v25.10.00

🚨 Breaking Changes

• Remove UCX-Py (#19979) @pentschev
• Revert "Migrate mixed join to use multiset #19660" (#19933) @PointKernel
• Fill missing values in Series/Index.values for numeric types with np.nan by default (#19923) @mroeschke
• Remove deprecated DataFrame.apply_rows, deprecate DataFrame.apply_chunks and Groupby.apply_grouped (#19896) @mroeschke
• Move prefetching out of experimental and simplify the API (#19875) @vyasr
• Add join *_match_context APIs to hash join (#19835) @PointKernel
• Vendor libnvcomp in libcudf (#19743) @bdice
• Migrate mixed join to use multiset (#19660) @PointKernel
• Separate row mask and page mask computation and usage (#19537) @mhaseeb123
• [FEA] Implement null-aware transforms and filters (#19502) @lamarrr
• Support output-type for MEDIAN/QUANTILE aggregation in cudf::reduce (#19267) @davidwendt

🐛 Bug Fixes

• Fix edge cases in statistics collection (#20094) @rjzamora
• Fix multi-partition Filter bug (#20075) @rjzamora
• Fix reindex to fill only the reindexed values with fill_value (#20063) @galipremsagar
• Fix arrow arrays + numpy ufunc interaction (#20047) @galipremsagar
• Fix race conditions in ORC reader decimal decoding (#20044) @vuule
• Keep mr alive along with arrow tables and columns (#20028) @vyasr
• Fix value_counts missing nan bug (#20026) @galipremsagar
• Compatibility for rapidsmpf's unspill_partitions (#20020) @TomAugspurger
• Fix type metadata preservation in shift (#20017) @galipremsagar
• Fix incorrect type propagation in dataframe assignment (#20010) @galipremsagar
• Fix OOB memory read in decode_page_data_generic kernel (#19995) @davidwendt
• Fix data_type creation in ast::operation::instantiate (#19994) @davidwendt
• Skip Narwhals pandas get_dtype_backend[pyarrow] tests after ArrowDtype proxy changes (#19992) @Matt711
• Make cudf.pandas callables usable with inspect.getfullargspec (#19988) @mroeschke
• Align decimal dtypes to schema after parquet IO scan (#19974) @Matt711
• Avoid undefined numpy protocols on cudf.pandas proxy objects (#19968) @mroeschke
• Skip failing polars iceberg test (#19955) @Matt711
• Revert "Migrate mixed join to use multiset #19660" (#19933) @PointKernel
• Define FrozenList proxy independently in cudf.pandas (#19931) @mroeschke
• Ignore scalars when broadcasting for horizontal string concatenation in cudf-polars (#19893) @Matt711
• Fix is_valid_rolling_aggregation for STD aggregation (#19888) @davidwendt
• Fix a decompression parameter in the chunked ORC reader (#19882) @vuule
• Skip flaky stats tests pending follow up (#19881) @brandon-b-miller
• Require list type for is_valid_aggregation and MERGE_LISTS/SETS (#19876) @davidwendt
• Temporary solution to ensure data-source/sink stream ordering (#19874) @kingcrimsontianyu
• Check for integer overflow in cudf::strings::find_multiple (#19867) @davidwendt
• Fix missing stream from cudf::top_k_order (#19866) @davidwendt
• Disallow loc.setitem with list-like indexer when list elements not in index (#19851) @mroeschke
• Fix .str.replace ignoring n for single character replacements (#19848) @mroeschke
• Fix strings::find_instance warp parallel logic (#19845) @davidwendt
• Add changed-files to the needs of every job that requires it (#19830) @Matt711
• xfail polars decimal(precision=None) test (#19821) @Matt711
• Fix empty column returned by cudf::from_arrow_stream_column (#19812) @davidwendt
• Filter pandas warning in dask_cudf test (#19808) @TomAugspurger
• Update identify_stream_usage CUDA runtime hooks to CUDA 13 (#19807) @robertmaynard
• When bundling libnvcomp.so.X only append the major version value (#19786) @robertmaynard
• Improvements to pylibcudf.from_iterable_of_py (#19781) @Matt711
• Avoid using multiple Cache nodes with the same hash (#19769) @rjzamora
• Fix window var() test failures from float rounding (#19761) @Matt711
• Use is_compressed field from Parquet V2 data page headers to determine if they are compressed (#19755) @mhaseeb123
• Fix bug in eval function with nvtx-0.2.11 (#19754) @galipremsagar
• Fix ndsh benchmarks nvtx range usage (#19753) @davidwendt
• Support nan in non-floating point column in cudf-polars (#19742) @Matt711
• Fix filter call in benchmark (#19732) @vyasr
• Suppress NVRTC warning from stdint.h (#19712) @davidwendt
• Correctly decode boolean lists in chunked parquet reader (#19707) @mhaseeb123
• Add new xfails for xarray release (#19705) @vyasr
• Fix "--executor" pytest parameter for cudf-polars (#19703) @rjzamora
• Match polars semantics for rolling-sum with all-null windows (non-empty) (#19680) @Matt711
• [BUG] Set query_set arg when validating/running cudf-polars PDS-DS benchmarks (#19674) @Matt711
• Fix group_by().agg() on non-aggregatable dtypes (#19669) @Matt711
• Fix broken links in 10min notebook (#19665) @Matt711
• Skip managed memory test if managed memory not supported in cudf-polars (#19653) @Matt711
• Fix integer overflow in warp-per-row grid calculation (#19638) @davidwendt
• Propagate exceptions thrown in async IO operations (#19628) @vuule
• Make DataFrame.dtypes not fallback to CPU always (#19627) @galipremsagar
• Set scalar to valid in range_window_bounds unbounded/current_row (#19622) @davidwendt
• Enable data page mask computation for nullable list and struct columns (#19617) @mhaseeb123
• Fix cudf::sequence() to throw exception for invalid scalar inputs (#19612) @davidwendt
• Fix uninitialized variable and misaligned write in parquet generic decoder (#19601) @mhaseeb123
• Compatibility with rapidsmpf 25.10.0 (#19591) @TomAugspurger
• Avoid querying device memory on systems without it in dask-cudf (#19577) @Matt711
• Avoid querying device memory on systems without it in cudf-polars benchmarks (#19575) @Matt711
• Increase alignment requirement for parquet bloom filter to 256 (#19573) @mhaseeb123
• Fix strftime with non-exact %a, %A, %b, %B (#19570) @mroeschke
• Fix OOB memcheck error in group_rank_to_percentage utility (#19567) @davidwendt
• Fix logic for number of unique values generated by data profile in benchmarks (#19540) @shrshi
• Fix contiguous-split nvbench cmake build (#19534) @davidwendt
• Fix value counts expression when the column has nulls (#19524) @Matt711
• Prefer Column.astype over plc.unary.cast in the fill null unary function expression (#19479) @Matt711
• Fix missing return in StringFunction.Strptime strict=True path (#19464) @Matt711
• Make dividing a boolean column return f64 dtype in cudf-polars (#19443) @Matt711
• branch-25.10-merge-branch-25.08 (#19429) @davidwendt
• Replace sprintf with std::format in libcudf parquet tests (#19364) @davidwendt

📖 Documentation

• Update missing docs (#19925) @vyasr
• Add examples of null handling to doxygen for cudf::rank (#19774) @davidwendt
• Fix cudf-polars dependency list docs (#19750) @pentschev
• Update cuDF classic testing documention regarding testing organization (#19745) @mroeschke
• Improve documentation around why we need no_gc_clear on pylibcudf Scalars (#19661) @vyasr

🚀 New Features

• Add memory resource parameters to interop, merge, and transpose (#20007) @vyasr
• Add mixed join benchmark with complex AST operators (#20004) @PointKernel
• Add memory resource arguments to join, round, and labeling (#20001) @vyasr
• cudf-polars strptime format inference (#19997) @brandon-b-miller
• Filter parquet row groups using byte offset bounds (#19991) @mhaseeb123
• Add memory resource arguments to concatenate (#19943) @vyasr
• Use column statistics to generate the physical plan in cuDF-Polars (#19940) @rjzamora
• Add all missing stream parameters (#19922) @vyasr
• Remote IO support in cudf-polars (#19921) @Matt711
• Add streams to io/timezone and io/text modules (#19913) @vyasr
• Add stream support to all nvtext modules (#19911) @vyasr
• Add streams to all top-level strings modules (#19910) @vyasr
• Update strings split APIs with stream parameters (#19909) @vyasr
• Support ordered grouped windows in cudf-polars (#19891) @Matt711
• Add local row-count and unique-count estimates to explain(... logical=True) (#19864) @rjzamora
• Add join *_match_context APIs to hash join (#19835) @PointKernel
• Support rank(...).over(...) expressions in cudf-polars (#19803) @Matt711
• Add strings to/from encoded integer APIs (#19789) @davidwendt
• Add to_arrow method to pylibcudf core types (#19787) @Matt711
• Add streams to strings convert APIs (#19780) @vyasr
• Add an option to support reading ORC timestamp column as UTC time. (#19773) @res-life
• Support null_count in groupby/rolling context (#19739) @Matt711
• Collect join-key information in cudf-polars (#19736) @rjzamora
• Add count aggregation support to cudf::reduce (#19734) @davidwendt
• [FEA] Implement AST Expression - JIT codegen (#19733) @lamarrr
• Add streams to all scalar factories (#19729) @vyasr
• Add streams to reshape (#19728) @vyasr
• Add streams to null mask APIs (#19727) @vyasr
• Add streams to column APIs (#19726) @vyasr
• Construct next-gen parquet reader with pre-populated footer (#19724) @mhaseeb123
• Require numba-cuda>=0.19.0,<0.20.0a0 (#19711) @brandon-b-miller
• Support over expression (window mapping) in cudf-polars (#19684) @Matt711
• Add streams support to all list APIs (#19683) @vyasr
• [FEA] Add Filter Benchmark (#19678) @lamarrr
• Add streams to pylibcudf join APIs (#19672) @vyasr
• Add streams to sorting APIs (#19671) @vyasr
• [FEA] Remove excessive copies of JITIFY's ProgramData during JIT kernel launch (#19667) @lamarrr
• Add streams to hashing APIs (#19663) @vyasr
• Use a more robust metric for sorting (de)compression tasks (#19656) @vuule
• Add streams support to datetime APIs (#19654) @vyasr
• Add streams to stream_compaction (#19651) @vyasr
• Enable casting pl.Datetime to integer types in cudf-polars (#19647) @brandon-b-miller
• Add Java JNI interface to get Gpu UUID (#19646) @res-life
• Add reduction with overflow detection (#19641) @PointKernel
• Upgrade to nvCOM...

[NIGHTLY] v25.12.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Change .str.starts/endswith with tuple argument to match any pattern instead of pairwise matching (#20249) @mroeschke
• Remove DataFrame.apply_chunks, Groupby.apply_grouped (#20194) @mroeschke
• [cudf-polars] CUDA stream (#20154) @madsbk
• Remove compatibility with nvCOMP versions before 5.0 (#20140) @vuule
• Rewrite JNI functions to use JNI_TRY/JNI_CATCH (#19053) @ttnghia

🐛 Bug Fixes

• We need this to pacify mypy (#20285) @wence-
• Purge non-empty nulls for the generated lists columns in data generation utility (#20283) @ttnghia
• Add Proxy for SparseAccessor (#20278) @galipremsagar
• Add private attributes for cudf.pandas proxy objects (#20276) @galipremsagar
• Pin ibis-framework<11.0.0 (#20267) @Matt711
• Pin deltalake in cudf-polars-polars-tests CI job (#20255) @TomAugspurger
• Add stream and mr arguments to Column.from_arrow type stub (#20244) @TomAugspurger
• Fix the host-device tdigest offsets by using cuda::std::span (#20220) @PointKernel
• Deallocation should be noexcept (#20219) @bdice
• Change stream_checking_resource_adaptor::do_deallocate to noexcept (#20218) @vyasr
• Fix a race condition in the decode of delta encoded Parquet columns (#20216) @vuule
• Handle NVMLError_NotSupported in cudf-polars (#20179) @TomAugspurger
• Require passing memory resources to from_libcudf methods (#20171) @vyasr
• Fix RMM JNI pinned_fallback_host_memory_resource for CCCL 3.1.0 (#20160) @bdice
• Fix arrow timestamp frequency cases in cudf.pandas (#20128) @galipremsagar
• Fix cudf.date_range with non-iso start and end date strings (#20116) @mroeschke
• Unproxy few unnecessary testing utilities in pandas (#20088) @galipremsagar
• Fix create_distinct_rows_column to create non-nullable columns (#20082) @davidwendt
• Handle missing nightly runs in pandas tests job (#20081) @galipremsagar
• Cast inputs to true division from decimal to float (#20077) @Matt711
• Copy attrs at correct place in DataFrame constructor (#20074) @galipremsagar
• Fix numpy ufunc for DataFrame (#20070) @galipremsagar
• Align decimal dtypes in predicate before conditional join (#20060) @Matt711
• Enable hash-groupby for decimal32/64 type and MEAN aggregation (#20040) @davidwendt
• Fix libcudf groupby benchmarks to not include internal cache (#20038) @davidwendt

📖 Documentation

• Add profiling guide (#20292) @bdice
• Add note that --rmm-async only affects distributed scheduler. (#20129) @bdice

🚀 New Features

• Implement ARGMIN and ARGMAX aggregations for reduction (#20207) @ttnghia
• Add remaining memory resources (#20197) @vyasr
• Add memory resources to scalars (#20196) @vyasr
• Skip decompression of pruned parquet pages (#20192) @mhaseeb123
• Add memory resources to replace, json, and hashing (#20150) @vyasr
• Support decimal literals in cudf-polars (#20147) @Matt711
• Add pylibcudf is_valid_reduce_aggregation API (#20145) @davidwendt
• Add memory resources to I/O modules (#20136) @vyasr
• Add memory resources to reduce, column, column_factories, and contiguous_split (#20135) @vyasr
• Passthrough unary ops through Parquet predicate pushdown (#20127) @mhaseeb123
• Add memory resource to all strings modules (#20123) @vyasr
• Add memory resources to all nvtext APIs (#20119) @vyasr
• Add an example to inspect parquet files and dump row group and page level metadata information (#20117) @mhaseeb123
• Allow multiple calls to cudf::initialize and cudf::deinitialize (#20111) @vuule
• Remove rounding from cudf java (#20110) @pmattione-nvidia
• Add memory resources to groupby, datetime, and lists modules (#20102) @vyasr
• Add memory resources to search, reshape, and partitioning module (#20101) @vyasr
• Add memory resources to rolling, sorting, and quantiles modules (#20099) @vyasr
• Add memory resources to binaryop, copying, and stream_compaction (#20059) @vyasr
• Add memory resources to unary, transform, and filling modules (#20054) @vyasr
• Support cum_sum(...).over(...) expressions in cudf-polars (#19908) @Matt711
• Support forward/backward filling null values in a grouped window context (#19907) @Matt711
• [FEA] Implement JIT Filter for read_parquet (#19831) @lamarrr
• Add an example to demonstrate the use of next-gen parquet reader to read a parquet file with highly selective filters (#19469) @mhaseeb123
• Rewrite JNI functions to use JNI_TRY/JNI_CATCH (#19053) @ttnghia
• Add support for maintain_order param in joins (#17698) @Matt711

🛠️ Improvements

• Add more Python type annotations to cudf/core (#20287) @mroeschke
• Skip mypy in pre-commit.ci (#20286) @bdice
• Remove extraneous host_memory_resource include (#20284) @bdice
• Add numpy to the mypy pre-commit environment (#20282) @vyasr
• Add MultiIndex.dtypes (#20279) @galipremsagar
• Add more type annotations to cudf/core/column subclasses (#20277) @mroeschke
• Handle unordered grouped windows properly for null filling and cum sums (#20275) @Matt711
• Unpin DuckDB and Ibis in cudf.pandas thirdparty tests (#20269) @mroeschke
• Enable sccache-dist connection pool (#20264) @trxcllnt
• Add ability to set the source_info of parquet_reader_options (#20253) @wence-
• Update ConfigOptions for rapidsmpf-streaming integration (#20252) @rjzamora
• Add arm testing of cudf.pandas unit tests (#20251) @vyasr
• Add pylibcudf to pre-commit linting and fix outstanding errors (#20250) @vyasr
• Change .str.starts/endswith with tuple argument to match any pattern instead of pairwise matching (#20249) @mroeschke
• Move and rename ScanPartitionPlan (#20248) @rjzamora
• Standardize setting StructDtype field names post libcudf conversion (#20235) @mroeschke
• Prevent accidental copies of expensive-to-copy object types (#20226) @vuule
• More mypy and docs fixes (#20224) @vyasr
• Configuration for which metrics are enabled during tracing (#20223) @TomAugspurger
• Fix parquet row number check for page bounds (#20217) @pmattione-nvidia
• Rename comparison_binop_generator to arg_minmax_binop_generator and corresponding file to nested_types_extrema_utils.cuh (#20212) @Copilot
• Fix various typing errors (#20205) @vyasr
• Stop using libcudf default parameters in pylibcudf (#20204) @vyasr
• Pin pydantic<2.12 in ci/test_cudf_polars_polars_tests.sh (#20200) @mroeschke
• Support binops between float scalar to decimal column (#20199) @mroeschke
• Add an overhead field to cudf-polars tracing (#20198) @TomAugspurger
• Remove DataFrame.apply_chunks, Groupby.apply_grouped (#20194) @mroeschke
• [pre-commit.ci] pre-commit autoupdate (#20189) @pre-commit-ci[bot]
• Revert "Temporarily disable conda-java-tests" (#20184) @bdice
• Don't assume cudf_polars benchmarking scale factor is always an integer (#20182) @mroeschke
• Remove unnecessary work from read_parquet_metadata (#20180) @vuule
• Reduce execution times for parquet dictionary tests (#20176) @mhaseeb123
• Skip filtering Parquet row groups with dictionaries if there are non-dict encoded pages (#20175) @mhaseeb123
• Improve performance of groupby tdigests gtests (#20173) @davidwendt
• Update to rapids-logger 0.2 (#20172) @bdice
• Split row operator header (#20166) @PointKernel
• Add PDSH benchmark runner for cudf.pandas (#20164) @mroeschke
• Temporarily disable conda-java-tests (#20162) @bdice
• Manual forward merger for Branch 25.12 - branch 25.10 (#20157) @galipremsagar
• [cudf-polars] CUDA stream (#20154) @madsbk
• Avoid NumericalColumn call from CategoricalColumn.children (#20153) @mroeschke
• Branch 25.12 merge branch 25.10 (#20152) @vyasr
• Make ListColumn._transform_leaves convert via pylibcudf (#20151) @mroeschke
• Make ColumnBase.as_*_column convert via pylibcudf (#20149) @mroeschke
• Make ColumnBase.deserialize construct via pylibcudf (#20142) @mroeschke
• Remove unused ColumnBase.view (#20141) @mroeschke
• Remove compatibility with nvCOMP versions before 5.0 (#20140) @vuule
• Adjust rmm pool handling in PDSH benchmarks (#20138) @TomAugspurger
• Fix slowdown in cudf-polars distributed tests (#20137) @TomAugspurger
• Disable async MR priming in cudf.pandas (#20133) @bdice
• Fix type annotations in cudf-polars (#20131) @TomAugspurger
• Add tests for AUTO and HYBRID (de)compression modes (#20126) @vuule
• Run cudf-polars wheels unit tests with more than 1 process (#20124) @mroeschke
• Add pyarrow stubs to mypy environment and fix associated errors (#20118) @vyasr
• Avoid running pandas unit tests for private functionality with cudf.pandas (#20115) @mroeschke
• Remove MultiIndex.from_pandas pytest benchmark (#20112) @mroeschke
• Use 8 processes for pandas tests, show top 10 test times (#20109) @bdice
• Reduce verbosity of running the pandas test suite (#20107) @vyasr
• Switch host_vector and host_span dependency (#20106) @davidwendt
• Make Column.set_mask go through pylibcudf (#20103) @mroeschke
• Have ListColumn.from_sequence go through pylibcudf (#20098) @mroeschke
• Deprecate legacy public row operators (#20097) @PointKernel
• Fix RAPIDS_BRANCH version and update script (#20091) @galipremsagar
• Reduce output buffer sizes for pruned pages of columns with a list parent (#20086) @mhaseeb123
• Avoid direct CategoricalColumn calls in dask_cudf (#20080) @mroeschke
• Rework reduction case statement as dispatch_type_and_aggregation (#20078) @davidwendt
• Avoid shadowing module names (#20071) @vyasr
• Fix typing issues in pylibcudf (#20069) @vyasr
• Avoid more explicit calls to IntervalColumn and StructColumn (#20064) @mroeschke
• Cleanup of some libcudf aggregation code (#20053) @davidwendt
• Prune entries in Sphinx nitpick_ignore (#20045) @mroeschke
• Deprecate .from_pandas constructor (#19996) @mroeschke
• Improve performance of string column size computation during parquet reads. (#19986) @nvdbaranec
• Run cudf-polars conda unit tests with more than 1 process (#19980) @mroeschk...

v25.08.00

🚨 Breaking Changes

• Allow np.dtype('object') for cases that are valid (#19478) @galipremsagar
• [FEA] Remove CUDA JIT-Compatibility Checks & CCCL WARs (#19470) @lamarrr
• Drop cuda 11 usages (#19386) @galipremsagar
• Deprecate cudf::round for float types (#19298) @davidwendt
• Support output_dtype in cudf::reduce for nunique aggregation (#19265) @davidwendt
• Change default cudf-polars executor to "streaming" (#19263) @TomAugspurger
• Fix Handling of Complex Types in AST (#19248) @lamarrr
• Enable chunked reading of PQ sources with >2B rows (#19245) @mhaseeb123
• Refactor grid_1d class (#19211) @lamarrr
• Return valid for all-nulls in reduce() with nunique include-nulls aggregation (#19196) @davidwendt
• Refactor JNI error handling (#19149) @ttnghia
• Remove CUDA 11 from dependencies.yaml (#19139) @KyleFromNVIDIA
• Quick fixes of modernize-use-constraints rule (#19105) @vuule
• Filter Parquet row groups using row bounds (#19082) @mhaseeb123
• Temporarily revert "Refactor JNI error handling (#18983)" (#19076) @abellina
• Rename parquet_chunked_writer to chunked_parquet_writer for consistency with the reader (#19047) @mhaseeb123
• Compile libcudf using C++20 Standard (#19045) @vuule
• Refactor JNI error handling (#18983) @ttnghia
• stop uploading packages to downloads.rapids.ai (#18973) @jameslamb
• Remove deprecated Series methods, isclose (#18947) @mroeschke
• Remove deprecated groupby.collect (#18946) @mroeschke
• Remove deprecated get_dummies(cats=, ...) (#18944) @mroeschke
• Add pylibcudf.Column.from_arrow factory method (#18937) @Matt711
• Add pylibcudf.Table.from_arrow factory method (#18936) @Matt711
• Remove deprecated APIs (#18933) @vuule
• Remove cudf.Scalar (#18927) @mroeschke
• Remove deprecated cudf::io::host_buffer (#18881) @Matt711
• Null-handling for Transforms (#18845) @lamarrr
• Enable skip_rows in the chunked parquet reader. (#18130) @mhaseeb123

🐛 Bug Fixes

• Increase alignment requirement for parquet bloom filter to 256 (#19595) @mhaseeb123
• Revert "Add primitive row dispatch support for semi/anti join and cudf::contains" (#19503) @PointKernel
• Allow np.dtype('object') for cases that are valid (#19478) @galipremsagar
• Add conda dependency on nvidia-ml-py. (#19454) @bdice
• Mark cudf.pandas notebook repr test as flaky (#19441) @Matt711
• Fix pytest to properly expose a bug (#19433) @galipremsagar
• Switch from thrust::sort to cub::DeviceRadixSort in Parquet chunked reader (#19414) @ttnghia
• Use numba-cuda>=0.15.2,<0.16 (#19413) @bdice
• Update String Transform Examples (#19407) @lamarrr
• [BUG] Make floor division and modulo by 0 match CPU polars (#19406) @Matt711
• Handle empty input in cudf::strings::extract APIs (#19398) @davidwendt
• Fix jitify error on exit from FILTER_TEST (#19395) @davidwendt
• Update cudf.pandas tests to silence deprecation warnings (#19377) @Matt711
• Replace sprintf with snprintf in libcudf parquet tests (#19371) @davidwendt
• Make DateOffset respect timezone (#19366) @Matt711
• Fix flaky tests in cudf.pandas (#19345) @TomAugspurger
• Update protocol choices for ucxx in PDSH benchmark (#19343) @TomAugspurger
• Remove passing pandas tests from xfail list (#19341) @Matt711
• Fix Union-Slice bug (#19336) @Matt711
• Fix bit shift overflow in segmented_offset_bitmask_binop utility (#19329) @davidwendt
• Fix job filters for pandas-tests (#19322) @galipremsagar
• Fix compile warning in interop_stringview.cpp (#19320) @davidwendt
• Fix a use-after-free issue in TDigest aggregation code. (#19311) @nvdbaranec
• Always represent datetime aware data as UTC in strftime (#19304) @mroeschke
• Do not pass cupy objects objects to numba kernels directly (#19283) @brandon-b-miller
• Correct docstring for DataFrame.apply to match code (#19262) @dagardner-nv
• Cast n_unique aggregation result to match polars (#19256) @Matt711
• Fix Handling of Complex Types in AST (#19248) @lamarrr
• Add missing include (#19239) @vyasr
• Raised MixedTypeErrors for condition that lead to mixed types (#19232) @galipremsagar
• Fix errors in the nvCOMP adapter (#19221) @vuule
• Remove nvToolsExt usage (#19209) @vyasr
• Fix a pair of bugs in get_decompression_scratch() size. (#19207) @nvdbaranec
• Allow is_list_like to return correct values by disabling it (#19188) @galipremsagar
• Fix slicing after Join and GroupBy in streaming cudf-polars (#19187) @rjzamora
• Fix binops type preservation for some dtypes (#19183) @galipremsagar
• Fix streaming GroupBy on non-trivial keys (#19181) @rjzamora
• Fix bitmask in from_arrow_host for sliced stringview type (#19174) @davidwendt
• Fixed group_by mean with missing values and multiple partitions (#19165) @TomAugspurger
• Add fallback to HStack lowering in cudf-polars (#19163) @rjzamora
• Fix Literal partitioning in cudf-polars (#19160) @rjzamora
• Fix from_array_interface for empty arrays (#19144) @Matt711
• Adding GH_TOKEN pass-through to summarize job (#19143) @msarahan
• Fix hash collision in Union([MapFunction]) (#19124) @TomAugspurger
• Fix bug in group_by().n_unique() in streaming cudf-polars (#19108) @rjzamora
• Parse (non-MultiIndex) label-based keys to structured data (#19103) @mroeschke
• Fix cudf_polars spilling (#19101) @TomAugspurger
• Fix libcudf strings case logic to set null-row size to zero (#19095) @davidwendt
• Temporarily revert "Refactor JNI error handling (#18983)" (#19076) @abellina
• Temporary workaround for incorrect SplitScan results in cuDF-Polars (#19071) @rjzamora
• Use default memory resource for JSON_QUOTE_NORMALIZATION gtests (#19057) @davidwendt
• Added null-probability to polynomial benchmarks and fixed transform call-sites (#18972) @lamarrr
• Fix flaky custreamz test (#18961) @TomAugspurger
• Fix tdigest percentile correctness for low row-counts (#18952) @mythrocks
• Enable skip_rows in the chunked parquet reader. (#18130) @mhaseeb123

📖 Documentation

• Update conda environment file for CUDA 12.9 compatibility (#19376) @a-hirota
• Update recommended gcc version in contibuting guide (#19365) @davidwendt
• Autodoc DateOffset (#19297) @wence-
• Fix cudf::column_device_view::element() doxygen (#19296) @davidwendt
• Document aggregations for cudf::reduce in doxygen (#19264) @davidwendt
• add docs on CI workflow inputs (#19234) @jameslamb
• Update README and CONTRIBUTING to reflect new CUDA requirements (#19138) @PointKernel
• Remove the extra index URL for CUDA 12 (#19128) @vyasr
• Improve WordPieceVocabulary.tokenize documentation (#19098) @davidwendt
• Add some basic streaming engine documentation (#19088) @wence-
• Update the contributing guide to include pylibcudf in the build command (#19011) @Matt711
• Fix pylibcudf docs for some strings APIs (#19004) @davidwendt
• Update cuDF Python library design with BaseIndex and pylibcudf updates (#18903) @mroeschke

🚀 New Features

• Avoid using UVM on systems without a traditional memory resource (#19444) @Matt711
• Add parquet-sampling configuration options (#19423) @rjzamora
• Add new JSON reader interface accepting string column input to pylibcudf (#19400) @shrshi
• Add a parquet reader utility to update output null masks (#19370) @mhaseeb123
• Build and ship shim.cu file as LTOIR (#19368) @brandon-b-miller
• Add cudf::strings::find_instance API (#19326) @davidwendt
• Add single-file streaming Sink support (#19317) @rjzamora
• Support null_count expression (#19314) @Matt711
• Materialize tables in the experimental Parquet reader (#19308) @mhaseeb123
• Add new cudf::top_k API (#19303) @davidwendt
• Add cudf::strings::split_part API (#19289) @davidwendt
• Support output_dtype in cudf::reduce for nunique aggregation (#19265) @davidwendt
• Add post_traversal API to cudf-polars (#19258) @rjzamora
• Deprecate DataFrame.apply_rows (#19218) @brandon-b-miller
• Require numba-cuda>=0.16.0 (#19213) @brandon-b-miller
• Add a mode to co-process decompression and compression on host and device (#19203) @vuule
• Return valid for all-nulls in reduce() with nunique include-nulls aggregation (#19196) @davidwendt
• Refactor JNI error handling (#19149) @ttnghia
• Add support for horizontal string concatenation pl.concat_str (#19142) @Matt711
• Add PDS-DS Query 1 (#19131) @Matt711
• Support cudf-polars str.reverse (#19117) @brandon-b-miller
• Support cudf-polars str.pad_end and str.pad_start (#19116) @brandon-b-miller
• Support cudf-polars str.head and str.tail (#19115) @brandon-b-miller
• Support cudf-polars str.to_titlecase (#19114) @brandon-b-miller
• Add cudf/io/codec.hpp to expose compression/decompression APIs (#19113) @ttnghia
• Support converting decimals to/from pylibcudf scalars (#19106) @Matt711
• Support resource-constrained sort-merge inner join operation through left table partitioning (#19102) @shrshi
• Filter Parquet row groups using row bounds (#19082) @mhaseeb123
• Implement UDF Filters (#19070) @lamarrr
• Move the remaining libcudf pieces to C++20 (#19065) @vuule
• Allow using a stream per thread at runtime (#19051) @vyasr
• Remove stacktrace retrieval code (#19048) @ttnghia
• Compile libcudf using C++20 Standard (#19045) @vuule
• String Transform Examples: Added Branching, Public API Versions, and Sampling (#19038) @lamarrr
• Refactor JNI error handling (#18983) @ttnghia
• Add basic Sink support for streaming cudf-polars executor (#18963) @rjzamora
• Fix debug-build Failure in JIT Tests (#18939) @lamarrr
• Add from_arrow factory methods for Scalar and DataType (#18938) @Matt711
• Add pylibcudf.Column.from_arrow factory method (#18937) @Matt711
• Add pylibcudf.Table.from_arrow factory method (#18936) @Matt711
• Update nvCOMP adapter (#18931) @vuule
• Create a pylibcudf Column from a iterable of python strings (#18916) @Matt711
• Add CLI argument to enable OOM protection in PDS-H (#18914) @pentschev
• Implement data page pruning using Parquet page index stats (#18873) @mhaseeb123
• Null-handlin...

[NIGHTLY] v25.10.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Remove UCX-Py (#19979) @pentschev
• Revert "Migrate mixed join to use multiset #19660" (#19933) @PointKernel
• Fill missing values in Series/Index.values for numeric types with np.nan by default (#19923) @mroeschke
• Remove deprecated DataFrame.apply_rows, deprecate DataFrame.apply_chunks and Groupby.apply_grouped (#19896) @mroeschke
• Move prefetching out of experimental and simplify the API (#19875) @vyasr
• Add join *_match_context APIs to hash join (#19835) @PointKernel
• Vendor libnvcomp in libcudf (#19743) @bdice
• Migrate mixed join to use multiset (#19660) @PointKernel
• Separate row mask and page mask computation and usage (#19537) @mhaseeb123
• [FEA] Implement null-aware transforms and filters (#19502) @lamarrr
• Support output-type for MEDIAN/QUANTILE aggregation in cudf::reduce (#19267) @davidwendt

🐛 Bug Fixes

• Fix edge cases in statistics collection (#20094) @rjzamora
• Fix multi-partition Filter bug (#20075) @rjzamora
• Fix reindex to fill only the reindexed values with fill_value (#20063) @galipremsagar
• Fix arrow arrays + numpy ufunc interaction (#20047) @galipremsagar
• Fix race conditions in ORC reader decimal decoding (#20044) @vuule
• Keep mr alive along with arrow tables and columns (#20028) @vyasr
• Fix value_counts missing nan bug (#20026) @galipremsagar
• Compatibility for rapidsmpf's unspill_partitions (#20020) @TomAugspurger
• Fix type metadata preservation in shift (#20017) @galipremsagar
• Fix incorrect type propagation in dataframe assignment (#20010) @galipremsagar
• Fix OOB memory read in decode_page_data_generic kernel (#19995) @davidwendt
• Fix data_type creation in ast::operation::instantiate (#19994) @davidwendt
• Skip Narwhals pandas get_dtype_backend[pyarrow] tests after ArrowDtype proxy changes (#19992) @Matt711
• Make cudf.pandas callables usable with inspect.getfullargspec (#19988) @mroeschke
• Align decimal dtypes to schema after parquet IO scan (#19974) @Matt711
• Avoid undefined numpy protocols on cudf.pandas proxy objects (#19968) @mroeschke
• Skip failing polars iceberg test (#19955) @Matt711
• Revert "Migrate mixed join to use multiset #19660" (#19933) @PointKernel
• Define FrozenList proxy independently in cudf.pandas (#19931) @mroeschke
• Ignore scalars when broadcasting for horizontal string concatenation in cudf-polars (#19893) @Matt711
• Fix is_valid_rolling_aggregation for STD aggregation (#19888) @davidwendt
• Fix a decompression parameter in the chunked ORC reader (#19882) @vuule
• Skip flaky stats tests pending follow up (#19881) @brandon-b-miller
• Require list type for is_valid_aggregation and MERGE_LISTS/SETS (#19876) @davidwendt
• Temporary solution to ensure data-source/sink stream ordering (#19874) @kingcrimsontianyu
• Check for integer overflow in cudf::strings::find_multiple (#19867) @davidwendt
• Fix missing stream from cudf::top_k_order (#19866) @davidwendt
• Disallow loc.setitem with list-like indexer when list elements not in index (#19851) @mroeschke
• Fix .str.replace ignoring n for single character replacements (#19848) @mroeschke
• Fix strings::find_instance warp parallel logic (#19845) @davidwendt
• Add changed-files to the needs of every job that requires it (#19830) @Matt711
• xfail polars decimal(precision=None) test (#19821) @Matt711
• Fix empty column returned by cudf::from_arrow_stream_column (#19812) @davidwendt
• Filter pandas warning in dask_cudf test (#19808) @TomAugspurger
• Update identify_stream_usage CUDA runtime hooks to CUDA 13 (#19807) @robertmaynard
• When bundling libnvcomp.so.X only append the major version value (#19786) @robertmaynard
• Improvements to pylibcudf.from_iterable_of_py (#19781) @Matt711
• Avoid using multiple Cache nodes with the same hash (#19769) @rjzamora
• Fix window var() test failures from float rounding (#19761) @Matt711
• Use is_compressed field from Parquet V2 data page headers to determine if they are compressed (#19755) @mhaseeb123
• Fix bug in eval function with nvtx-0.2.11 (#19754) @galipremsagar
• Fix ndsh benchmarks nvtx range usage (#19753) @davidwendt
• Support nan in non-floating point column in cudf-polars (#19742) @Matt711
• Fix filter call in benchmark (#19732) @vyasr
• Suppress NVRTC warning from stdint.h (#19712) @davidwendt
• Correctly decode boolean lists in chunked parquet reader (#19707) @mhaseeb123
• Add new xfails for xarray release (#19705) @vyasr
• Fix "--executor" pytest parameter for cudf-polars (#19703) @rjzamora
• Match polars semantics for rolling-sum with all-null windows (non-empty) (#19680) @Matt711
• [BUG] Set query_set arg when validating/running cudf-polars PDS-DS benchmarks (#19674) @Matt711
• Fix group_by().agg() on non-aggregatable dtypes (#19669) @Matt711
• Fix broken links in 10min notebook (#19665) @Matt711
• Skip managed memory test if managed memory not supported in cudf-polars (#19653) @Matt711
• Fix integer overflow in warp-per-row grid calculation (#19638) @davidwendt
• Propagate exceptions thrown in async IO operations (#19628) @vuule
• Make DataFrame.dtypes not fallback to CPU always (#19627) @galipremsagar
• Set scalar to valid in range_window_bounds unbounded/current_row (#19622) @davidwendt
• Enable data page mask computation for nullable list and struct columns (#19617) @mhaseeb123
• Fix cudf::sequence() to throw exception for invalid scalar inputs (#19612) @davidwendt
• Fix uninitialized variable and misaligned write in parquet generic decoder (#19601) @mhaseeb123
• Compatibility with rapidsmpf 25.10.0 (#19591) @TomAugspurger
• Avoid querying device memory on systems without it in dask-cudf (#19577) @Matt711
• Avoid querying device memory on systems without it in cudf-polars benchmarks (#19575) @Matt711
• Increase alignment requirement for parquet bloom filter to 256 (#19573) @mhaseeb123
• Fix strftime with non-exact %a, %A, %b, %B (#19570) @mroeschke
• Fix OOB memcheck error in group_rank_to_percentage utility (#19567) @davidwendt
• Fix logic for number of unique values generated by data profile in benchmarks (#19540) @shrshi
• Fix contiguous-split nvbench cmake build (#19534) @davidwendt
• Fix value counts expression when the column has nulls (#19524) @Matt711
• Prefer Column.astype over plc.unary.cast in the fill null unary function expression (#19479) @Matt711
• Fix missing return in StringFunction.Strptime strict=True path (#19464) @Matt711
• Make dividing a boolean column return f64 dtype in cudf-polars (#19443) @Matt711
• branch-25.10-merge-branch-25.08 (#19429) @davidwendt
• Replace sprintf with std::format in libcudf parquet tests (#19364) @davidwendt

📖 Documentation

• Update missing docs (#19925) @vyasr
• Add examples of null handling to doxygen for cudf::rank (#19774) @davidwendt
• Fix cudf-polars dependency list docs (#19750) @pentschev
• Update cuDF classic testing documention regarding testing organization (#19745) @mroeschke
• Improve documentation around why we need no_gc_clear on pylibcudf Scalars (#19661) @vyasr

🚀 New Features

• Add memory resource parameters to interop, merge, and transpose (#20007) @vyasr
• Add mixed join benchmark with complex AST operators (#20004) @PointKernel
• Add memory resource arguments to join, round, and labeling (#20001) @vyasr
• cudf-polars strptime format inference (#19997) @brandon-b-miller
• Filter parquet row groups using byte offset bounds (#19991) @mhaseeb123
• Add memory resource arguments to concatenate (#19943) @vyasr
• Use column statistics to generate the physical plan in cuDF-Polars (#19940) @rjzamora
• Add all missing stream parameters (#19922) @vyasr
• Remote IO support in cudf-polars (#19921) @Matt711
• Add streams to io/timezone and io/text modules (#19913) @vyasr
• Add stream support to all nvtext modules (#19911) @vyasr
• Add streams to all top-level strings modules (#19910) @vyasr
• Update strings split APIs with stream parameters (#19909) @vyasr
• Support ordered grouped windows in cudf-polars (#19891) @Matt711
• Add local row-count and unique-count estimates to explain(... logical=True) (#19864) @rjzamora
• Add join *_match_context APIs to hash join (#19835) @PointKernel
• Support rank(...).over(...) expressions in cudf-polars (#19803) @Matt711
• Add strings to/from encoded integer APIs (#19789) @davidwendt
• Add to_arrow method to pylibcudf core types (#19787) @Matt711
• Add streams to strings convert APIs (#19780) @vyasr
• Add an option to support reading ORC timestamp column as UTC time. (#19773) @res-life
• Support null_count in groupby/rolling context (#19739) @Matt711
• Collect join-key information in cudf-polars (#19736) @rjzamora
• Add count aggregation support to cudf::reduce (#19734) @davidwendt
• [FEA] Implement AST Expression - JIT codegen (#19733) @lamarrr
• Add streams to all scalar factories (#19729) @vyasr
• Add streams to reshape (#19728) @vyasr
• Add streams to null mask APIs (#19727) @vyasr
• Add streams to column APIs (#19726) @vyasr
• Construct next-gen parquet reader with pre-populated footer (#19724) @mhaseeb123
• Require numba-cuda>=0.19.0,<0.20.0a0 (#19711) @brandon-b-miller
• Support over expression (window mapping) in cudf-polars (#19684) @Matt711
• Add streams support to all list APIs (#19683) @vyasr
• [FEA] Add Filter Benchmark (#19678) @lamarrr
• Add streams to pylibcudf join APIs (#19672) @vyasr
• Add streams to sorting APIs (#19671) @vyasr
• [FEA] Remove excessive copies of JITIFY's ProgramData during JIT kernel launch (#19667) @lamarrr
• Add streams to hashing APIs (#19663) @vyasr
• Use a more robust metric for sorting (de)compression tasks (#19656) @vuule
• Add streams support to datetime APIs (#19654) @vyasr
• Add streams to stream_compaction (#19651) @vyasr
• Enable casting pl.Datetime to integer types in ...

v25.06.00

🚨 Breaking Changes

• Remove cudf.BaseIndex (#18751) @mroeschke
• Implement BIT_COUNT unary operation (#18589) @ttnghia
• Expose column chunk metadata in read_parquet_metadata() (#18579) @mhaseeb123
• Fix overflow for MERGE_M2 groupby aggregation (#18546) @ttnghia
• Deduplicate parquet physical type enums (#18526) @mhaseeb123
• Implemented String Output & User-data Support for Transforms (#18490) @lamarrr
• Promote Parquet type enums to enum classes (#18441) @mhaseeb123
• Move parquet schema types and structs to public headers (#18424) @mhaseeb123
• Start removal of vector factories with _sync suffix by deprecating them and adding versions without the suffix (#18414) @vuule
• Skip decoding of pages marked as pruned in PQ reader (#18347) @mhaseeb123
• Deprecate nvtext subword tokenizer (#18334) @davidwendt
• Add standard data ingestion pipelines to pylibcudf for ndarrays (#18311) @Matt711
• Remove extranous modules from top level cudf namespace (#18287) @mroeschke
• Add Keep Option Parameter to Distinct (#18237) @warrickhe
• Update to CCCL 2.8.x with no CCCL patches (#18235) @bdice

🐛 Bug Fixes

• Disable pytest benchmark for Narwhals CI job (#19074) @Matt711
• Avoid undefined behaviour in rolling_store_output_functor (#19069) @wence-
• Filter out pkg_resources UserWarning to make nightly CI pass (#19058) @Matt711
• Pin deltalake to <1.0.0 (#19017) @Matt711
• [BUG] Incorrectly getting the caller's frame when searching for locals and globals in cudf.pandas (#18979) @Matt711
• Ensure gc fixture is used in custreamz test (#18915) @TomAugspurger
• Fix a potential segfault in PQ reader's number of rows per source calculation (#18906) @mhaseeb123
• Fix Dataframe getitem when MultiIndex columns exist (#18880) @galipremsagar
• Ensure eq/ne between Columns in public objects don't return bool (#18875) @mroeschke
• Fix fencepost error in Repartition task generation (#18854) @wence-
• Fix cudf_polars pl.col(...).len() always excluding null values (#18849) @mroeschke
• Throw a descriptive exception in Parquet reader when trying to read files with more than two billion rows (#18835) @mhaseeb123
• Skip a decompression test (#18825) @vuule
• Update strings benchmarks to use alloc_size column/table function (#18822) @davidwendt
• Fix host decompression of empty DEFLATE data (#18805) @vuule
• Avoid going OOM in test_row_limit_exceed_raises by using dummy array (#18802) @Matt711
• Fix host decompression of empty Snappy data (#18800) @vuule
• Skip test that fails due to polars issue (#18787) @wence-
• Ensure scalar dtype is always set in from_py (#18780) @vyasr
• Fix reading of Snappy compressed Avro files (#18774) @vuule
• Fix missing semicolon in label_bins.cu (#18765) @evanramos-nvidia
• Fix noexcept annotations on strings_column_view (#18763) @wence-
• Fix integer overflows in pylibcudf from_column_view_of_arbitrary (#18758) @wence-
• Fix overflow case and clean up some logic (#18734) @vyasr
• Link to nvtx3::nvtx3-cpp instead of nvToolsExt (#18730) @jakirkham
• Revise DaskIntegration protocol to align with rapidsmpf (#18720) @rjzamora
• Fix skip_compression option in the Parquet writer with host compression (#18714) @vuule
• Add missing header (#18671) @vyasr
• Revert "Set flag to always use unsafe atomic storage" (#18657) @PointKernel
• Fix optional operator* called on a disengaged value in clamp.cu (#18655) @davidwendt
• Add missing header to host_memory.cpp (#18649) @alliepiper
• Fix device compression when writing Parquet files without using nvCOMP (#18644) @vuule
• Add CUDA_ARCHITECTURES setting to cpp-linters script (#18637) @davidwendt
• Pin to cython<3.1 (#18617) @wence-
• Fix DataFrame.memory_usage output order (#18595) @mroeschke
• Set flag to always use unsafe atomic storage (#18590) @PointKernel
• Update KvikIO S3 endpoint usage (#18565) @kingcrimsontianyu
• Skip cuml third-party integration tests that may segfault (#18561) @Matt711
• Allow .iloc with cuDF objects as column indexers (#18558) @mroeschke
• Fix overflow for MERGE_M2 groupby aggregation (#18546) @ttnghia
• Add back cudf root (#18544) @vyasr
• Change default memory resource for 'distributed' cudf-polars (#18531) @rjzamora
• Fix copy-on-write buffer separation and cleanup (#18530) @galipremsagar
• Fix cpp examples cmake to use the rapids_config.cmake (#18501) @davidwendt
• Rename rapidsmp to rapidsmpf (#18493) @rjzamora
• Fix compilation with the C++20 standard (#18486) @vuule
• Fix an error when reading some compressed Parquet V2 files (#18478) @vuule
• Support title-case characters in strings capitalize() and title() APIs (#18457) @davidwendt
• Ensure DataFrame column label operations reset label_dtype (#18452) @mroeschke
• Fix a segfault when reading a Parquet file with unsupported compression type (#18451) @vuule
• Fix logger macros (#18444) @vyasr
• Fix auto-detection of compression type in host-side decompression (#18440) @shrshi
• Use delete not free to release data allocated with new (#18412) @wence-
• Fix synchronization issues in host compression and decompression (#18395) @vuule
• Update Dask array-conversion handling (#18382) @rjzamora
• Fixed indexing on empty DataFrame with no columns (#18381) @TomAugspurger
• Deterministic hashing for DataFrameScan nodes in cudf-polars multi-partition executor (#18351) @TomAugspurger
• Fix index of right table in unary operators in AST, in Joins (#18333) @karthikeyann
• Add offsetalator to contiguous-split (#18312) @davidwendt
• Support large strings in nvtext vocabulary-tokenizer (#18283) @davidwendt
• Handle empty aggregations in multi-partition cudf.polars group_by (#18277) @TomAugspurger

📖 Documentation

• Docs for streaming executor options (#18934) @quasiben
• Fix some duplicate toctree issues and improve groupby docs (#18580) @vyasr
• [DOC] Running libcudf benchmarks and comparing output results (#18548) @Matt711
• Fix doxygen usage of the contraction for it is (#18517) @davidwendt
• Clarify @brief tag as description/title on documentation guide (#18515) @davidwendt
• [DOC] Improve clarity in parquet APIs set_row_groups and set_columns parquet (#18466) @Matt711
• Add a usage page to cudf-polars documentation (#18460) @Matt711
• [DOC] Fix typo in CONTRIBUTING.md on build type tests (#18456) @JigaoLuo
• improve docs related to documentation contribution (#18418) @ncclementi
• Add restart kernel note in cudf pandas docs (#18374) @ncclementi

🚀 New Features

• Add CLI argument to enable RMM async memory resource in PDS-H (#18899) @pentschev
• Scan a headerless CSV file with column names provided (#18816) @Matt711
• Add fast paths for DataFrame.to_cupy (#18801) @Matt711
• Require numba-cuda>=0.11.0 (#18770) @brandon-b-miller
• Create a pylibcudf Column from a python iterable (#18768) @Matt711
• Support ConditianalJoin via broadcasting in cudf-polars streaming engine (#18723) @rjzamora
• Experimental PQ reader utility to calculate total rows in input row groups (#18716) @mhaseeb123
• Extend explain_query to support printing the logical plan (pre lowered plan) (#18708) @Matt711
• Reuse libcudf dependencies for Java JNI build when they are available (#18682) @ttnghia
• Add alloc_size member function to cudf::column and cudf::table (#18639) @davidwendt
• Print the physical cudf-polars plan in pdsh.py (#18635) @rjzamora
• String Transform Examples (#18616) @lamarrr
• Add streaming support for group_by -> n_unique to cudf-polars (#18606) @rjzamora
• Export cudf compiler flags and definitions (#18604) @ttnghia
• Implement BIT_COUNT unary operation (#18589) @ttnghia
• Expose column chunk metadata in read_parquet_metadata() (#18579) @mhaseeb123
• Add APIs to check ORC and Parquet compression support at runtime (#18578) @vuule
• Add Distinct support to the cudf-polars streaming executor (#18576) @rjzamora
• Add support for large list host Arrow data conversion (#18562) @vyasr
• Implement BITWISE_AGG aggregations (bitwise AND, OR and XOR) for sort-based groupby and reduction (#18551) @ttnghia
• Implement row group pruning with bloom filters in experimental PQ reader (#18545) @mhaseeb123
• Implement row group pruning with stats in experimental PQ reader (#18543) @mhaseeb123
• [JNI] Expose row-wise sha1 api (#18540) @warrickhe
• Add Sort + head/tail support to streaming cudf-polars executor (#18538) @rjzamora
• Add multi-partition MapFunction support to cudf-polars (#18523) @rjzamora
• Adds support for writing raw UTF-8 characters (without escaping) in the JSON writer (#18508) @Matt711
• Support reading from device buffers in the pylibcudf IO APIs (#18496) @Matt711
• Support multi-partition Select operations with aggregations (#18492) @rjzamora
• Implemented String Output & User-data Support for Transforms (#18490) @lamarrr
• Add a utility to bulk set multiple null masks (#18489) @mhaseeb123
• High level interface for experimental PQ reader and implementation of metadata APIs (#18480) @mhaseeb123
• Added pylibcudf.utilities.is_ptds_enabled (#18467) @TomAugspurger
• Add a public API for copying a table_view to device array (#18450) @Matt711
• Support cudf-polars cast_time_unit (#18442) @brandon-b-miller
• Support creating a pylibcudf Column from a host array (#18425) @Matt711
• Move parquet schema types and structs to public headers (#18424) @mhaseeb123
• Add optional dtype argument to Scalar.from_any (#18415) @Matt711
• Expose cudf::chunked_pack in pylibcudf (#18411) @wence-
• Add support for long string columns in cudf::contiguous_split (#18393) @nvdbaranec
• Implemented String Input support for Transforms and Removed jit::column_device_view (#18378) @lamarrr
• Automatically dispatch between host and device decompression/compression based on the number of buffers (#18363) @vuule
• Expose join hash table load factor (#18361) @PointKernel
• Skip decoding of pages marked as pruned in PQ reader (#18347) @mhaseeb123
• Sort-based inner join for high-multiplic...

v25.04.00

🚨 Breaking Changes

• Remove unused group_range_rolling_window API (#18313) @wence-
• [BUG] Disabled JIT for CUDA Runtime < 11.5 (#18296) @lamarrr
• Remove cudf.Scalar from binops (#18240) @mroeschke
• Enforce deprecation of dtype parameter in sum/product (#18070) @mroeschke
• Remove deprecated single component datetime extract APIs (#18010) @Matt711
• Remove deprecated rolling window functionality (#17993) @wence-
• Remove deprecated nvtext::minhash_permuted APIs (#17939) @davidwendt
• Remove dataframe protocol (#17909) @vyasr
• Use new rapids-logger library (#17899) @vyasr
• Added Multi-input & Scalar Support for Transform UDFs (#17881) @lamarrr
• Fixed incorrect PTX parsing of ret instruction after branch label (#17859) @lamarrr
• Use KvikIO to enable file's fast host read and host write (#17764) @kingcrimsontianyu

🐛 Bug Fixes

• Fix alpha versions of cudf package. (#18429) @bdice
• Backport: Deterministic hashing for DataFrameScan nodes in cudf-polars multi-partition executor (#18351) (#18420) @bdice
• Skip failing Narwhals rolling groupy tests (#18398) @Matt711
• Pin cmake in test_java to be less than 4.0.0 (#18392) @abellina
• Skip polars tests that fail with pydantic deprecation warnings (#18388) @Matt711
• Backport: Fix index of right table in unary operators in AST, in Joins (#18342) @bdice
• xfail narwhals sqlframe tests (#18297) @Matt711
• [BUG] Disabled JIT for CUDA Runtime < 11.5 (#18296) @lamarrr
• Make a pylibcudf Column from a device array object with strides=None (#18295) @Matt711
• Fix cudf.pandas objects to not be Callable (#18288) @galipremsagar
• Skip failing polars test test_general_prefiltering (#18264) @Matt711
• Filter all cudf.pandas profiler tests from running in parallel (#18262) @Matt711
• Allow cudf.Series([pd.NA], dtype=, nan_as_null=False) (#18259) @mroeschke
• Fix cross join with extra columns (#18256) @galipremsagar
• Fix Dataframe.loc to not modify the actual dataframe (#18254) @galipremsagar
• Remove RMM macro usage from to_arrow_device.cu (#18252) @davidwendt
• Skip Narwhals cross join tests for cudf.pandas CI run (#18249) @Matt711
• Fix cudf-polars tests for polars < 1.24 (#18246) @wence-
• Fix experimental cudf-polars tests (#18244) @rjzamora
• Fix datetime64 vs datetime binops max resolution (#18241) @galipremsagar
• Use CCCL::libcudacxx include directories in Jitify preprocessing. (#18233) @bdice
• Disable conda prefix patching to avoid mangling binaries (#18225) @vyasr
• Workaround for ARM compiler issue with single space literal string (#18220) @davidwendt
• Bump nightly check limit (#18213) @Matt711
• Support comparitive binops between catgorical and non categorical (#18200) @mroeschke
• Make the version file inside cudf.pandas not a symlink (#18198) @vyasr
• Ensure RAPIDS_ARTIFACTS_DIR is set for build metrics reports. (#18192) @bdice
• Ignore run exports of libcufile. (#18190) @bdice
• Skip flaky multi GPU test (#18187) @Matt711
• Fix BPE merges table static-map capacity size (#18184) @davidwendt
• Drop CUB_QUOTIENT_CEILING (#18179) @miscco
• Disable ARM CI in C++ and Python test CI jobs (#18175) @Matt711
• Add fmt to the test/benchmarks env (#18173) @vyasr
• Fix merge(how=left, left_on=, right_index=True, sort=True) (#18166) @mroeschke
• Allow nonnative cupy dtype in cudf.Series (#18164) @mroeschke
• Fix Series construction from numpy array with non-native byte order (#18151) @mroeschke
• Use protocol for dlpack instead of deprecated function in cupy notebook (#18147) @Matt711
• Skip failing test (#18146) @vyasr
• Update calls to KvikIO's config setter (#18144) @kingcrimsontianyu
• Reduce memory use when writing tables with very short columns to ORC (#18136) @vuule
• Handle empty dictionary in to_arrow_device interop (#18121) @davidwendt
• Allow pivot_table to accept single label index and column arguments (#18115) @mroeschke
• Preserve DataFrame.column subclass and type during binop (#18113) @mroeschke
• Fix rmm macro call (#18108) @pmattione-nvidia
• Add include for <functional> (#18102) @miscco
• Remove static column vectors from window function tests. (#18099) @mythrocks
• Fix scatter_by_map with spilling enabled (#18095) @mroeschke
• Use the right version macro CCCL_MAJOR_VERSION (#18073) @miscco
• Fix test_scan_csv_multi cudf-polars test (#18064) @rjzamora
• Fix memcopy direction for concatenate (#18058) @tgujar
• Fix upstream dask loc test (#18045) @rjzamora
• Fix hang on invalid UTF-8 data in string_view iterator (#18039) @davidwendt
• Fix dask_cudf.to_orc deprecation (#18038) @rjzamora
• Compatibility with dask.dataframe's is_scalar (#18030) @TomAugspurger
• Fix the build error due to KvikIO update (#18025) @kingcrimsontianyu
• Fix failing ibis test (#18022) @Matt711
• Skip failing polars tests (#18015) @Matt711
• Fix to_arrow to return consistent pandas-metadata (#18009) @galipremsagar
• Prevent setting custom attributes to ColumnMethods (#18005) @galipremsagar
• Compatibility with Dask main (#17992) @TomAugspurger
• [Bug] Fix Parquet-metadata sampling in cudf-polars (#17991) @rjzamora
• Add missing include for calling std::iota() (#17983) @davidwendt
• Fix pickle and unpickling for all objects (#17980) @galipremsagar
• Install duckdb the default backend for ibis in the cudf.pandas integration tests (#17972) @Matt711
• Check null count too in sum aggregation (#17964) @Matt711
• Raise NotImplementedError for groupby.agg if duplicate columns would be created (#17956) @mroeschke
• Ensure disabling the module accelerator is thread-safe (#17955) @vyasr
• Fix DataFrame/Series.rank for int and null data in mode.pandas_compatible (#17954) @mroeschke
• Limit buffer size in reallocation policy in JSON reader (#17940) @shrshi
• Make cudf.pandas proxy array picklable (#17929) @Matt711
• Add missing standard includes (#17928) @miscco
• Fix torch integration test (#17923) @Matt711
• Fix to_pandas writable bug for datetime and timedelta types (#17913) @galipremsagar
• Raise NotImplementedError if .merge(suffixes=) introduces duplicate labels (#17905) @mroeschke
• Fix groupby scans with int and NA data in mode.pandas_compatible (#17895) @mroeschke
• Patch __init__ of cudf constructors to parse through cudf.pandas proxy objects (#17878) @galipremsagar
• Fixed incorrect PTX parsing of ret instruction after branch label (#17859) @lamarrr
• Relax inconsistent schema handling in dask_cudf.read_parquet (#17554) @rjzamora

📖 Documentation

• Clarify that cudf.pandas should be enabled before importing pandas. (#18339) @bdice
• [DOC] Add wordpiece tokenizer to cudf documentation (#18247) @davidwendt
• Added pylibcudf.contiguous_split to API docs (#18194) @TomAugspurger
• Fix build.sh docs for default behavior (#18180) @bdice
• Update Dask-cuDF documentation to fix all warnings and errors (#18157) @TomAugspurger
• [DOC] Document character normalizer (#18125) @Matt711

🚀 New Features

• Add and revise experimental cudf-polars config options (#18284) @rjzamora
• Support top-k and bottom_k expressions (#18222) @Matt711
• Support cudf-polars is_leap_year (#18212) @brandon-b-miller
• Support cudf-polars month_start/month_end (#18211) @brandon-b-miller
• Support cudf-polars ordinal_day (#18152) @brandon-b-miller
• Add pylibcudf.gpumemoryview support for len()/nbytes (#18133) @pentschev
• Link to libzstd for ZSTD compression and decompression APIs (#18129) @shrshi
• Added NDSH Q09 Benchmark for Transforms (#18127) @lamarrr
• Make pylibcudf traits raise exceptions gracefully rather than terminating in C++ (#18117) @Matt711
• Host decompression (#18114) @vuule
• Add owning types to hold Arrow data (#18084) @vyasr
• Bump polars version to <1.24 (#18076) @Matt711
• Support sorted merges in cudf.polars (#18075) @Matt711
• Add a slice expression to polars IR (#18050) @Matt711
• Expose num_rows_per_source (IO metadata) to pylibcudf (#18049) @Matt711
• Added Imbalanced Tree Benchmarks for Transforms (#18032) @lamarrr
• Run the narwhals test suite with cudf.pandas (#18031) @Matt711
• Add host_read_async interfaces to datasource (#18018) @vuule
• Make most cudf-polars Node objects pickleable (#17998) @rjzamora
• Add Column.serialize to cudf-polars (#17990) @rjzamora
• Bump polars version to <1.23 (#17986) @Matt711
• Implemented Decimal Transforms (#17968) @lamarrr
• Introduce ZSTD host-side compression and decompression APIs (#17935) @shrshi
• Add catboost integration tests (#17931) @Matt711
• [FEA] Expose stripe_size_rows setting for ORCWriterOptions (#17927) @ustcfy
• Test narwhals in CI (#17884) @bdice
• Added Multi-input & Scalar Support for Transform UDFs (#17881) @lamarrr
• Host Snappy compression (#17824) @vuule
• Run spark-rapids-jni CI (#17781) @KyleFromNVIDIA
• Add multi-partition Shuffle operation to cuDF Polars (#17744) @rjzamora
• Added polynomials benchmark (#17695) @lamarrr
• Add stream parameters in pylibcudf IO APIs (#17620) @Matt711
• New nvtext::wordpiece_tokenizer APIs (#17600) @davidwendt
• Add support for unary negation operator (#17560) @Matt711
• Add multi-partition Join support to cuDF-Polars (#17518) @rjzamora
• Add basic multi-partition GroupBy support to cuDF-Polars (#17503) @rjzamora
• Support Distributed in cudf-polars tests and IR evaluation (#17364) @pentschev

🛠️ Improvements

• Use pyarrow 15 in oldest dependency CI jobs (#18409) @bdice
• Bump librdkafka to 2.8.0 (#18370) @raydouglass
• fix(rattler): ignore libzlib run dependency to avoid pandoc collision (#18368) @gforsyth
• Fix zstd build interface include definition (#18366) @trxcllnt
• test: Install pytest-env and hypothesis in test_narwhals.sh (#18337) @MarcoGorelli
• Remove unused group_range_rolling_window API (#18313) @wence-
• Cache column view creation from arrow types (#18302) @vyasr
• Split Narwhals cudf.pandas tests failures into to fix and to skip (#18267) @mroeschke
• Support BinOp, min, and max Aggregations in cudf-polars parallel ...

v25.02.02

🚨 Breaking Changes

• Expose stream-ordering in scalar and avro APIs (#17766) @shrshi
• Add seed parameter to hash_character_ngrams (#17643) @davidwendt
• Performance improvements and simplifications for fixed size row-based rolling windows (#17623) @wence-
• Refactor distinct hash join to handle multiple probes with the same build table (#17609) @PointKernel
• Deprecate cudf::grouped_time_range_rolling_window (#17589) @wence-
• Remove "legacy" Dask DataFrame support from Dask cuDF (#17558) @rjzamora
• Return empty result for segmented_reduce if input and offsets are both empty (#17437) @davidwendt
• Rework minhash APIs for deprecation cycle (#17421) @davidwendt
• Change indices for dictionary column to signed integer type (#17390) @davidwendt

🐛 Bug Fixes

• Use protocol for dlpack instead of deprecated function (#18134) @vyasr
• Skip the failing connectorx polars tests (#18037) @Matt711
• Fix 'Unexpected short subpass' exception in parquet chunked reader. (#18019) @nvdbaranec
• Fix race check failures in shared memory groupby (#17985) @PointKernel
• Pin ibis version in the cudf.pandas integration tests <10.0.0 (#17975) @Matt711
• Fix the index type in the indexing operator of the span types (#17971) @vuule
• Add missing pin (#17915) @vyasr
• Fix third-party cudf.pandas tests (#17900) @galipremsagar
• Fix numpy data access by making attribute private (#17890) @galipremsagar
• Remove extra local var declaration from cudf.pandas 3rd-party integration shell script (#17886) @Matt711
• Move isinstance_cudf_pandas to fast_slow_proxy (#17875) @galipremsagar
• Make _Series_dtype method a property (#17854) @Matt711
• Fix the bug in determining the heuristics for shared memory groupby (#17851) @PointKernel
• Fix possible OOB mem access in Parquet decoder (#17841) @mhaseeb123
• Require batches to be non-empty in multi-batch JSON reader (#17837) @shrshi
• Fix rolling(min_periods=) with int and null data with mode.pandas_compat (#17822) @mroeschke
• Resolve race-condition in disable_module_accelerator (#17811) @galipremsagar
• Make Series(dtype=object) raise in mode.pandas_compat with non string data (#17804) @mroeschke
• Disable intended disabled ORC tests (#17790) @davidwendt
• Fix empty DataFrame construction not returning RangeIndex columns (#17784) @mroeschke
• Fix various .str methods for pandas compatability (#17782) @mroeschke
• Fix count API issue about ignoring nan values (#17779) @galipremsagar
• Add numba pinning to cudf repo (#17777) @galipremsagar
• Allow .sort_values(na_position=) to include NaNs in mode.pandas_compatible (#17776) @mroeschke
• allow deselecting nvcomp wheels (#17774) @jameslamb
• Use the aligned_resource_adaptor to allocate bloom filter device buffers (#17758) @mhaseeb123
• Avoid instantiating bloom filter query function for nested and bool types (#17753) @mhaseeb123
• Fix DataFrame.merge(Series, how="left"/"right") on column and index not resulting in a RangeIndex (#17739) @mroeschke
• [BUG] xfail Polars excel test (#17731) @Matt711
• Require to implement AutoCloseable for the classes derived from HostUDFWrapper (#17727) @ttnghia
• Remove jlowe as a java committer since he retired (#17725) @tgravescs
• Prevent use of invalid grid sizes in ORC reader and writer (#17709) @vuule
• Enforce schema for partial tables in multi-source multi-batch JSON reader (#17708) @shrshi
• Compute and use the initial string offset when building nested large string cols with chunked parquet reader (#17702) @mhaseeb123
• Fix writing of compressed ORC files with large stripe footers (#17700) @vuule
• Fix cudf.polars sum of empty not equalling zero (#17685) @mroeschke
• Fix formatting in logging (#17680) @vuule
• convert all nulls to nans in a specific scenario (#17677) @galipremsagar
• Define cudf repr methods on the Column (#17675) @mroeschke
• Fix groupby.len with null values in cudf.polars (#17671) @mroeschke
• Fix: DataFrameGroupBy.get_group was raising with length>1 tuples (#17653) @MarcoGorelli
• Fix possible int overflow in compute_mixed_join_output_size (#17633) @davidwendt
• Fix a minor potential i32 overflow in thrust::transform_exclusive_scan in PQ reader preprocessing (#17617) @mhaseeb123
• Fix failing xgboost test in the cudf.pandas third-party integration tests (#17616) @Matt711
• Fix dask_cudf.read_csv (#17612) @rjzamora
• Fix memcheck error in ReplaceTest.NormalizeNansAndZerosMutable gtest (#17610) @davidwendt
• Correctly accept a pandas.CategoricalDtype(pandas.IntervalDtype(...), ...) type (#17604) @mroeschke
• Add ability to modify and propagate names of columns object (#17597) @galipremsagar
• Ignore NaN correctly in .quantile (#17593) @mroeschke
• Fix groupby argmin/max gather of sorted-order indices (#17591) @davidwendt
• Fix ctest fail running libcudf tests in a Debug build (#17576) @davidwendt
• Specify a version for rapids_logger dependency (#17573) @jlowe
• Fix the ORC decoding bug for the timestamp data (#17570) @kingcrimsontianyu
• [JNI] remove rmm argument to set rw access for fabric handles (#17553) @abellina
• Document undefined behavior in div_rounding_up_safe (#17542) @davidwendt
• Fix nvcc-imposed UB in constexpr functions (#17534) @vuule
• Add anonymous namespace to libcudf test source (#17529) @davidwendt
• Propagate failures in pandas integration tests and Skip failing tests (#17521) @Matt711
• Fix libcudf compile error when logging is disabled (#17512) @davidwendt
• Fix Dask-cuDF clip APIs (#17509) @rjzamora
• Fix pylibcudf to_arrow with multiple nested data types (#17504) @mroeschke
• Fix groupby(as_index=False).size not reseting index (#17499) @mroeschke
• Revert "Temporarily skip tests due to dask/distributed#8953" (#17492) @Matt711
• Workaround for a misaligned access in read_csv on some CUDA versions (#17477) @vuule
• Fix some possible thread-id overflow calculations (#17473) @davidwendt
• Temporarily skip tests due to dask/distributed#8953 (#17472) @wence-
• Detect mismatches in begin and end tokens returned by JSON tokenizer FST (#17471) @shrshi
• Support dask>=2024.11.2 in Dask cuDF (#17439) @rjzamora
• Fix write_json failure for zero columns in table/struct (#17414) @karthikeyann
• Fix Debug-mode failing Arrow test (#17405) @zeroshade
• Fix all null list column with missing child column in JSON reader (#17348) @karthikeyann

📖 Documentation

• Fix forward merge 24.12->25.02 (#18002) @raydouglass
• Fix incorrect example in pylibcudf docs (#17912) @Matt711
• Explicitly call out that the GPU open beta runs on a single GPU (#17872) @taureandyernv
• Update cudf.pandas colab link in docs (#17846) @taureandyernv
• [DOC] Make pylibcudf docs more visible (#17803) @Matt711
• Cross-link cudf.pandas profiler documentation. (#17668) @bdice
• Document interpreter install command for cudf.pandas (#17358) @bdice
• add comment to Series.tolist method (#17350) @tequilayu

🚀 New Features

• Bump polars version to <1.22 (#17771) @Matt711
• Make more constexpr available on device for cuIO (#17746) @PointKernel
• Add public interop functions between pylibcudf and cudf classic (#17730) @Matt711
• Support dask_expr migration into dask.dataframe (#17704) @rjzamora
• Make tests build without relaxed constexpr (#17691) @PointKernel
• Set default logger level to warn (#17684) @vyasr
• Support multithreaded reading of compressed buffers in JSON reader (#17670) @shrshi
• Control pinned memory use with environment variables (#17657) @vuule
• Host compression (#17656) @vuule
• Enable text build without relying on relaxed constexpr (#17647) @PointKernel
• Implement HOST_UDF aggregation for reduction and segmented reduction (#17645) @ttnghia
• Add JSON reader options structs to pylibcudf (#17614) @Matt711
• Refactor distinct hash join to handle multiple probes with the same build table (#17609) @PointKernel
• Add JSON Writer options classes to pylibcudf (#17606) @Matt711
• Add ORC reader options structs to pylibcudf (#17601) @Matt711
• Add Avro Reader options classes to pylibcudf (#17599) @Matt711
• Enable binaryop build without relying on relaxed constexpr (#17598) @PointKernel
• Measure the number of Parquet row groups filtered by predicate pushdown (#17594) @mhaseeb123
• Implement HOST_UDF aggregation for groupby (#17592) @ttnghia
• Plumb pylibcudf.io.parquet options classes through cudf python (#17506) @Matt711
• Add partition-wise Select support to cuDF-Polars (#17495) @rjzamora
• Add multi-partition Scan support to cuDF-Polars (#17494) @rjzamora
• Migrate cudf::io::merge_row_group_metadata to pylibcudf (#17491) @Matt711
• Add Parquet Reader options classes to pylibcudf (#17464) @Matt711
• Add multi-partition DataFrameScan support to cuDF-Polars (#17441) @rjzamora
• Return empty result for segmented_reduce if input and offsets are both empty (#17437) @davidwendt
• Abstract polars function expression nodes to ensure they are serializable (#17418) @pentschev
• Add CSV Reader options classes to pylibcudf (#17412) @Matt711
• Add support for pylibcudf.DataType serialization (#17352) @pentschev
• Enable rounding for Decimal32 and Decimal64 in cuDF (#17332) @a-hirota
• Remove upper bounds on cuda-python to allow 12.6.2 and 11.8.5 (#17326) @bdice
• Expose stream-ordering to groupby APIs (#17324) @shrshi
• Migrate ORC Writer to pylibcudf (#17310) @Matt711
• Support reading bloom filters from Parquet files and filter row groups using them (#17289) @mhaseeb123

🛠️ Improvements

• Update to nvcomp 4.2.0.11 (#18042) @bdice
• Remove pandas backend from cudf.pandas - ibis integration tests (#17945) @Matt711
• Revert CUDA 12.8 shared workflow branch changes (#17879) @vyasr
• Remove predicate param from DataFrameScan IR (#17852) @Matt711
• Remove cudf.Scalar from scatter APIs (#17847) @mroeschke
• Remove cudf.Scalar from interval_range (#17844) @mroeschke
• Add verify-codeowners hook (#17840) @KyleFromNVIDIA
• Build and test with CUDA 12.8.0 (#17834) @bdice
• In...

v25.02.01

🚨 Breaking Changes

• Expose stream-ordering in scalar and avro APIs (#17766) @shrshi
• Add seed parameter to hash_character_ngrams (#17643) @davidwendt
• Performance improvements and simplifications for fixed size row-based rolling windows (#17623) @wence-
• Refactor distinct hash join to handle multiple probes with the same build table (#17609) @PointKernel
• Deprecate cudf::grouped_time_range_rolling_window (#17589) @wence-
• Remove "legacy" Dask DataFrame support from Dask cuDF (#17558) @rjzamora
• Return empty result for segmented_reduce if input and offsets are both empty (#17437) @davidwendt
• Rework minhash APIs for deprecation cycle (#17421) @davidwendt
• Change indices for dictionary column to signed integer type (#17390) @davidwendt

🐛 Bug Fixes

• Skip the failing connectorx polars tests (#18037) @Matt711
• Fix 'Unexpected short subpass' exception in parquet chunked reader. (#18019) @nvdbaranec
• Fix race check failures in shared memory groupby (#17985) @PointKernel
• Pin ibis version in the cudf.pandas integration tests <10.0.0 (#17975) @Matt711
• Fix the index type in the indexing operator of the span types (#17971) @vuule
• Add missing pin (#17915) @vyasr
• Fix third-party cudf.pandas tests (#17900) @galipremsagar
• Fix numpy data access by making attribute private (#17890) @galipremsagar
• Remove extra local var declaration from cudf.pandas 3rd-party integration shell script (#17886) @Matt711
• Move isinstance_cudf_pandas to fast_slow_proxy (#17875) @galipremsagar
• Make _Series_dtype method a property (#17854) @Matt711
• Fix the bug in determining the heuristics for shared memory groupby (#17851) @PointKernel
• Fix possible OOB mem access in Parquet decoder (#17841) @mhaseeb123
• Require batches to be non-empty in multi-batch JSON reader (#17837) @shrshi
• Fix rolling(min_periods=) with int and null data with mode.pandas_compat (#17822) @mroeschke
• Resolve race-condition in disable_module_accelerator (#17811) @galipremsagar
• Make Series(dtype=object) raise in mode.pandas_compat with non string data (#17804) @mroeschke
• Disable intended disabled ORC tests (#17790) @davidwendt
• Fix empty DataFrame construction not returning RangeIndex columns (#17784) @mroeschke
• Fix various .str methods for pandas compatability (#17782) @mroeschke
• Fix count API issue about ignoring nan values (#17779) @galipremsagar
• Add numba pinning to cudf repo (#17777) @galipremsagar
• Allow .sort_values(na_position=) to include NaNs in mode.pandas_compatible (#17776) @mroeschke
• allow deselecting nvcomp wheels (#17774) @jameslamb
• Use the aligned_resource_adaptor to allocate bloom filter device buffers (#17758) @mhaseeb123
• Avoid instantiating bloom filter query function for nested and bool types (#17753) @mhaseeb123
• Fix DataFrame.merge(Series, how="left"/"right") on column and index not resulting in a RangeIndex (#17739) @mroeschke
• [BUG] xfail Polars excel test (#17731) @Matt711
• Require to implement AutoCloseable for the classes derived from HostUDFWrapper (#17727) @ttnghia
• Remove jlowe as a java committer since he retired (#17725) @tgravescs
• Prevent use of invalid grid sizes in ORC reader and writer (#17709) @vuule
• Enforce schema for partial tables in multi-source multi-batch JSON reader (#17708) @shrshi
• Compute and use the initial string offset when building nested large string cols with chunked parquet reader (#17702) @mhaseeb123
• Fix writing of compressed ORC files with large stripe footers (#17700) @vuule
• Fix cudf.polars sum of empty not equalling zero (#17685) @mroeschke
• Fix formatting in logging (#17680) @vuule
• convert all nulls to nans in a specific scenario (#17677) @galipremsagar
• Define cudf repr methods on the Column (#17675) @mroeschke
• Fix groupby.len with null values in cudf.polars (#17671) @mroeschke
• Fix: DataFrameGroupBy.get_group was raising with length>1 tuples (#17653) @MarcoGorelli
• Fix possible int overflow in compute_mixed_join_output_size (#17633) @davidwendt
• Fix a minor potential i32 overflow in thrust::transform_exclusive_scan in PQ reader preprocessing (#17617) @mhaseeb123
• Fix failing xgboost test in the cudf.pandas third-party integration tests (#17616) @Matt711
• Fix dask_cudf.read_csv (#17612) @rjzamora
• Fix memcheck error in ReplaceTest.NormalizeNansAndZerosMutable gtest (#17610) @davidwendt
• Correctly accept a pandas.CategoricalDtype(pandas.IntervalDtype(...), ...) type (#17604) @mroeschke
• Add ability to modify and propagate names of columns object (#17597) @galipremsagar
• Ignore NaN correctly in .quantile (#17593) @mroeschke
• Fix groupby argmin/max gather of sorted-order indices (#17591) @davidwendt
• Fix ctest fail running libcudf tests in a Debug build (#17576) @davidwendt
• Specify a version for rapids_logger dependency (#17573) @jlowe
• Fix the ORC decoding bug for the timestamp data (#17570) @kingcrimsontianyu
• [JNI] remove rmm argument to set rw access for fabric handles (#17553) @abellina
• Document undefined behavior in div_rounding_up_safe (#17542) @davidwendt
• Fix nvcc-imposed UB in constexpr functions (#17534) @vuule
• Add anonymous namespace to libcudf test source (#17529) @davidwendt
• Propagate failures in pandas integration tests and Skip failing tests (#17521) @Matt711
• Fix libcudf compile error when logging is disabled (#17512) @davidwendt
• Fix Dask-cuDF clip APIs (#17509) @rjzamora
• Fix pylibcudf to_arrow with multiple nested data types (#17504) @mroeschke
• Fix groupby(as_index=False).size not reseting index (#17499) @mroeschke
• Revert "Temporarily skip tests due to dask/distributed#8953" (#17492) @Matt711
• Workaround for a misaligned access in read_csv on some CUDA versions (#17477) @vuule
• Fix some possible thread-id overflow calculations (#17473) @davidwendt
• Temporarily skip tests due to dask/distributed#8953 (#17472) @wence-
• Detect mismatches in begin and end tokens returned by JSON tokenizer FST (#17471) @shrshi
• Support dask>=2024.11.2 in Dask cuDF (#17439) @rjzamora
• Fix write_json failure for zero columns in table/struct (#17414) @karthikeyann
• Fix Debug-mode failing Arrow test (#17405) @zeroshade
• Fix all null list column with missing child column in JSON reader (#17348) @karthikeyann

📖 Documentation

• Fix forward merge 24.12->25.02 (#18002) @raydouglass
• Fix incorrect example in pylibcudf docs (#17912) @Matt711
• Explicitly call out that the GPU open beta runs on a single GPU (#17872) @taureandyernv
• Update cudf.pandas colab link in docs (#17846) @taureandyernv
• [DOC] Make pylibcudf docs more visible (#17803) @Matt711
• Cross-link cudf.pandas profiler documentation. (#17668) @bdice
• Document interpreter install command for cudf.pandas (#17358) @bdice
• add comment to Series.tolist method (#17350) @tequilayu

🚀 New Features

• Bump polars version to <1.22 (#17771) @Matt711
• Make more constexpr available on device for cuIO (#17746) @PointKernel
• Add public interop functions between pylibcudf and cudf classic (#17730) @Matt711
• Support dask_expr migration into dask.dataframe (#17704) @rjzamora
• Make tests build without relaxed constexpr (#17691) @PointKernel
• Set default logger level to warn (#17684) @vyasr
• Support multithreaded reading of compressed buffers in JSON reader (#17670) @shrshi
• Control pinned memory use with environment variables (#17657) @vuule
• Host compression (#17656) @vuule
• Enable text build without relying on relaxed constexpr (#17647) @PointKernel
• Implement HOST_UDF aggregation for reduction and segmented reduction (#17645) @ttnghia
• Add JSON reader options structs to pylibcudf (#17614) @Matt711
• Refactor distinct hash join to handle multiple probes with the same build table (#17609) @PointKernel
• Add JSON Writer options classes to pylibcudf (#17606) @Matt711
• Add ORC reader options structs to pylibcudf (#17601) @Matt711
• Add Avro Reader options classes to pylibcudf (#17599) @Matt711
• Enable binaryop build without relying on relaxed constexpr (#17598) @PointKernel
• Measure the number of Parquet row groups filtered by predicate pushdown (#17594) @mhaseeb123
• Implement HOST_UDF aggregation for groupby (#17592) @ttnghia
• Plumb pylibcudf.io.parquet options classes through cudf python (#17506) @Matt711
• Add partition-wise Select support to cuDF-Polars (#17495) @rjzamora
• Add multi-partition Scan support to cuDF-Polars (#17494) @rjzamora
• Migrate cudf::io::merge_row_group_metadata to pylibcudf (#17491) @Matt711
• Add Parquet Reader options classes to pylibcudf (#17464) @Matt711
• Add multi-partition DataFrameScan support to cuDF-Polars (#17441) @rjzamora
• Return empty result for segmented_reduce if input and offsets are both empty (#17437) @davidwendt
• Abstract polars function expression nodes to ensure they are serializable (#17418) @pentschev
• Add CSV Reader options classes to pylibcudf (#17412) @Matt711
• Add support for pylibcudf.DataType serialization (#17352) @pentschev
• Enable rounding for Decimal32 and Decimal64 in cuDF (#17332) @a-hirota
• Remove upper bounds on cuda-python to allow 12.6.2 and 11.8.5 (#17326) @bdice
• Expose stream-ordering to groupby APIs (#17324) @shrshi
• Migrate ORC Writer to pylibcudf (#17310) @Matt711
• Support reading bloom filters from Parquet files and filter row groups using them (#17289) @mhaseeb123

🛠️ Improvements

• Update to nvcomp 4.2.0.11 (#18042) @bdice
• Remove pandas backend from cudf.pandas - ibis integration tests (#17945) @Matt711
• Revert CUDA 12.8 shared workflow branch changes (#17879) @vyasr
• Remove predicate param from DataFrameScan IR (#17852) @Matt711
• Remove cudf.Scalar from scatter APIs (#17847) @mroeschke
• Remove cudf.Scalar from interval_range (#17844) @mroeschke
• Add verify-codeowners hook (#17840) @KyleFromNVIDIA
• Build and test with CUDA 12.8.0 (#17834) @bdice
• Increase timeout for recently added test (#17829) @galipremsagar
• Apply ru...

v24.12.00

🚨 Breaking Changes

• Fix reading Parquet string cols when nrows and input_pass_limit > 0 (#17321) @mhaseeb123
• prefer wheel-provided libcudf.so in load_library(), use RTLD_LOCAL (#17316) @jameslamb
• Deprecate single component extraction methods in libcudf (#17221) @Matt711
• Move detail header floating_conversion.hpp to detail subdirectory (#17209) @davidwendt
• Refactor Dask cuDF legacy code (#17205) @rjzamora
• Make HostMemoryBuffer call into the DefaultHostMemoryAllocator (#17204) @revans2
• Remove java reservation (#17189) @revans2
• Separate evaluation logic from IR objects in cudf-polars (#17175) @rjzamora
• Upgrade to polars 1.11 in cudf-polars (#17154) @wence-
• Remove the additional host register calls initially intended for performance improvement on Grace Hopper (#17092) @kingcrimsontianyu
• Correctly set is_device_accesible when creating host_spans from other container/span types (#17079) @vuule
• Unify treatment of Expr and IR nodes in cudf-polars DSL (#17016) @wence-
• Deprecate support for directly accessing logger (#16964) @vyasr
• Made cudftestutil header-only and removed GTest dependency (#16839) @lamarrr

🐛 Bug Fixes

• Turn off cudf.pandas 3rd party integrations tests for 24.12 (#17500) @Matt711
• Ignore errors when testing glibc versions (#17389) @vyasr
• Adapt to KvikIO API change in the compatibility mode (#17377) @kingcrimsontianyu
• Support pivot with index or column arguments as lists (#17373) @mroeschke
• Deselect failing polars tests (#17362) @pentschev
• Fix integer overflow in compiled binaryop (#17354) @wence-
• Update cmake to 3.28.6 in JNI Dockerfile (#17342) @jlowe
• fix library-loading issues in editable installs (#17338) @jameslamb
• Bug fix: restrict lines=True to JSON format in Kafka read_gdf method (#17333) @a-hirota
• Fix various issues with replace API and add support in datetime and timedelta columns (#17331) @galipremsagar
• Do not exclude nanoarrow and flatbuffers from installation if statically linked (#17322) @hyperbolic2346
• Fix reading Parquet string cols when nrows and input_pass_limit > 0 (#17321) @mhaseeb123
• Remove another reference to FindcuFile (#17315) @KyleFromNVIDIA
• Fix reading of single-row unterminated CSV files (#17305) @vuule
• Fixed lifetime issue in ast transform tests (#17292) @lamarrr
• Switch to using TaskSpec (#17285) @galipremsagar
• Fix data_type ctor call in JSON_TEST (#17273) @davidwendt
• Expose delimiter character in JSON reader options to JSON reader APIs (#17266) @shrshi
• Fix extract-datetime deprecation warning in ndsh benchmark (#17254) @davidwendt
• Disallow cuda-python 12.6.1 and 11.8.4 (#17253) @bdice
• Wrap custom iterator result (#17251) @galipremsagar
• Fix binop with LHS numpy datetimelike scalar (#17226) @mroeschke
• Fix Dataframe.__setitem__ slow-downs (#17222) @galipremsagar
• Fix groupby.get_group with length-1 tuple with list-like grouper (#17216) @mroeschke
• Fix discoverability of submodules inside pd.util (#17215) @galipremsagar
• Fix Schema.Builder does not propagate precision value to Builder instance (#17214) @ttnghia
• Mark column chunks in a PQ reader pass as large strings when the cumulative offsets exceeds the large strings threshold. (#17207) @mhaseeb123
• [BUG] Replace repo_token with github_token in Auto Assign PR GHA (#17203) @Matt711
• Remove unsanitized nulls from input strings columns in reduction gtests (#17202) @davidwendt
• Fix to_parquet append behavior with global metadata file (#17198) @rjzamora
• Check num_children() == 0 in Column.from_column_view (#17193) @cwharris
• Fix host-to-device copy missing sync in strings/duration convert (#17149) @davidwendt
• Add JNI Support for Multi-line Delimiters and Include Test (#17139) @SurajAralihalli
• Ignore loud dask warnings about legacy dataframe implementation (#17137) @galipremsagar
• Fix the GDS read/write segfault/bus error when the cuFile policy is set to GDS or ALWAYS (#17122) @kingcrimsontianyu
• Fix DataFrame._from_arrays and introduce validations (#17112) @galipremsagar
• [Bug] Fix Arrow-FS parquet reader for larger files (#17099) @rjzamora
• Fix bug in recovering invalid lines in JSONL inputs (#17098) @shrshi
• Reenable huge pages for arrow host copying (#17097) @vyasr
• Correctly set is_device_accesible when creating host_spans from other container/span types (#17079) @vuule
• Fix ORC reader when using device_read_async while the destination device buffers are not ready (#17074) @ttnghia
• Fix regex handling of fixed quantifier with 0 range (#17067) @davidwendt
• Limit the number of keys to calculate column sizes and page starts in PQ reader to 1B (#17059) @mhaseeb123
• Adding assertion to check for regular JSON inputs of size greater than INT_MAX bytes (#17057) @shrshi
• bug fix: use self.ck_consumer in poll method of kafka.py to align with __init__ (#17044) @a-hirota
• Disable kvikio remote I/O to avoid openssl dependencies in JNI build (#17026) @pxLi
• Fix host_span constructor to correctly copy is_device_accessible (#17020) @vuule
• Add pinning for pyarrow in wheels (#17018) @vyasr
• Use std::optional for host types (#17015) @robertmaynard
• Fix write_json to handle empty string column (#16995) @karthikeyann
• Restore export of nvcomp outside of wheel builds (#16988) @KyleFromNVIDIA
• Allow melt(var_name=) to be a falsy label (#16981) @mroeschke
• Fix astype from tz-aware type to tz-aware type (#16980) @mroeschke
• Use libcudf wheel from PR rather than nightly for polars-polars CI test job (#16975) @brandon-b-miller
• Fix order-preservation in pandas-compat unsorted groupby (#16942) @wence-
• Fix cudf::strings::findall error with empty input (#16928) @davidwendt
• Fix JsonLargeReaderTest.MultiBatch use of LIBCUDF_JSON_BATCH_SIZE env var (#16927) @davidwendt
• Parse newline as whitespace character while tokenizing JSONL inputs with non-newline delimiter (#16923) @shrshi
• Respect groupby.nunique(dropna=False) (#16921) @mroeschke
• Update all rmm imports to use pylibrmm/librmm (#16913) @Matt711
• Fix order-preservation in cudf-polars groupby (#16907) @wence-
• Add a shortcut for when the input clusters are all empty for the tdigest merge (#16897) @jihoonson
• Properly handle the mapped and registered regions in memory_mapped_source (#16865) @vuule
• Fix performance regression for generate_character_ngrams (#16849) @davidwendt
• Fix regex parsing logic handling of nested quantifiers (#16798) @davidwendt
• Compute whole column variance using numerically stable approach (#16448) @wence-

📖 Documentation

• Add documentation for low memory readers (#17314) @btepera
• Fix the example in documentation for get_dremel_data() (#17242) @mhaseeb123
• Fix some documentation rendering for pylibcudf (#17217) @mroeschke
• Move detail header floating_conversion.hpp to detail subdirectory (#17209) @davidwendt
• Add TokenizeVocabulary to api docs (#17208) @davidwendt
• Add jaccard_index to generated cuDF docs (#17199) @davidwendt
• [no ci] Add empty-columns section to the libcudf developer guide (#17183) @davidwendt
• Add 2-cpp approvers text to contributing guide [no ci] (#17182) @davidwendt
• Changing developer guide int_64_t to int64_t (#17130) @hyperbolic2346
• docs: change 'CSV' to 'csv' in python/custreamz/README.md to match kafka.py (#17041) @a-hirota
• [DOC] Document limitation using cudf.pandas proxy arrays (#16955) @Matt711
• [DOC] Document environment variable for failing on fallback in cudf.pandas (#16932) @Matt711

🚀 New Features

• Add version config (#17312) @vyasr
• Java JNI for Multiple contains (#17281) @res-life
• Add cudf::calendrical_month_sequence to pylibcudf (#17277) @Matt711
• Raise errors on specific types of fallback in cudf.pandas (#17268) @Matt711
• Add catboost to the third-party integration tests (#17267) @Matt711
• Add type stubs for pylibcudf (#17258) @wence-
• Use pylibcudf contiguous split APIs in cudf python (#17246) @Matt711
• Upgrade nvcomp to 4.1.0.6 (#17201) @bdice
• Added Arrow Interop Benchmarks (#17194) @lamarrr
• Rewrite Java API Table.readJSON to return the output from libcudf read_json directly (#17180) @ttnghia
• Support storing precision of decimal types in Schema class (#17176) @ttnghia
• Migrate CSV writer to pylibcudf (#17163) @Matt711
• Add compute_shared_memory_aggs used by shared memory groupby (#17162) @PointKernel
• Added ast tree to simplify expression lifetime management (#17156) @lamarrr
• Add compute_mapping_indices used by shared memory groupby (#17147) @PointKernel
• Add remaining datetime APIs to pylibcudf (#17143) @Matt711
• Added strings AST vs BINARY_OP benchmarks (#17128) @lamarrr
• Use libcudf_exception_handler throughout pylibcudf.libcudf (#17109) @brandon-b-miller
• Include timezone file path in error message (#17102) @bdice
• Migrate NVText Byte Pair Encoding APIs to pylibcudf (#17101) @Matt711
• Migrate NVText Tokenizing APIs to pylibcudf (#17100) @Matt711
• Migrate NVtext subword tokenizing APIs to pylibcudf (#17096) @Matt711
• Migrate NVText Stemming APIs to pylibcudf (#17085) @Matt711
• Migrate NVText Replacing APIs to pylibcudf (#17084) @Matt711
• Add IWYU to CI (#17078) @vyasr
• cudf-polars string/numeric casting (#17076) @brandon-b-miller
• Migrate NVText Normalizing APIs to Pylibcudf (#17072) @Matt711
• Migrate remaining nvtext NGrams APIs to pylibcudf (#17070) @Matt711
• Add profilers to CUDA 12 conda devcontainers (#17066) @vyasr
• Add conda recipe for cudf-polars (#17037) @bdice
• Implement batch construction for strings columns (#17035) @ttnghia
• Add device aggregators used by shared memory groupby (#17031) @PointKernel
• Add optional column_order in JSON reader (#17029) @karthikeyann
• Migrate Min Hashing APIs to pylibcudf (#17021) @Matt711
• Reorganize cudf_polars expression code (#17014) @brandon-b-miller
• Migrate nvtext jaccard API to pylibcudf (#17007) @Matt711
• Migrate nvtext generate_ngrams APIs to pylibcudf (#17006) @ma...

v24.10.01

This hotfix corrected some python packaging issues.

Full Changelog: v24.10.00...v24.10.01