build(deps): bump the production group across 1 directory with 17 updates

[dependabot]

Bumps the production group with 16 updates in the / directory:

Package	From	To
numpy	2.4.2	2.5.2
pydantic	2.12.5	2.13.4
scikit-fingerprints	1.18.0	2.0.0
scikit-learn	1.8.0	1.9.0
scipy	1.17.1	1.18.0
umap-learn	0.5.11	0.5.12
mlflow-skinny	3.10.0	3.15.1
plotly	6.5.2	6.9.0
fastparquet	2026.3.0	2026.5.0
torch	2.9.1	2.13.0
torch-geometric	2.7.0	2.8.0.post1
optuna	4.7.0	4.9.0
optuna-integration	4.7.0	4.9.0
transformers	4.57.6	5.15.0
chemprop	2.2.2	2.3.1
myst-parser	4.0.1	5.1.0

Updates numpy from 2.4.2 to 2.5.2

Release notes

Sourced from numpy's releases.

v2.5.2 (Aug 9, 2026)

NumPy 2.5.2 Release Notes

The NumPy 2.5.2 is a patch release that fixes bugs discovered after the 2.5.1 release. The big news is that it includes wheels for the newly released Python 3.15.0rc1.

This release supports Python versions 3.12-3.15

C API changes

PyArray_StringDTypeObject is opaque under the abi3t stable ABI

The PyArray_StringDTypeObject was accidentally exposed in NumPy 2.5 when targeting the free-threading-compatible stable ABI (Py_TARGET_ABI3T). PyArray_StringDTypeObject is now an opaque struct: extensions compiled that way cannot access its fields, since the struct layout depends on the size of the object header. Any code that accessed PyArray_StringDTypeObject fields in an abi3t build would have crashed, so we are making this API change in a bugfix release.

The NpyString allocator API remains usable by passing the descriptor object pointer, e.g. NpyString_acquire_allocator((PyArray_StringDTypeObject *)descr).

(gh-31771)

Contributors

A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Abhijeetsingh Meena +
• Charalampos Stratakis
• Charles Harris
• Chris Ninham +
• David Woods
• Geonho +
• Gopu Yeshwanth Reddy +
• Iason Krommydas
• Ijtihed Kilani
• Jelle Zijlstra +
• Joren Hammudoglu
• Kumar Aditya
• Mike Boyle
• Nathan Goldbaum
• Raghuveer Devulapalli
• Sebastian Berg

... (truncated)

Commits

• 48fecee REL: Prepare for the NumPy 2.5.2 release (#32226)
• ecf599c Merge pull request #32221 from charris/backport-32151
• 3c7ac97 Merge pull request #32220 from charris/backport-32205
• 23b30f4 BUG: avoid segfaults when legacy copyswap slot is not defined (#32151)
• 4964ca8 TYP: isclose shape-typing fix for 2d array-likes (#32205)
• c37ed94 MAINT: Skip limited_api tests on some platforms. (#32214)
• 5cfd73b Merge pull request #32206 from charris/update-cibuildwheel
• d8262bc MAINT: Update cibuildwheel to v4.2.0
• 988d94d Merge pull request #32158 from charris/backport-32133
• b2e4f97 BUG: avoid possible stack overflow in arraydescr_dealloc (#32133)
• Additional commits viewable in compare view

Updates pydantic from 2.12.5 to 2.13.4

Release notes

Sourced from pydantic's releases.

v2.13.4 2026-05-06

v2.13.4 (2026-05-06)

What's Changed

Packaging

• Bump libc from 0.2.155 to 0.2.185 by @​Viicos in #13109
• Adapt pydantic-core linker flags on macOS by @​washingtoneg and @​Viicos in #13147

Fixes

• Preserve RootModel core metadata by @​Viicos in #13129

Full Changelog: pydantic/pydantic@v2.13.3...v2.13.4

v2.13.3 2026-04-20

v2.13.3 (2026-04-20)

What's Changed

Fixes

• Handle AttributeError subclasses with from_attributes by @​Viicos in #13096

Full Changelog: pydantic/pydantic@v2.13.2...v2.13.3

v2.13.2 2026-04-17

v2.13.2 (2026-04-17)

What's Changed

Fixes

• Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

Full Changelog: pydantic/pydantic@v2.13.1...v2.13.2

v2.13.1 2026-04-15

v2.13.1 (2026-04-15)

What's Changed

Fixes

• Fix ValidationInfo.data missing with model_validate_json() by @​davidhewitt in #13079

Full Changelog: pydantic/pydantic@v2.13.0...v2.13.1

v2.13.0 2026-04-13

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.13.4 (2026-05-06)

GitHub release

What's Changed

Packaging

• Bump libc from 0.2.155 to 0.2.185 by @​Viicos in #13109
• Adapt pydantic-core linker flags on macOS by @​washingtoneg and @​Viicos in #13147

Fixes

• Preserve RootModel core metadata by @​Viicos in #13129

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

• Handle AttributeError subclasses with from_attributes by @​Viicos in #13096

v2.13.2 (2026-04-17)

GitHub release

What's Changed

Fixes

• Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

v2.13.1 (2026-04-15)

GitHub release

What's Changed

Fixes

• Fix ValidationInfo.data missing with model_validate_json() by @​davidhewitt in #13079

v2.13.0 (2026-04-13)

GitHub release

The highlights of the v2.13 release are available in the blog post.

... (truncated)

Commits

• cf67d4b Fix linting
• f0d8a21 Prepare release v2.13.4
• 5e3fe1d Check for pydantic tag pattern in CI
• 7f9edcc Document tagging conventions
• b46a0c9 Adapt pydantic-core linker flags on macOS
• 50629c8 Update to PyPy 7.3.22
• 8522ebb Preserve RootModel core metadata
• a37f3af Adapt MISSING sentinel test to work with unreleased typing_extensions ver...
• 909259a Remove Logfire example in documentation
• 2c4174c Bump libc from 0.2.155 to 0.2.185
• Additional commits viewable in compare view

Updates scikit-fingerprints from 1.18.0 to 2.0.0

Release notes

Sourced from scikit-fingerprints's releases.

scikit-fingerprints 2.0.0

This is a major release to signify how scikit-fingerprints grew in scope and functionality since 1.0.0. It now covers not only molecular fingerprints, but also molecular filters, datasets, distances & similarities, applicability domain checkers, and much more. While this v2.0.0 does not bring significant breaking changes overall, it does change many smaller functionalities, in particular MAP4 fingerprint. Further, we want to underscore the wider scope of the library now, with many planned extensions down the line in 2.x versions.

New features

• ensure_mols now supports InChI strings, which also means all fingerprints etc. safely take InChI input in addition to SMILES and Mol objects
• TDC clearance_hepatocyte_az dataset removed due to low data quality
• First clustering method: MaxMin clustering
• Filtering only valid sequences in LRGB
• Multithreading for MolFromSDFTransformer for new RDKit versions

Breaking changes

• MAP4 fingerprint debugged, results will strongly differ from previous ones
• random_state removed from classes that didn't use it

Fixes, small modifications, internal changes

• A lot of small fixes, with code and docs style unification
• Faster tests and CI
• Many new benchmarks

New Contributors

• @​LiudengZhang made their first contribution in MLCIL/scikit-fingerprints#524
• @​florian-huber made their first contribution in MLCIL/scikit-fingerprints#528
• @​abbadonaz made their first contribution in MLCIL/scikit-fingerprints#512
• @​FloudMe77 made their first contribution in MLCIL/scikit-fingerprints#526
• @​deepakdamera made their first contribution in MLCIL/scikit-fingerprints#532

Full Changelog: MLCIL/scikit-fingerprints@v1.18.0...v2.0.0

Commits

• 2dd390b Fixed random_state parameter documentation and implementation (#532)
• e78407c Add HP tuning scikit-fingeprint vs scikit-klearn benchmark (#536)
• 0aa3f28 Expand random_state type hints to accept RandomState (#527)
• 533a42e Add Klekota-Roth SKFP vs CDK comparison (#533)
• d6a6afc Add multithreading to MolFromSDFTransformer [Issue 467] (#526)
• 0eb7623 Add Tanimoto scikit-fingerprints vs RDKit benchmark (#530)
• b0d7961 Add LRGB only valid sequences option (#529)
• a881f2c Add MaxMin clustering for binary molecular fingerprints (#512)
• e4895ed MAP4 implementation fixes (#528)
• 6c8b6b3 Fix chirality bug in MAPFingerprint using full molecule instead of substructu...
• Additional commits viewable in compare view

Updates scikit-learn from 1.8.0 to 1.9.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.9.0

We're happy to announce the 1.9.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_9_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.9.html

This release adds narwhals as a new dependency that will help to improve dataframe interoperability across the project.

This version supports Python versions 3.11 to 3.14.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Commits

• 77def0e trigger wheel builder [cd build]
• ee7c0b0 generate changelog
• 3d7fb04 bump version
• 8954e7b DOC Release highlights for 1.9 (#34147)
• 73a3eab Fix: Array-API - avoid failing for numpy fit + predict with sparse or array-l...
• 8839aae DOC Thread-safety requirement for open_listener message consumer callback (#3...
• 4d2476a DOC Refactor array API docs page (#34054)
• f9f812f 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
• d779dc3 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
• 6a03cf0 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
• Additional commits viewable in compare view

Updates scipy from 1.17.1 to 1.18.0

Release notes

Sourced from scipy's releases.

SciPy 1.18.0 Release Notes

SciPy 1.18.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.18.x branch, and on adding new features on the main branch.

This release requires Python 3.12-3.14 and NumPy 2.0.0 or greater.

Highlights of this release

• SciPy now supports three different build modes for BLAS and LAPACK LP64/ILP64 support, and machinery is provided for downstream cython_lapack consumers to gracefully handle LP64/ILP64 backend builds. ILP64 support has been substantially improved across the SciPy library.
• Remaining Fortran to C translations have been completed---an experimental Fortran-free build option is now available to developers for testing purposes. Developer feedback is welcome on Fortran-free builds.
• scipy.signal.whittaker_henderson now provides access to Whittaker-Henderson smoothing of a discrete signal.
• A large number of scipy.stats functions now support lazy arrays and JAX JIT. Array API support has been improved substantially in SciPy, with at least 21 functions gaining new support in this release. 16 scipy.stats functions have also gained support for MArray input.

New features

scipy.fft improvements

• SciPy's internal FFT backend has switched from pocketfft to its successor package ducc0.fft, which features several incremental improvements. The most significant of those from SciPy's perspective is probably that storage requirements for internally cached plans have been significantly reduced for most long 1D transforms. Plans that require more storage than 1MB will no longer be cached; this mainly affects huge 1D transforms of prime and near-prime sizes.

scipy.interpolate improvements

... (truncated)

Commits

• 54ef542 REL: 1.18.0 release commit
• a45e463 Merge pull request #25395 from tylerjereddy/treddy_prep_1.18.0_final
• ee2442e TYP, MAINT, TST: PR 25395 revisions
• 3225154 DOC: PR 25395 revisions
• 14c7bd7 TYP: Fix mypy errors with pytest==9.1.0 (#25410)
• 71522e9 DOC: revise SciPy 1.18.0 release notes
• 92f8482 MAINT: fix errors from pytest 9.1 (#25378)
• 7b27bf4 TST, MAINT: modernize spatial tests for pytest 10 (#25376)
• d05b640 Merge pull request #25347 from tylerjereddy/treddy_version_bump_1.18.0rc3
• e60fe8b REL: set to 1.18.0rc3 unreleased
• Additional commits viewable in compare view

Updates umap-learn from 0.5.11 to 0.5.12

Release notes

Sourced from umap-learn's releases.

release-0.5.12

What's Changed

• Remove nomic atlas reference from plotting.rst by @​cakiki in lmcinnes/umap#1238
• [MINOR] Update README.rst by @​cakiki in lmcinnes/umap#1241
• Remove more atlas references / fix doc build warnings by @​cakiki in lmcinnes/umap#1243
• Fix for #1180 and #1200 - NaN loss on Parametric UMAP retraining. by @​jacobgolding in lmcinnes/umap#1244
• Edit distance fixes + fast short ascii method (Myers) by @​jh83775 in lmcinnes/umap#1247
• Fixing gradients in some metrics by @​jh83775 in lmcinnes/umap#1248
• Update parametric_umap.py by @​M4rk0st0j in lmcinnes/umap#1249
• Issue 1216 by @​lmcinnes in lmcinnes/umap#1250

New Contributors

• @​M4rk0st0j made their first contribution in lmcinnes/umap#1249

Full Changelog: lmcinnes/umap@release-0.5.11...release-0.5.12

Commits

• cdb0eeb Merge pull request #1250 from lmcinnes/issue_1216
• f30d372 version bump
• 6927806 Just remove fastmath
• 7a7bc24 Merge pull request #1249 from M4rk0st0j/master
• 1642ec6 Merge pull request #1248 from jh83775/grad-fix
• e45dc6d Update parametric_umap.py
• dc05089 guard hellinger_grad against tiny negatives
• afd16c8 formatting
• 31e484d add tests for softmax_hellinger
• 6d7be7d fix hellinger output type; add softmax_hellinger
• Additional commits viewable in compare view

Updates mlflow-skinny from 3.10.0 to 3.15.1

Release notes

Sourced from mlflow-skinny's releases.

MLflow 3.15.1 is a patch release that includes bug fixes and documentation updates.

Bug fixes:

• [Model Registry] Skip env_pack on ARM client images (#24762, @​qyc)
• [Scoring / Tracking] Harden version parsing against missing/non-PEP440 versions on Databricks Serverless (#24799, @​PattaraS)

Documentation updates:

• [Docs] Clarify scorer versioning documentation (#24769, @​nihalmenon)

v3.15.0

MLflow 3.15.0 includes several major features and improvements

Major New Features

• 🧩 MCP Registry: A centralized catalog for registering, versioning, and sharing Model Context Protocol servers — with semantic-versioned configs, promotable aliases, tags, auto-discovered tools, and ready-made connection instructions for Claude Code and .mcp.json. Manage it from the UI, REST API, or Python!
• 🤖 MLflow Assistant enhancements: The in-app AI assistant now supports multiple LLM providers (Claude Code, Codex, and OpenAI-compatible/Gateway endpoints) chosen from a single settings page, displays live per-session token usage and estimated cost in the composer, and is easier to set up — mlflow agent setup can enable it in one prompt, with API keys stored securely in the Gateway's LLM Connections.
• 🗂️ Sharable table views: Save named views of the Runs table — capturing columns, order, widths, filters, and sort — and share them by URL.
• ⚡ Proxy-less artifact upload/download via presigned URLs: Large artifact transfers can now bypass the tracking server and talk directly to cloud storage (e.g. S3) through presigned URLs, cutting server load and timeouts on big files. We fall back to proxied transfer automatically for backward compatibility.
• 🖼️ Multi-modal attachments in LLM judges: {{ trace }} judges created with make_judge() can now see images captured in trace spans via a new get_span_image tool, which fetches attachments as base64 data URLs and passes them to multimodal models (Anthropic, Gemini, and OpenAI-compatible via litellm) — enabling evaluation of vision tasks, screenshots, and other visual content.

Other Assorted Features & Improvements:

• [Tracing / Tracking] Add Pydantic AI 2.x autologging support (#24721, @​B-Step62)
• [Tracing / UI] [3/3] Add action recommendation for low-value issue detection result (#24580, @​B-Step62)
• [Gateway] Support per-endpoint budget policies in the AI Gateway (#24370, @​joelrobin18)
• [Evaluation / Gateway] Add sap-ai-core:/ provider for SAP AI Core Orchestration v2 with extra_headers support (#24356, @​shivamxtech)
• [Model Registry] [Model Registry] Migrate UC model artifact download to native temp-creds (#24576, @​AknA13)
• [Gateway / Tracing / UI] [2/3] Simplify issue detection start modal (#24579, @​B-Step62)
• [Tracing / UI] [1/3] Run issue detection in the background (#24578, @​B-Step62)
• [Tracing] [BUG] Fix otel parent context propagation (#24444, @​iyashk)
• [Model Registry] [Model Registry] Gate UC model-registry client on native /api/2.1 endpoints (#24517, @​AknA13)
• [Docs / Tracking] Enable artifacts-only mode with workspaces (#24452, @​kramaranya)
• [Tracing / UI] Stop eagerly prefetching full neighboring traces in tracing UI (#24411, @​DaoDaoNoCode)
• [Docs / Gateway] Authenticate OpenAI-protocol coding agents through the RBAC gateway (#24294, @​joshuawong-db)
• [Tracing] feat: add search traces to typescript sdk (#23660, @​WUMIKE233)
• [Prompts / UI] Add per-tool cards with a Monaco JSON editor and Format action to the Playground (#24129, @​tanghaoji)
• [Prompts / UI] Redesign Playground Tools settings with an Add-tools entry flow (#24102, @​tanghaoji)
• [] feat: add Cursor model catalog with Auto and Composer 2.5 pricing (#24078, @​TomeHirata)
• [Tracing / Tracking] Support numeric assessment trace filters (#23948, @​tanghaoji)

Bug fixes:

• [Tracing] Compute mlflow.llm.cost for Claude Code plugin traces on Databricks (#24416, @​harupy)
• [UI] Fix artifact direct download capability checks in UI (#24748, @​B-Step62)
• [Tracing / UI] Refresh traces saved-view on load across multiple windows (#24746, @​joshuawong-db)
• [UI] Fix UnauthorizedError constructor message (#24729, @​mihir2921)
• [UI] Fall back to nested spans for Chat Sessions turn content (#24703, @​MannXo)
• [Tracing / Tracking] Fix experiment GC cascades for traces and logged models (#24351, @​copilot-swe-agent)

... (truncated)

Changelog

Sourced from mlflow-skinny's changelog.

3.15.1 (2026-08-03)

MLflow 3.15.1 is a patch release that includes bug fixes and documentation updates.

Bug fixes:

• [Model Registry] Skip env_pack on ARM client images (#24762) (#24835, @​qyc)
• [Scoring / Tracking] Harden version parsing against missing/non-PEP440 versions on Databricks Serverless (+ lint rule) (#24799) (#24813, @​PattaraS)

Documentation updates:

• [Docs] Clarify scorer versioning documentation (#24769) (#24805, @​nihalmenon)

3.15.0 (2026-07-31)

MLflow 3.15.0 includes several major features and improvements

Major New Features

• 🧩 MCP Registry: A centralized catalog for registering, versioning, and sharing Model Context Protocol servers — with semantic-versioned configs, promotable aliases, tags, auto-discovered tools, and ready-made connection instructions for Claude Code and .mcp.json. Manage it from the UI, REST API, or Python!
• 🤖 MLflow Assistant enhancements: The in-app AI assistant now supports multiple LLM providers (Claude Code, Codex, and OpenAI-compatible/Gateway endpoints) chosen from a single settings page, displays live per-session token usage and estimated cost in the composer, and is easier to set up — mlflow agent setup can enable it in one prompt, with API keys stored securely in the Gateway's LLM Connections.
• 🗂️ Sharable table views: Save named views of the Runs table — capturing columns, order, widths, filters, and sort — and share them by URL.
• ⚡ Proxy-less artifact upload/download via presigned URLs: Large artifact transfers can now bypass the tracking server and talk directly to cloud storage (e.g. S3) through presigned URLs, cutting server load and timeouts on big files. We fall back to proxied transfer automatically for backward compatibility.
• 🖼️ Multi-modal attachments in LLM judges: {{ trace }} judges created with make_judge() can now see images captured in trace spans via a new get_span_image tool, which fetches attachments as base64 data URLs and passes them to multimodal models (Anthropic, Gemini, and OpenAI-compatible via litellm) — enabling evaluation of vision tasks, screenshots, and other visual content.

Other Assorted Features & Improvements:

• [Tracing / Tracking] Add Pydantic AI 2.x autologging support (#24721, @​B-Step62)
• [Tracing / UI] [3/3] Add action recommendation for low-value issue detection result (#24580, @​B-Step62)
• [Gateway] Support per-endpoint budget policies in the AI Gateway (#24370, @​joelrobin18)
• [Evaluation / Gateway] Add sap-ai-core:/ provider for SAP AI Core Orchestration v2 with extra_headers support (#24356, @​shivamxtech)
• [Model Registry] [Model Registry] Migrate UC model artifact download to native temp-creds (#24576, @​AknA13)
• [Gateway / Tracing / UI] [2/3] Simplify issue detection start modal (#24579, @​B-Step62)
• [Tracing / UI] [1/3] Run issue detection in the background (#24578, @​B-Step62)
• [Tracing] [BUG] Fix otel parent context propagation (#24444, @​iyashk)
• [Model Registry] [Model Registry] Gate UC model-registry client on native /api/2.1 endpoints (#24517, @​AknA13)
• [Docs / Tracking] Enable artifacts-only mode with workspaces (#24452, @​kramaranya)
• [Tracing / UI] Stop eagerly prefetching full neighboring traces in tracing UI (#24411, @​DaoDaoNoCode)
• [Docs / Gateway] Authenticate OpenAI-protocol coding agents through the RBAC gateway (#24294, @​joshuawong-db)
• [Tracing] feat: add search traces to typescript sdk (#23660, @​WUMIKE233)
• [Prompts / UI] Add per-tool cards with a Monaco JSON editor and Format action to the Playground (#24129, @​tanghaoji)
• [Prompts / UI] Redesign Playground Tools settings with an Add-tools entry flow (#24102, @​tanghaoji)
• [] feat: add Cursor model catalog with Auto and Composer 2.5 pricing (#24078, @​TomeHirata)
• [Tracing / Tracking] Support numeric assessment trace filters (#23948, @​tanghaoji)

Bug fixes:

• [Tracing] Compute mlflow.llm.cost for Claude Code plugin traces on Databricks (#24416, @​harupy)
• [UI] Fix artifact direct download capability checks in UI (#24748, @​B-Step62)
• [Tracing / UI] Refresh traces saved-view on load across multiple windows (#24746, @​joshuawong-db)

... (truncated)

Commits

• 9a1c0d9 Skip env_pack on ARM client images (#24762)
• 20d1524 Update uv.lock (#24836)
• f560bc7 Bump version to 3.15.1 (#24817)
• 4debaa7 Harden version parsing against missing/non-PEP440 versions on Databricks Serv...
• fae40a0 Clarify scorer versioning documentation (#24769) (#24805)
• d0f3152 Fix traces shared-view banner bleeding into non-saved-view pages (#24785) (#2...
• 58452f5 Bump version to 3.15.0 (#24757)
• 222f8e2 Update ML package versions for 3.15.0 (#24753)
• 569841a Update requirements.yaml files for 3.15.0 (#24752)
• b3662f0 Compute mlflow.llm.cost for Claude Code plugin traces on Databricks (#24416)
• Additional commits viewable in compare view

Updates plotly from 6.5.2 to 6.9.0

Release notes

Sourced from plotly's releases.

v6.9.0

Fixed

• Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!

Updated

• Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
  • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
  • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
  • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

Full Changelog: plotly/plotly.py@v6.8.0...v6.9.0

v6.8.0

Added

• Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

• Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
• Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
• Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
• Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
• Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
• Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
• Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

• The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
• Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [#5608]. Notable changes include:
  • Add support for arrays for the pie property legendrank, so that it can be configured per slice [#7723]
  • Add hoversort layout attribute to sort unified hover label items by value [#7734]

v6.7.0

Added

• Add facet_row support to px.imshow for creating subplots along an additional dimension [#5445], with thanks to @​FBumann for the contribution!

Fixed

• Update numpy.percentile syntax to stop using deprecated alias [#5483], with thanks to @​Mr-Neutr0n for the contribution!
  • numpy with a version less than 1.22 is no longer supported.
• Handle empty px.histogram by skipping None label in hover template [#5535], with thanks to @​tysoncung for the contribution!

Updated

• Update plotly.js from version 3.4.0 to version 3.5.0. See the plotly.js release notes for more information. [#5565]. Notable changes include:
  • Add hoveranywhere and clickanywhere layout attributes to enable emitting hover and click events anywhere in the plot area, not just over traces [#7707]
  • Add displayNotifier configuration property to set the display of notifier in the top right area of the viewport [#7730]
  • Update USA location lookup for scattergeo and choropleth traces to use both location names and abbreviations [#7731]

v6.6.0

Fixed

• Remove unneeded type="text/javascript" attribute from <style> tag [#5454], with thanks to @​hannob for the contribution!

... (truncated)

Changelog

Sourced from plotly's changelog.

[6.9.0] - 2026-07-09

Fixed

• Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!
• Read and write figure JSON files as UTF-8 in read_json/write_json so figures containing non-ASCII text are handled correctly on platforms whose default encoding is not UTF-8 (e.g. cp1252 on Windows) [#5633]

Updated

• Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
  • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
  • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
  • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

[6.8.0] - 2026-06-03

Added

• Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

• Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
• Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
• Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
• Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
• Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
• Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
• Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

• The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
• Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [

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