requirements.lock

# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.lock
affine==2.4.0
    # via
    #   pysheds
    #   rasterio
anyio==4.13.0
    # via
    #   httpx
    #   jupyter-server
argon2-cffi==25.1.0
    # via jupyter-server
argon2-cffi-bindings==25.1.0
    # via argon2-cffi
arrow==1.4.0
    # via isoduration
asttokens==3.0.1
    # via stack-data
async-lru==2.3.0
    # via jupyterlab
atlite==0.5.0
    # via data-science-for-esm (pyproject.toml)
attrs==26.1.0
    # via
    #   cfgrib
    #   eccodes
    #   ecmwf-datastores-client
    #   jsonschema
    #   rasterio
    #   referencing
babel==2.18.0
    # via jupyterlab-server
beautifulsoup4==4.14.3
    # via
    #   entsoe-py
    #   nbconvert
bleach==6.3.0
    # via nbconvert
bottleneck==1.6.0
    # via
    #   atlite
    #   linopy
branca==0.8.2
    # via folium
cartopy==0.25.0
    # via data-science-for-esm (pyproject.toml)
cdsapi==0.7.7
    # via atlite
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   netcdf4
    #   pyogrio
    #   pyproj
    #   rasterio
    #   requests
cffi==2.0.0
    # via
    #   argon2-cffi-bindings
    #   cryptography
    #   eccodes
cfgrib==0.9.15.1
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
cfgv==3.5.0
    # via pre-commit
cftime==1.6.5
    # via netcdf4
charset-normalizer==3.4.7
    # via requests
click==8.3.2
    # via
    #   cfgrib
    #   cligj
    #   dask
    #   rasterio
cligj==0.7.2
    # via rasterio
cloudpickle==3.1.2
    # via dask
comm==0.2.3
    # via ipykernel
contourpy==1.3.3
    # via matplotlib
country-converter==1.3.2
    # via
    #   data-science-for-esm (pyproject.toml)
    #   powerplantmatching
cryptography==46.0.6
    # via google-auth
cycler==0.12.1
    # via matplotlib
dask==2026.3.0
    # via
    #   atlite
    #   linopy
debugpy==1.8.20
    # via ipykernel
decorator==5.2.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
deprecation==2.1.0
    # via
    #   linopy
    #   powerplantmatching
    #   pypsa
distlib==0.4.0
    # via virtualenv
distro==1.9.0
    # via tabula-py
eccodes==2.46.0
    # via cfgrib
eccodeslib==2.46.2.19
    # via eccodes
eckitlib==2.0.7.19
    # via eccodeslib
ecmwf-datastores-client==0.5.1
    # via cdsapi
entsoe-py==0.7.11
    # via powerplantmatching
et-xmlfile==2.0.0
    # via openpyxl
executing==2.2.1
    # via stack-data
fastjsonschema==2.21.2
    # via nbformat
filelock==3.25.2
    # via
    #   python-discovery
    #   virtualenv
findlibs==0.1.2
    # via eccodes
folium==0.20.0
    # via data-science-for-esm (pyproject.toml)
fonttools==4.62.1
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
fsspec==2026.3.0
    # via dask
geographiclib==2.1
    # via geopy
geojson==3.2.0
    # via pysheds
geopandas==1.1.1
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   pypsa
geopy==2.4.1
    # via powerplantmatching
ghp-import==2.1.0
    # via data-science-for-esm (pyproject.toml)
google-api-core==2.30.2
    # via
    #   google-cloud-core
    #   google-cloud-storage
google-auth==2.49.1
    # via
    #   google-api-core
    #   google-cloud-core
    #   google-cloud-storage
google-cloud-core==2.5.1
    # via google-cloud-storage
google-cloud-storage==3.10.1
    # via linopy
google-crc32c==1.8.0
    # via
    #   google-cloud-storage
    #   google-resumable-media
google-resumable-media==2.8.2
    # via google-cloud-storage
googleapis-common-protos==1.74.0
    # via google-api-core
graphviz==0.21
    # via data-science-for-esm (pyproject.toml)
h11==0.16.0
    # via httpcore
h5netcdf==1.8.1
    # via atlite
highspy==1.14.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   pypsa
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via jupyterlab
identify==2.6.18
    # via pre-commit
idna==3.11
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
imageio==2.37.3
    # via scikit-image
ipykernel==7.2.0
    # via
    #   jupyter-book
    #   jupyterlab
ipython==9.12.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   ipykernel
ipython-pygments-lexers==1.1.1
    # via ipython
isoduration==20.11.0
    # via jsonschema
jedi==0.19.2
    # via ipython
jinja2==3.1.6
    # via
    #   branca
    #   folium
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
    #   pydeck
joblib==1.5.3
    # via scikit-learn
json5==0.14.0
    # via jupyterlab-server
jsonpointer==3.1.1
    # via jsonschema
jsonschema==4.26.0
    # via
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-book==2.1.4
    # via data-science-for-esm (pyproject.toml)
jupyter-client==8.8.0
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclient
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-book
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.12.0
    # via jupyter-server
jupyter-lsp==2.3.1
    # via jupyterlab
jupyter-server==2.17.0
    # via
    #   jupyter-book
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook-shim
jupyter-server-terminals==0.5.4
    # via jupyter-server
jupyterlab==4.5.6
    # via data-science-for-esm (pyproject.toml)
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.28.0
    # via jupyterlab
kiwisolver==1.5.0
    # via matplotlib
lark==1.3.1
    # via rfc3987-syntax
lazy-loader==0.5
    # via scikit-image
levenshtein==0.27.3
    # via pypsa
linopy==0.6.6
    # via pypsa
llvmlite==0.47.0
    # via numba
locket==1.0.0
    # via partd
looseversion==1.3.0
    # via pysheds
lxml==6.0.2
    # via data-science-for-esm (pyproject.toml)
mapclassify==2.10.0
    # via data-science-for-esm (pyproject.toml)
markupsafe==3.0.3
    # via
    #   jinja2
    #   nbconvert
matplotlib==3.10.8
    # via
    #   data-science-for-esm (pyproject.toml)
    #   cartopy
    #   powerplantmatching
    #   pypsa
    #   seaborn
matplotlib-inline==0.2.1
    # via
    #   ipykernel
    #   ipython
mistune==3.2.0
    # via nbconvert
multiurl==0.3.7
    # via ecmwf-datastores-client
narwhals==2.19.0
    # via plotly
nbclient==0.10.4
    # via nbconvert
nbconvert==7.17.0
    # via jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
netcdf4==1.7.3
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   pypsa
networkx==3.6.1
    # via
    #   data-science-for-esm (pyproject.toml)
    #   mapclassify
    #   powerplantmatching
    #   pypsa
    #   scikit-image
nodeenv==1.10.0
    # via
    #   jupyter-book
    #   pre-commit
notebook-shim==0.2.4
    # via jupyterlab
numba==0.65.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   pysheds
numexpr==2.14.1
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   linopy
numpy==2.4.4
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   bottleneck
    #   cartopy
    #   cfgrib
    #   cftime
    #   contourpy
    #   eccodes
    #   folium
    #   geopandas
    #   h5netcdf
    #   highspy
    #   imageio
    #   linopy
    #   mapclassify
    #   matplotlib
    #   netcdf4
    #   numba
    #   numexpr
    #   pandas
    #   powerplantmatching
    #   pydeck
    #   pyogrio
    #   pypsa
    #   pysheds
    #   rasterio
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   seaborn
    #   shapely
    #   tabula-py
    #   tifffile
    #   xarray
openpyxl==3.1.5
    # via
    #   data-science-for-esm (pyproject.toml)
    #   powerplantmatching
packaging==26.0
    # via
    #   cartopy
    #   dask
    #   deprecation
    #   geopandas
    #   h5netcdf
    #   ipykernel
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   lazy-loader
    #   linopy
    #   matplotlib
    #   nbconvert
    #   plotly
    #   pyogrio
    #   scikit-image
    #   xarray
pandas==2.3.3
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   country-converter
    #   entsoe-py
    #   geopandas
    #   mapclassify
    #   powerplantmatching
    #   pypsa
    #   pysheds
    #   seaborn
    #   tabula-py
    #   xarray
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.6
    # via jedi
partd==1.4.2
    # via dask
pexpect==4.9.0
    # via ipython
pillow==12.2.0
    # via
    #   imageio
    #   matplotlib
    #   scikit-image
platformdirs==4.9.4
    # via
    #   jupyter-book
    #   jupyter-core
    #   python-discovery
    #   virtualenv
plotly==6.6.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   pypsa
polars==1.39.3
    # via linopy
polars-runtime-32==1.39.3
    # via polars
powerplantmatching==0.8.1
    # via data-science-for-esm (pyproject.toml)
pre-commit==4.5.1
    # via data-science-for-esm (pyproject.toml)
progressbar2==4.5.0
    # via atlite
prometheus-client==0.24.1
    # via jupyter-server
prompt-toolkit==3.0.52
    # via ipython
proto-plus==1.27.2
    # via google-api-core
protobuf==7.34.1
    # via
    #   google-api-core
    #   googleapis-common-protos
    #   proto-plus
psutil==7.2.2
    # via ipykernel
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.3
    # via stack-data
pyarrow==23.0.1
    # via data-science-for-esm (pyproject.toml)
pyasn1==0.6.3
    # via pyasn1-modules
pyasn1-modules==0.4.2
    # via google-auth
pycountry==26.2.16
    # via powerplantmatching
pycparser==3.0
    # via cffi
pydeck==0.9.1
    # via pypsa
pyepsg==0.4.0
    # via data-science-for-esm (pyproject.toml)
pygments==2.20.0
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   nbconvert
pyogrio==0.12.1
    # via geopandas
pyomo==6.10.0
    # via data-science-for-esm (pyproject.toml)
pyparsing==3.3.2
    # via
    #   matplotlib
    #   rasterio
pyproj==3.7.2
    # via
    #   atlite
    #   cartopy
    #   geopandas
    #   pysheds
pypsa==1.1.2
    # via data-science-for-esm (pyproject.toml)
pysheds==0.5
    # via data-science-for-esm (pyproject.toml)
pyshp==3.0.3
    # via cartopy
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   ghp-import
    #   jupyter-client
    #   matplotlib
    #   multiurl
    #   pandas
python-discovery==1.2.1
    # via virtualenv
python-json-logger==4.1.0
    # via jupyter-events
python-utils==3.9.1
    # via progressbar2
pytz==2026.1.post1
    # via
    #   entsoe-py
    #   multiurl
    #   pandas
pyxlsb==1.0.10
    # via data-science-for-esm (pyproject.toml)
pyyaml==6.0.3
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   dask
    #   jupyter-events
    #   powerplantmatching
    #   pre-commit
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
rapidfuzz==3.14.5
    # via levenshtein
rasterio==1.5.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   pysheds
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
requests==2.33.1
    # via
    #   atlite
    #   cdsapi
    #   ecmwf-datastores-client
    #   entsoe-py
    #   folium
    #   google-api-core
    #   google-cloud-storage
    #   jupyterlab-server
    #   linopy
    #   multiurl
    #   powerplantmatching
    #   pyepsg
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rfc3987-syntax==1.1.0
    # via jsonschema
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
scikit-image==0.26.0
    # via pysheds
scikit-learn==1.8.0
    # via mapclassify
scipy==1.17.1
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   linopy
    #   mapclassify
    #   powerplantmatching
    #   pypsa
    #   pysheds
    #   scikit-image
    #   scikit-learn
seaborn==0.13.2
    # via
    #   powerplantmatching
    #   pypsa
send2trash==2.1.0
    # via jupyter-server
setuptools==82.0.1
    # via jupyterlab
shapely==2.1.2
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   cartopy
    #   geopandas
    #   pypsa
six==1.17.0
    # via
    #   python-dateutil
    #   rfc3339-validator
soupsieve==2.8.3
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
tabula-py==2.10.0
    # via data-science-for-esm (pyproject.toml)
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
threadpoolctl==3.6.0
    # via scikit-learn
tifffile==2026.3.3
    # via scikit-image
tinycss2==1.4.0
    # via bleach
toolz==1.1.0
    # via
    #   atlite
    #   dask
    #   linopy
    #   partd
tornado==6.5.5
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   terminado
tqdm==4.67.3
    # via
    #   atlite
    #   cdsapi
    #   linopy
    #   multiurl
    #   powerplantmatching
traitlets==5.14.3
    # via
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
typing-extensions==4.15.0
    # via
    #   atlite
    #   beautifulsoup4
    #   ecmwf-datastores-client
    #   python-utils
tzdata==2026.1
    # via
    #   arrow
    #   pandas
unidecode==1.4.0
    # via powerplantmatching
uri-template==1.3.0
    # via jsonschema
urllib3==2.6.3
    # via requests
validators==0.35.0
    # via pypsa
virtualenv==21.2.0
    # via pre-commit
wcwidth==0.6.0
    # via prompt-toolkit
webcolors==25.10.0
    # via jsonschema
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.9.0
    # via jupyter-server
xarray==2026.2.0
    # via
    #   data-science-for-esm (pyproject.toml)
    #   atlite
    #   linopy
    #   pypsa
xlrd==2.0.2
    # via
    #   data-science-for-esm (pyproject.toml)
    #   powerplantmatching
xyzservices==2026.3.0
    # via folium