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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --extra=lint --extra=tests --extra=viz --output-file=requirements.txt pyproject.toml requirements.in
#
affine==2.4.0
# via
# datacube
# eodatasets3
# odc-algo
# odc-geo
# odc-stac
# rasterio
aiobotocore[boto3]==2.15.2
# via
# odc-cloud
# s3fs
aiohappyeyeballs==2.4.3
# via aiohttp
aiohttp==3.10.10
# via
# aiobotocore
# s3fs
aioitertools==0.12.0
# via aiobotocore
aiosignal==1.3.1
# via aiohttp
alembic==1.13.3
# via waterbodies (pyproject.toml)
asciitree==0.3.3
# via zarr
asttokens==2.4.1
# via stack-data
async-timeout==4.0.3
# via aiohttp
attrs==24.2.0
# via
# aiohttp
# cattrs
# datacube
# eodatasets3
# fiona
# hypothesis
# jsonschema
# rasterio
# referencing
black[jupyter]==24.10.0
# via waterbodies (pyproject.toml)
bokeh==3.6.0
# via dask
boltons==24.0.0
# via eodatasets3
boto3==1.35.36
# via
# aiobotocore
# datacube
# eodatasets3
# odc-cloud
botocore==1.35.36
# via
# aiobotocore
# boto3
# datacube
# eodatasets3
# odc-cloud
# odc-stats
# s3transfer
bottleneck==1.4.1
# via
# datacube
# xarray
branca==0.8.0
# via folium
cachetools==5.5.0
# via
# datacube
# odc-geo
cattrs==24.1.2
# via eodatasets3
certifi==2024.8.30
# via
# fiona
# netcdf4
# pyogrio
# pyproj
# rasterio
# requests
cfgv==3.4.0
# via pre-commit
cftime==1.6.4
# via
# nc-time-axis
# netcdf4
# xarray
charset-normalizer==3.4.0
# via requests
ciso8601==2.3.1
# via
# datacube
# eodatasets3
# odc-stats
click==8.1.7
# via
# black
# click-plugins
# cligj
# dask
# datacube
# distributed
# eodatasets3
# fiona
# odc-apps-dc-tools
# odc-dscache
# odc-stats
# rasterio
# waterbodies (pyproject.toml)
click-plugins==1.1.1
# via
# fiona
# rasterio
cligj==0.7.2
# via
# fiona
# rasterio
cloudpickle==3.1.0
# via
# dask
# datacube
# distributed
contourpy==1.3.0
# via
# bokeh
# matplotlib
coverage[toml]==7.6.3
# via
# pytest-cov
# waterbodies (pyproject.toml)
cycler==0.12.1
# via matplotlib
dask[array,complete,dataframe,diagnostics,distributed]==2024.9.1
# via
# dask-expr
# dask-image
# datacube
# distributed
# odc-algo
# odc-stac
# odc-stats
# xarray
dask-expr==1.1.15
# via dask
dask-image==2024.5.3
# via odc-algo
datacube[performance,s3]==1.8.19
# via
# eodatasets3
# odc-algo
# odc-apps-dc-tools
# odc-dscache
# odc-stats
# waterbodies (pyproject.toml)
datadog==0.50.1
# via odc-apps-dc-tools
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via eodatasets3
deprecat==2.1.3
# via datacube
distlib==0.3.9
# via virtualenv
distributed==2024.9.1
# via
# dask
# datacube
# odc-algo
# odc-stats
eodatasets3==0.30.6
# via
# odc-apps-dc-tools
# odc-stats
exceptiongroup==1.2.2
# via
# cattrs
# hypothesis
# ipython
# pytest
execnet==2.1.1
# via pytest-xdist
executing==2.1.0
# via stack-data
fasteners==0.19
# via zarr
filelock==3.16.1
# via virtualenv
fiona==1.10.1
# via
# eodatasets3
# odc-stats
flake8==7.1.1
# via waterbodies (pyproject.toml)
flox==0.9.13
# via xarray
folium==0.17.0
# via geopandas
fonttools==4.54.1
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec==2024.9.0
# via
# dask
# odc-apps-dc-tools
# odc-stats
# s3fs
# waterbodies (pyproject.toml)
# xarray
gdal==3.8.5
# via
# -r requirements.in
# odc-stats
geoalchemy2==0.15.2
# via
# datacube
# geopandas
# waterbodies (pyproject.toml)
geographiclib==2.0
# via geopy
geopandas[all]==1.0.1
# via waterbodies (pyproject.toml)
geopy==2.4.1
# via geopandas
greenlet==3.1.1
# via sqlalchemy
h5netcdf==1.4.0
# via xarray
h5py==3.12.1
# via
# eodatasets3
# h5netcdf
hypothesis==6.115.2
# via xarray
identify==2.6.1
# via pre-commit
idna==3.10
# via
# requests
# yarl
imageio==2.36.0
# via
# pims
# scikit-image
importlib-metadata==8.5.0
# via dask
importlib-resources==6.4.5
# via odc-apps-dc-tools
iniconfig==2.0.0
# via pytest
ipython==8.28.0
# via black
isort==5.13.2
# via waterbodies (pyproject.toml)
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via
# bokeh
# branca
# dask
# distributed
# folium
jmespath==1.0.1
# via
# boto3
# botocore
joblib==1.4.2
# via scikit-learn
jsonschema==4.23.0
# via
# datacube
# eodatasets3
# pystac
jsonschema-specifications==2024.10.1
# via jsonschema
kiwisolver==1.4.7
# via matplotlib
lark==1.2.2
# via datacube
lazy-loader==0.4
# via scikit-image
llvmlite==0.43.0
# via numba
lmdb==1.5.1
# via odc-dscache
locket==1.0.0
# via
# distributed
# partd
lxml==5.3.0
# via waterbodies (pyproject.toml)
lz4==4.3.3
# via dask
mako==1.3.5
# via alembic
mapclassify==2.8.1
# via geopandas
markupsafe==3.0.1
# via
# jinja2
# mako
matplotlib==3.9.2
# via
# geopandas
# nc-time-axis
# seaborn
# xarray
matplotlib-inline==0.1.7
# via ipython
mccabe==0.7.0
# via flake8
msgpack==1.1.0
# via distributed
multidict==6.1.0
# via
# aiohttp
# yarl
mypy==1.12.0
# via
# waterbodies (pyproject.toml)
# xarray
mypy-extensions==1.0.0
# via
# black
# mypy
nc-time-axis==1.4.1
# via xarray
netcdf4==1.7.1.post2
# via
# datacube
# xarray
networkx==3.4.1
# via
# mapclassify
# scikit-image
nodeenv==1.9.1
# via pre-commit
numba==0.60.0
# via numbagg
numbagg==0.8.2
# via xarray
numcodecs==0.13.1
# via zarr
numexpr==2.10.1
# via odc-algo
numpy==1.26.4
# via
# bokeh
# bottleneck
# cftime
# contourpy
# dask
# dask-image
# datacube
# eodatasets3
# flox
# folium
# geopandas
# h5py
# imageio
# mapclassify
# matplotlib
# nc-time-axis
# netcdf4
# numba
# numbagg
# numcodecs
# numexpr
# numpy-groupies
# odc-algo
# odc-geo
# odc-stac
# odc-stats
# pandas
# pims
# pyarrow
# pyogrio
# rasterio
# rioxarray
# scikit-image
# scikit-learn
# scipy
# seaborn
# shapely
# tflite-runtime
# tifffile
# tl2cgen
# treelite
# waterbodies (pyproject.toml)
# xarray
# zarr
numpy-groupies==0.11.2
# via flox
odc-algo==0.2.3
# via odc-stats
odc-apps-dc-tools==0.2.18
# via waterbodies (pyproject.toml)
odc-cloud[async]==0.2.5
# via
# odc-apps-dc-tools
# odc-stats
odc-dscache==0.2.3
# via
# odc-stats
# waterbodies (pyproject.toml)
odc-geo==0.4.8
# via
# odc-stac
# waterbodies (pyproject.toml)
odc-io==0.2.2
# via
# odc-apps-dc-tools
# odc-stats
odc-stac==0.3.10
# via odc-stats
odc-stats==1.0.57
# via waterbodies (pyproject.toml)
opt-einsum==3.4.0
# via xarray
packaging==24.1
# via
# black
# bokeh
# dask
# datacube
# distributed
# flox
# geoalchemy2
# geopandas
# h5netcdf
# lazy-loader
# matplotlib
# pims
# pooch
# pyogrio
# pytest
# rioxarray
# scikit-image
# tl2cgen
# treelite
# xarray
pandas==2.1.4
# via
# bokeh
# dask
# dask-expr
# dask-image
# datacube
# flox
# geopandas
# mapclassify
# odc-dscache
# odc-stac
# odc-stats
# seaborn
# waterbodies (pyproject.toml)
# xarray
parso==0.8.4
# via jedi
partd==1.4.2
# via dask
pathspec==0.12.1
# via black
pexpect==4.9.0
# via ipython
pillow==11.0.0
# via
# bokeh
# imageio
# matplotlib
# scikit-image
pims==0.7
# via dask-image
platformdirs==4.3.6
# via
# black
# pooch
# virtualenv
pluggy==1.5.0
# via pytest
pooch==1.8.2
# via xarray
pre-commit==4.0.1
# via
# waterbodies (pyproject.toml)
# xarray
prompt-toolkit==3.0.48
# via ipython
propcache==0.2.0
# via yarl
psutil==6.0.0
# via distributed
psycopg-binary==3.2.3
# via geopandas
psycopg2==2.9.10
# via
# datacube
# odc-dscache
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pyarrow==17.0.0
# via
# dask
# dask-expr
# geopandas
pycodestyle==2.12.1
# via flake8
pyflakes==3.2.0
# via flake8
pygments==2.18.0
# via ipython
pyogrio==0.10.0
# via geopandas
pyparsing==3.2.0
# via
# matplotlib
# rasterio
pyproj==3.7.0
# via
# datacube
# eodatasets3
# geopandas
# odc-geo
# rioxarray
pystac[validation]==1.11.0
# via
# eodatasets3
# odc-apps-dc-tools
# odc-stac
# odc-stats
# pystac-client
# rio-stac
pystac-client==0.8.4
# via odc-apps-dc-tools
pytest==8.3.3
# via
# pytest-cov
# pytest-env
# pytest-timeout
# pytest-xdist
# waterbodies (pyproject.toml)
# xarray
pytest-cov==5.0.0
# via xarray
pytest-env==1.1.5
# via xarray
pytest-timeout==2.3.1
# via xarray
pytest-xdist==3.6.1
# via xarray
python-dateutil==2.9.0.post0
# via
# botocore
# datacube
# matplotlib
# pandas
# pystac
# pystac-client
python-dotenv==1.0.1
# via waterbodies (pyproject.toml)
python-geohash==0.8.5
# via waterbodies (pyproject.toml)
python-rapidjson==1.20
# via eodatasets3
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# bokeh
# dask
# datacube
# distributed
# odc-apps-dc-tools
# pre-commit
rasterio==1.4.1
# via
# datacube
# eodatasets3
# odc-algo
# odc-stac
# odc-stats
# rio-stac
# rioxarray
# waterbodies (pyproject.toml)
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
requests==2.32.3
# via
# datadog
# folium
# pooch
# pystac-client
# urlpath
rio-stac==0.9.0
# via odc-apps-dc-tools
rioxarray==0.17.0
# via waterbodies (pyproject.toml)
rpds-py==0.20.0
# via
# jsonschema
# referencing
ruamel-yaml==0.18.6
# via
# datacube
# eodatasets3
ruamel-yaml-clib==0.2.8
# via ruamel-yaml
ruff==0.6.9
# via xarray
s3fs==2024.9.0
# via waterbodies (pyproject.toml)
s3transfer==0.10.3
# via boto3
scikit-image==0.24.0
# via
# odc-algo
# waterbodies (pyproject.toml)
scikit-learn==1.5.2
# via mapclassify
scipy==1.14.1
# via
# dask-image
# eodatasets3
# flox
# mapclassify
# scikit-image
# scikit-learn
# tl2cgen
# treelite
# xarray
seaborn==0.13.2
# via xarray
shapely==2.0.6
# via
# datacube
# eodatasets3
# geopandas
# odc-geo
six==1.16.0
# via
# asttokens
# python-dateutil
slicerator==1.1.0
# via pims
sortedcontainers==2.4.0
# via
# distributed
# hypothesis
sqlalchemy==1.4.54
# via
# alembic
# datacube
# geoalchemy2
# geopandas
# waterbodies (pyproject.toml)
stack-data==0.6.3
# via ipython
structlog==24.4.0
# via eodatasets3
tblib==3.0.0
# via distributed
tflite-runtime==2.14.0
# via odc-stats
threadpoolctl==3.5.0
# via scikit-learn
tifffile==2024.9.20
# via
# dask-image
# pims
# scikit-image
tl2cgen==1.0.0
# via odc-stats
tokenize-rt==6.0.0
# via black
tomli==2.0.2
# via
# black
# coverage
# mypy
# pytest
# pytest-env
toolz==1.0.0
# via
# dask
# datacube
# distributed
# flox
# odc-algo
# odc-apps-dc-tools
# odc-dscache
# odc-stac
# odc-stats
# partd
# waterbodies (pyproject.toml)
tornado==6.4.1
# via
# bokeh
# distributed
tqdm==4.66.5
# via
# odc-stats
# waterbodies (pyproject.toml)
traitlets==5.14.3
# via
# ipython
# matplotlib-inline
treelite==4.3.0
# via tl2cgen
typing-extensions==4.12.2
# via
# alembic
# black
# cattrs
# ipython
# multidict
# mypy
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via
# botocore
# distributed
# requests
urlpath==1.2.0
# via odc-apps-dc-tools
virtualenv==20.26.6
# via pre-commit
wcwidth==0.2.13
# via prompt-toolkit
wrapt==1.16.0
# via
# aiobotocore
# deprecat
xarray[accel,complete,dev,io,parallel,viz]==2024.9.0
# via
# datacube
# eodatasets3
# odc-algo
# odc-stac
# odc-stats
# rioxarray
# waterbodies (pyproject.toml)
xyzservices==2024.9.0
# via
# bokeh
# folium
# geopandas
yarl==1.15.4
# via aiohttp
zarr==2.18.3
# via xarray
zict==3.0.0
# via distributed
zipp==3.20.2
# via importlib-metadata
zstandard==0.23.0
# via odc-dscache