requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.8
# by the following command:
#
#    pip-compile --extra-index-url=https://packages.dea.ga.gov.au/ --output-file=requirements.txt requirements.in
#
--extra-index-url https://packages.dea.ga.gov.au/

affine==2.3.0
    # via
    #   -r requirements.in
    #   datacube
    #   odc-algo
    #   odc-geo
    #   rasterio
    #   rasterstats
aiohttp==3.8.1
    # via -r requirements.in
aiosignal==1.2.0
    # via aiohttp
argon2-cffi==21.3.0
    # via notebook
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
asttokens==2.0.5
    # via stack-data
async-timeout==4.0.2
    # via aiohttp
attrs==21.4.0
    # via
    #   aiohttp
    #   fiona
    #   jsonschema
    #   rasterio
backcall==0.2.0
    # via ipython
bleach==4.1.0
    # via nbconvert
boto3==1.21.16
    # via datacube
botocore==1.24.16
    # via
    #   -r requirements.in
    #   boto3
    #   datacube
    #   s3transfer
bottleneck==1.3.4
    # via datacube
branca==0.4.2
    # via
    #   dea-tools
    #   folium
cachetools==5.0.0
    # via
    #   datacube
    #   odc-geo
certifi==2021.10.8
    # via
    #   fiona
    #   pyproj
    #   rasterio
    #   requests
cffi==1.15.0
    # via argon2-cffi-bindings
cftime==1.6.0
    # via netcdf4
charset-normalizer==2.0.12
    # via
    #   aiohttp
    #   requests
ciso8601==2.2.0
    # via
    #   datacube
    #   dea-tools
click==8.0.4
    # via
    #   -r requirements.in
    #   click-plugins
    #   cligj
    #   datacube
    #   distributed
    #   fiona
    #   rasterio
click-plugins==1.1.1
    # via
    #   fiona
    #   rasterio
cligj==0.7.2
    # via
    #   fiona
    #   rasterio
    #   rasterstats
cloudpickle==2.0.0
    # via
    #   dask
    #   datacube
    #   distributed
cycler==0.11.0
    # via matplotlib
dask[array]==2022.2.1
    # via
    #   dask-image
    #   datacube
    #   dea-tools
    #   distributed
    #   odc-algo
dask-image==2021.12.0
    # via odc-algo
datacube[performance,s3]==1.8.6
    # via
    #   -r requirements.in
    #   dea-tools
    #   odc-algo
    #   odc-ui
dea-tools==0.2.8.dev26
    # via -r requirements.in
debugpy==1.5.1
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
distributed==2022.2.1
    # via
    #   datacube
    #   odc-algo
entrypoints==0.4
    # via
    #   jupyter-client
    #   nbconvert
executing==0.8.3
    # via stack-data
fiona==1.8.21
    # via
    #   -r requirements.in
    #   dea-tools
    #   geopandas
    #   rasterstats
folium==0.12.1.post1
    # via dea-tools
fonttools==4.29.1
    # via matplotlib
frozenlist==1.3.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2022.2.0
    # via dask
gdal==3.4.1
    # via dea-tools
geographiclib==1.52
    # via geopy
geopandas==0.10.2
    # via
    #   -r requirements.in
    #   dea-tools
geopy==2.2.0
    # via dea-tools
greenlet==1.1.2
    # via sqlalchemy
heapdict==1.0.1
    # via zict
idna==3.3
    # via
    #   requests
    #   yarl
imageio==2.16.1
    # via scikit-image
importlib-resources==5.4.0
    # via jsonschema
ipykernel==6.9.1
    # via
    #   ipywidgets
    #   notebook
ipyleaflet==0.15.0
    # via odc-ui
ipython==8.1.1
    # via
    #   ipykernel
    #   ipywidgets
    #   jupyter-ui-poll
    #   odc-ui
ipython-genutils==0.2.0
    # via
    #   ipywidgets
    #   nbformat
    #   notebook
ipywidgets==7.6.5
    # via
    #   ipyleaflet
    #   odc-ui
jedi==0.18.1
    # via ipython
jinja2==3.0.3
    # via
    #   branca
    #   distributed
    #   folium
    #   nbconvert
    #   notebook
jmespath==0.10.0
    # via
    #   boto3
    #   botocore
joblib==1.1.0
    # via scikit-learn
jsonschema==4.4.0
    # via
    #   datacube
    #   nbformat
jupyter-client==7.1.2
    # via
    #   ipykernel
    #   nbclient
    #   notebook
jupyter-core==4.9.2
    # via
    #   jupyter-client
    #   nbconvert
    #   nbformat
    #   notebook
jupyter-ui-poll==0.2.1
    # via odc-ui
jupyterlab-pygments==0.1.2
    # via nbconvert
jupyterlab-widgets==1.0.2
    # via ipywidgets
kiwisolver==1.3.2
    # via matplotlib
lark-parser==0.12.0
    # via datacube
locket==0.2.1
    # via partd
lxml==4.8.0
    # via
    #   dea-tools
    #   pytmd
markupsafe==2.1.0
    # via jinja2
matplotlib==3.5.1
    # via
    #   -r requirements.in
    #   dea-tools
    #   odc-ui
matplotlib-inline==0.1.3
    # via
    #   ipykernel
    #   ipython
mdutils==1.4.0
    # via -r requirements.in
mistune==0.8.4
    # via nbconvert
msgpack==1.0.3
    # via distributed
multidict==6.0.2
    # via
    #   aiohttp
    #   yarl
munch==2.5.0
    # via fiona
nbclient==0.5.12
    # via nbconvert
nbconvert==6.4.2
    # via notebook
nbformat==5.1.3
    # via
    #   ipywidgets
    #   nbclient
    #   nbconvert
    #   notebook
nest-asyncio==1.5.4
    # via
    #   ipykernel
    #   jupyter-client
    #   nbclient
    #   notebook
netcdf4==1.5.8
    # via
    #   datacube
    #   pytmd
networkx==2.7.1
    # via scikit-image
notebook==6.4.8
    # via widgetsnbextension
numexpr==2.8.1
    # via
    #   dea-tools
    #   odc-algo
numpy==1.21.4
    # via
    #   -r requirements.in
    #   bottleneck
    #   cftime
    #   dask
    #   dask-image
    #   datacube
    #   dea-tools
    #   folium
    #   imageio
    #   matplotlib
    #   netcdf4
    #   numexpr
    #   odc-algo
    #   odc-geo
    #   odc-ui
    #   pandas
    #   pims
    #   pygeos
    #   pytmd
    #   pywavelets
    #   rasterio
    #   rasterstats
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   snuggs
    #   tifffile
    #   xarray
odc-algo==0.2.2
    # via odc-ui
odc-geo==0.2.2
    # via -r requirements.in
odc-ui==0.2.1.dev3247
    # via
    #   -r requirements.in
    #   dea-tools
owslib==0.25.0
    # via dea-tools
packaging==21.3
    # via
    #   bleach
    #   dask
    #   distributed
    #   matplotlib
    #   numexpr
    #   scikit-image
    #   setuptools-scm
    #   xarray
pandas==1.4.1
    # via
    #   -r requirements.in
    #   datacube
    #   dea-tools
    #   geopandas
    #   odc-ui
    #   xarray
pandocfilters==1.5.0
    # via nbconvert
parso==0.8.3
    # via jedi
partd==1.2.0
    # via dask
pexpect==4.8.0
    # via ipython
pickleshare==0.7.5
    # via ipython
pillow==9.0.1
    # via
    #   imageio
    #   matplotlib
    #   scikit-image
pims==0.5
    # via dask-image
prometheus-client==0.13.1
    # via notebook
prompt-toolkit==3.0.28
    # via ipython
psutil==5.9.0
    # via distributed
psycopg2==2.9.3
    # via datacube
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.2
    # via stack-data
pycparser==2.21
    # via cffi
pygeos==0.13
    # via -r requirements.in
pygments==2.11.2
    # via
    #   ipython
    #   jupyterlab-pygments
    #   nbconvert
pyparsing==3.0.7
    # via
    #   matplotlib
    #   packaging
    #   snuggs
pyproj==3.3.0
    # via
    #   -r requirements.in
    #   datacube
    #   dea-tools
    #   geopandas
    #   odc-geo
    #   owslib
    #   pytmd
pyrsistent==0.18.1
    # via jsonschema
python-dateutil==2.8.2
    # via
    #   botocore
    #   datacube
    #   dea-tools
    #   jupyter-client
    #   matplotlib
    #   owslib
    #   pandas
    #   pytmd
python-geohash==0.8.5
    # via -r requirements.in
pytmd==1.0.9
    # via -r requirements.in
pytz==2021.3
    # via
    #   -r requirements.in
    #   dea-tools
    #   owslib
    #   pandas
pywavelets==1.2.0
    # via scikit-image
pyyaml==5.4.1
    # via
    #   -r requirements.in
    #   dask
    #   datacube
    #   distributed
    #   owslib
    #   pytmd
pyzmq==22.3.0
    # via
    #   jupyter-client
    #   jupyter-ui-poll
    #   notebook
rasterio==1.2.10
    # via
    #   -r requirements.in
    #   datacube
    #   dea-tools
    #   odc-algo
    #   odc-ui
    #   rasterstats
rasterstats==0.16.0
    # via dea-tools
requests==2.27.1
    # via
    #   dea-tools
    #   folium
    #   owslib
s3transfer==0.5.2
    # via boto3
scikit-image==0.19.2
    # via
    #   -r requirements.in
    #   dea-tools
    #   odc-algo
scikit-learn==1.1.2
    # via
    #   -r requirements.in
    #   dea-tools
scipy==1.7.1
    # via
    #   -r requirements.in
    #   dask-image
    #   dea-tools
    #   pytmd
    #   scikit-image
    #   scikit-learn
send2trash==1.8.0
    # via notebook
setuptools-scm==7.0.5
    # via pytmd
shapely==1.8.4
    # via
    #   -r requirements.in
    #   datacube
    #   dea-tools
    #   geopandas
    #   odc-geo
    #   rasterstats
simplejson==3.17.6
    # via rasterstats
six==1.16.0
    # via
    #   asttokens
    #   bleach
    #   fiona
    #   munch
    #   pims
    #   python-dateutil
    #   slicerator
slicerator==1.0.0
    # via pims
snuggs==1.4.7
    # via rasterio
sortedcontainers==2.4.0
    # via distributed
sqlalchemy==1.4.32
    # via datacube
stack-data==0.2.0
    # via ipython
tblib==1.7.0
    # via distributed
terminado==0.13.3
    # via notebook
testpath==0.6.0
    # via nbconvert
threadpoolctl==3.1.0
    # via scikit-learn
tifffile==2022.2.9
    # via scikit-image
tomli==2.0.1
    # via setuptools-scm
toolz==0.11.2
    # via
    #   dask
    #   datacube
    #   distributed
    #   odc-algo
    #   partd
tornado==6.1
    # via
    #   distributed
    #   ipykernel
    #   jupyter-client
    #   jupyter-ui-poll
    #   notebook
    #   terminado
tqdm==4.63.0
    # via
    #   -r requirements.in
    #   dea-tools
traitlets==5.1.1
    # via
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
    #   notebook
    #   traittypes
traittypes==0.2.1
    # via ipyleaflet
typing-extensions==4.3.0
    # via setuptools-scm
urllib3==1.26.8
    # via
    #   botocore
    #   requests
wcwidth==0.2.5
    # via prompt-toolkit
webencodings==0.5.1
    # via bleach
widgetsnbextension==3.5.2
    # via ipywidgets
xarray==2022.3.0
    # via
    #   -r requirements.in
    #   datacube
    #   dea-tools
    #   odc-algo
    #   odc-ui
xyzservices==2022.3.0
    # via ipyleaflet
yarl==1.7.2
    # via aiohttp
zict==2.1.0
    # via distributed
zipp==3.7.0
    # via importlib-resources

# The following packages are considered to be unsafe in a requirements file:
# setuptools