requirements.txt

#
# This file is autogenerated by pip-compile with python 3.8
# To update, run:
#
#    pip-compile --output-file=requirements.txt requirements.in
#
--extra-index-url https://packages.dea.ga.gov.au
--no-binary fiona
--no-binary rasterio
--no-binary shapely

affine==2.3.1
    # via
    #   datacube
    #   eodatasets3
    #   odc-algo
    #   rasterio
aiobotocore[awscli,boto3]==2.2.0
    # via
    #   -r requirements.in
    #   odc-cloud
aiohttp==3.8.1
    # via aiobotocore
aioitertools==0.10.0
    # via aiobotocore
aiosignal==1.2.0
    # via aiohttp
amqp==2.6.1
    # via kombu
async-timeout==4.0.2
    # via
    #   aiohttp
    #   redis
attrs==21.4.0
    # via
    #   aiohttp
    #   cattrs
    #   digitalearthau
    #   eodatasets3
    #   jsonschema
    #   rasterio
awscli==1.22.76
    # via aiobotocore
billiard==3.6.4.0
    # via celery
boltons==21.0.0
    # via
    #   digitalearthau
    #   eodatasets3
boto3==1.21.21
    # via
    #   aiobotocore
    #   datacube
    #   odc-cloud
botocore==1.24.21
    # via
    #   aiobotocore
    #   awscli
    #   boto3
    #   datacube
    #   eodatasets3
    #   odc-cloud
    #   s3transfer
cachetools==5.0.0
    # via datacube
cattrs==22.1.0
    # via eodatasets3
celery==4.4.7
    # via datacube
certifi==2021.10.8
    # via
    #   pyproj
    #   rasterio
    #   requests
cftime==1.6.0
    # via netcdf4
charset-normalizer==2.0.12
    # via
    #   aiohttp
    #   requests
ciso8601==2.2.0
    # via eodatasets3
click==8.1.2
    # via
    #   click-plugins
    #   cligj
    #   datacube
    #   digitalearthau
    #   distributed
    #   eodatasets3
    #   fc
    #   odc-apps-cloud
    #   odc-apps-dc-tools
    #   rasterio
click-plugins==1.1.1
    # via rasterio
cligj==0.7.2
    # via rasterio
cloudpickle==2.0.0
    # via
    #   dask
    #   datacube
    #   distributed
colorama==0.4.3
    # via
    #   dask-image
    #   datacube
    #   distributed
    #   odc-algo
dask-image==2021.12.0
    # via
    #   awscli
    #   digitalearthau
dask[array]==2022.4.0
    # via odc-algo
datacube[celery,s3]==1.8.6
    # via
    #   -r requirements.in
    #   digitalearthau
    #   eodatasets3
    #   fc
    #   odc-algo
    #   odc-apps-dc-tools
    #   wofs
dawg==0.8.0
    # via digitalearthau
defusedxml==0.7.1
    # via eodatasets3
deprecated==1.2.13
    # via redis
digitalearthau==20180116+437.g805c962
    # via fc
distributed==2022.4.0
    # via
    #   datacube
    #   odc-algo
docutils==0.15.2
    # via awscli
eodatasets3==0.26.1
    # via
    #   -r requirements.in
    #   digitalearthau
ephem==4.1.3
    # via wofs
exceptiongroup==1.0.0rc3
    # via cattrs
fc==1.3.9
    # via -r requirements.in
frozenlist==1.3.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2022.3.0
    # via
    #   -r requirements.in
    #   dask
    #   odc-apps-dc-tools
gdal==3.4.2
    # via
    #   digitalearthau
    #   nrt-predict
greenlet==1.1.2
    # via sqlalchemy
h5py==3.6.0
    # via -r requirements.in
hdstats==0.2.1
    # via -r requirements.in
heapdict==1.0.1
    # via zict
idna==3.3
    # via
    #   requests
    #   yarl
imageio==2.16.2
    # via scikit-image
importlib-resources==5.6.0
    # via jsonschema
jinja2==3.1.1
    # via distributed
jmespath==1.0.0
    # via
    #   boto3
    #   botocore
joblib==1.1.0
    # via
    #   nrt-predict
    #   scikit-learn
jsonschema==4.4.0
    # via
    #   datacube
    #   eodatasets3
kombu==4.6.11
    # via
    #   -r requirements.in
    #   celery
    #   datacube
lark-parser==0.12.0
    # via datacube
locket==0.2.1
    # via partd
lxml==4.8.0
    # via digitalearthau
markupsafe==2.1.1
    # via jinja2
msgpack==1.0.3
    # via distributed
multidict==6.0.2
    # via
    #   aiohttp
    #   yarl
netcdf4==1.5.8
    # via datacube
networkx==2.8
    # via scikit-image
nrt-predict==0.1.2
    # via -r requirements.in
numexpr==2.8.1
    # via
    #   fc
    #   odc-algo
numpy==1.22.3
    # via
    #   -r requirements.in
    #   cftime
    #   dask
    #   dask-image
    #   datacube
    #   eodatasets3
    #   fc
    #   h5py
    #   hdstats
    #   imageio
    #   netcdf4
    #   nrt-predict
    #   numexpr
    #   odc-algo
    #   pandas
    #   pims
    #   pywavelets
    #   rasterio
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   snuggs
    #   tifffile
    #   xarray
odc-algo==0.2.2
    # via -r requirements.in
odc-apps-cloud==0.2.1
    # via -r requirements.in
odc-apps-dc-tools==0.2.4
    # via -r requirements.in
odc-cloud[async]==0.2.1
    # via
    #   odc-apps-cloud
    #   odc-apps-dc-tools
odc-io==0.2.1
    # via
    #   odc-apps-cloud
    #   odc-apps-dc-tools
packaging==21.3
    # via
    #   dask
    #   distributed
    #   numexpr
    #   redis
    #   scikit-image
    #   xarray
pandas==1.4.2
    # via
    #   datacube
    #   fc
    #   xarray
partd==1.2.0
    # via dask
pillow==9.1.0
    # via
    #   imageio
    #   scikit-image
pims==0.5
    # via dask-image
psutil==5.9.0
    # via
    #   distributed
    #   nrt-predict
psycopg2==2.9.3
    # via datacube
pyasn1==0.4.8
    # via rsa
pydash==5.1.0
    # via digitalearthau
pyparsing==3.0.8
    # via
    #   packaging
    #   snuggs
pyproj==3.3.0
    # via
    #   datacube
    #   eodatasets3
pyrsistent==0.18.1
    # via jsonschema
pystac==1.2.0
    # via
    #   eodatasets3
    #   odc-apps-dc-tools
    #   pystac-client
    #   rio-stac
pystac-client==0.3.2
    # via odc-apps-dc-tools
python-dateutil==2.8.2
    # via
    #   botocore
    #   datacube
    #   digitalearthau
    #   pandas
    #   pystac
python-rapidjson==1.6
    # via eodatasets3
pytz==2022.1
    # via
    #   celery
    #   pandas
pywavelets==1.3.0
    # via scikit-image
pyyaml==5.4.1
    # via
    #   awscli
    #   dask
    #   datacube
    #   distributed
    #   nrt-predict
    #   odc-apps-dc-tools
rasterio==1.2.10
    # via
    #   datacube
    #   eodatasets3
    #   odc-algo
    #   rio-stac
redis==4.2.2
    # via datacube
requests==2.27.1
    # via
    #   nrt-predict
    #   pystac-client
    #   urlpath
rio-stac==0.4.0
    # via odc-apps-dc-tools
rsa==4.7.2
    # via awscli
ruamel-yaml==0.17.21
    # via eodatasets3
ruamel-yaml-clib==0.2.6
    # via ruamel-yaml
s3transfer==0.5.2
    # via
    #   awscli
    #   boto3
scikit-image==0.19.2
    # via
    #   nrt-predict
    #   odc-algo
scikit-learn==1.0.2
    # via nrt-predict
scipy==1.8.0
    # via
    #   dask-image
    #   eodatasets3
    #   hdstats
    #   scikit-image
    #   scikit-learn
    #   wofs
shapely==1.8.1.post1
    # via
    #   datacube
    #   eodatasets3
six==1.16.0
    # via
    #   pims
    #   python-dateutil
slicerator==1.1.0
    # via pims
snuggs==1.4.7
    # via rasterio
sortedcontainers==2.4.0
    # via distributed
sqlalchemy==1.4.35
    # via datacube
structlog==21.5.0
    # via
    #   digitalearthau
    #   eodatasets3
tblib==1.7.0
    # via distributed
threadpoolctl==3.1.0
    # via scikit-learn
tifffile==2022.4.8
    # via scikit-image
toolz==0.11.2
    # via
    #   dask
    #   datacube
    #   distributed
    #   odc-algo
    #   odc-apps-dc-tools
    #   partd
tornado==6.1
    # via distributed
typing-extensions==4.1.1
    # via aioitertools
urllib3==1.26.9
    # via
    #   botocore
    #   distributed
    #   requests
urlpath==1.2.0
    # via odc-apps-dc-tools
vine==1.3.0
    # via
    #   amqp
    #   celery
wofs==1.6.6
    # via -r requirements.in
wrapt==1.14.0
    # via
    #   aiobotocore
    #   deprecated
xarray==2022.3.0
    # via
    #   -r requirements.in
    #   datacube
    #   eodatasets3
    #   odc-algo
    #   wofs
yarl==1.7.2
    # via aiohttp
zict==2.1.0
    # via distributed
zipp==3.8.0
    # via importlib-resources

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