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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
# pip-compile --output-file=requirements.txt requirements.in
#
affine==2.3.1
# via
# rasterio
# rasterstats
aiohttp==3.9.3
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
aniso8601==9.0.1
# via flask-restx
annotated-types==0.6.0
# via pydantic
ansi2html==1.9.1
# via dash
anyio==3.6.1
# via jupyter-server
argon2-cffi==21.3.0
# via
# jupyter-server
# nbclassic
# notebook
argon2-cffi-bindings==21.2.0
# via argon2-cffi
asttokens==2.0.8
# via stack-data
async-timeout==4.0.3
# via aiohttp
attrs==22.1.0
# via
# aiohttp
# fiona
# jsonschema
# morecantile
# pytest
# rasterio
babel==2.10.3
# via jupyterlab-server
backcall==0.2.0
# via ipython
beautifulsoup4==4.11.1
# via
# deep-translator
# gdown
# geeadd
# nbconvert
black[jupyter]==22.8.0
# via -r requirements.in
bleach==5.0.1
# via
# nbconvert
# panel
blinker==1.7.0
# via flask
bokeh==3.3.4
# via
# hvplot
# panel
bqplot==0.12.42
# via
# geemap
# leafmap
branca==0.6.0
# via
# folium
# ipyleaflet
cachelib==0.9.0
# via flask-caching
cachetools==5.2.0
# via
# google-auth
# large-image
catboost==1.2.3
# via -r requirements.in
category-encoders==2.6.3
# via shapash
certifi==2022.6.15.1
# via
# fiona
# httplib2shim
# pyproj
# rasterio
# requests
cffi==1.15.1
# via argon2-cffi-bindings
cfgv==3.3.1
# via pre-commit
charset-normalizer==2.1.1
# via requests
cleanlab[all]==2.6.3
# via -r requirements.in
cleanvision==0.3.6
# via cleanlab
click==8.1.3
# via
# black
# click-plugins
# cligj
# fiona
# flask
# geocoder
# localtileserver
# rasterio
# uvicorn
# whitebox
click-plugins==1.1.1
# via
# fiona
# rasterio
cligj==0.7.2
# via
# fiona
# rasterio
# rasterstats
cloudpickle==3.0.0
# via
# fasttreeshap
# shap
colorcet==3.1.0
# via
# holoviews
# hvplot
colour==0.1.5
# via
# geemap
# leafmap
comm==0.2.1
# via ipywidgets
contourpy==1.0.7
# via
# bokeh
# matplotlib
cramjam==2.8.2
# via fastparquet
cycler==0.11.0
# via matplotlib
dash==2.14.2
# via
# dash-bootstrap-components
# dash-cytoscape
# dash-daq
# interpret-core
# shapash
dash-bootstrap-components==1.5.0
# via shapash
dash-core-components==2.0.0
# via
# dash
# interpret-core
# shapash
dash-cytoscape==0.3.0
# via interpret-core
dash-daq==0.5.0
# via shapash
dash-html-components==2.0.0
# via
# dash
# interpret-core
# shapash
dash-renderer==1.8.3
# via shapash
dash-table==5.0.0
# via
# dash
# interpret-core
# shapash
datasets==2.18.0
# via cleanlab
debugpy==1.6.3
# via ipykernel
decorator==5.1.1
# via
# ipython
# ratelim
deep-translator==1.11.4
# via -r requirements.in
defusedxml==0.7.1
# via nbconvert
dill==0.3.7
# via
# datasets
# interpret-core
# multiprocess
distlib==0.3.6
# via virtualenv
duckdb==0.9.2
# via
# -r requirements.in
# leafmap
earthengine-api==0.1.323
# via
# -r requirements.in
# ee-extra
# eerepr
# geeadd
# geemap
# sankee
ee-extra==0.0.15
# via geemap
eerepr==0.0.4
# via geemap
entrypoints==0.4
# via jupyter-client
executing==1.0.0
# via stack-data
fastcore==1.5.26
# via geowrangler
fastjsonschema==2.16.1
# via nbformat
fastparquet==0.8.3
# via -r requirements.in
fastprogress==1.0.3
# via geowrangler
fasttreeshap==0.1.6
# via -r requirements.in
ffmpeg-python==0.2.0
# via geemap
filelock==3.8.0
# via
# datasets
# gdown
# huggingface-hub
# torch
# triton
# virtualenv
fiona==1.8.21
# via
# geopandas
# rasterstats
flask==2.3.3
# via
# dash
# flask-caching
# flask-cors
# flask-restx
# localtileserver
flask-caching==2.1.0
# via localtileserver
flask-cors==4.0.0
# via localtileserver
flask-restx==1.3.0
# via localtileserver
folium==0.14.0
# via
# -r requirements.in
# geemap
# leafmap
fonttools==4.39.3
# via matplotlib
frozenlist==1.4.1
# via
# aiohttp
# aiosignal
fsspec[http]==2023.12.2
# via
# cleanvision
# datasets
# fastparquet
# huggingface-hub
# torch
future==0.18.2
# via
# earthengine-api
# ffmpeg-python
# geocoder
gdal==3.5.2
# via -r requirements.in
gdown==4.7.3
# via
# geemap
# leafmap
# segment-geospatial
geeadd==0.5.6
# via geemap
geemap==0.19.4
# via -r requirements.in
geocoder==1.38.1
# via geemap
geojson==3.1.0
# via
# geemap
# leafmap
geopandas==0.10.2
# via
# -r requirements.in
# geowrangler
# segment-geospatial
geowrangler==0.1.1
# via -r requirements.in
gevent==23.9.1
# via interpret-core
google-api-core==2.10.0
# via
# google-api-python-client
# google-cloud-core
# google-cloud-storage
google-api-python-client==1.12.11
# via earthengine-api
google-auth==2.11.0
# via
# earthengine-api
# google-api-core
# google-api-python-client
# google-auth-httplib2
# google-cloud-core
# google-cloud-storage
google-auth-httplib2==0.1.0
# via
# earthengine-api
# google-api-python-client
google-cloud-core==2.3.2
# via google-cloud-storage
google-cloud-storage==2.5.0
# via earthengine-api
google-crc32c==1.5.0
# via google-resumable-media
google-resumable-media==2.3.3
# via google-cloud-storage
googleapis-common-protos==1.56.4
# via google-api-core
googlemaps==4.10.0
# via -r requirements.in
graphviz==0.20.1
# via catboost
greenlet==3.0.3
# via gevent
h11==0.14.0
# via uvicorn
h3==3.7.4
# via geowrangler
holoviews==1.18.3
# via hvplot
httplib2==0.20.4
# via
# earthengine-api
# google-api-python-client
# google-auth-httplib2
# httplib2shim
httplib2shim==0.0.3
# via earthengine-api
huggingface-hub==0.20.2
# via
# datasets
# segment-geospatial
# skops
# timm
hvplot==0.9.2
# via -r requirements.in
identify==2.5.5
# via pre-commit
idna==3.3
# via
# anyio
# requests
# yarl
imagehash==4.3.1
# via cleanvision
importlib-metadata==4.12.0
# via
# dash
# flask
# jupyterlab-server
# markdown
# nbconvert
importlib-resources==5.12.0
# via
# flask-restx
# matplotlib
iniconfig==1.1.1
# via pytest
interpret==0.5.0
# via -r requirements.in
interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.0
# via
# interpret
# interpret-core
ipyevents==2.0.2
# via
# geemap
# leafmap
ipyfilechooser==0.6.0
# via
# geemap
# leafmap
# whiteboxgui
ipykernel==6.15.2
# via
# interpret-core
# nbclassic
# notebook
ipyleaflet==0.18.1
# via
# geemap
# leafmap
ipython==8.5.0
# via
# black
# interpret-core
# ipykernel
# ipywidgets
# jupyterlab
ipython-genutils==0.2.0
# via
# nbclassic
# notebook
ipytree==0.2.2
# via
# geemap
# whiteboxgui
ipywidgets==8.1.1
# via
# -r requirements.in
# bqplot
# ipyevents
# ipyfilechooser
# ipyleaflet
# ipytree
# leafmap
# sankee
# whiteboxgui
itsdangerous==2.1.2
# via flask
jedi==0.18.1
# via ipython
jinja2==3.1.2
# via
# bokeh
# branca
# flask
# folium
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbclassic
# nbconvert
# notebook
# torch
joblib==1.3.2
# via
# interpret-core
# scikit-learn
json5==0.9.10
# via jupyterlab-server
jsonschema==4.16.0
# via
# flask-restx
# jupyterlab-server
# nbformat
jupyter-client==7.3.5
# via
# ipykernel
# jupyter-server
# nbclassic
# nbclient
# notebook
jupyter-core==4.11.1
# via
# jupyter-client
# jupyter-server
# jupyterlab
# nbclassic
# nbconvert
# nbformat
# notebook
jupyter-server==1.18.1
# via
# jupyterlab
# jupyterlab-server
# nbclassic
# notebook-shim
jupyterlab==3.4.7
# via -r requirements.in
jupyterlab-pygments==0.2.2
# via nbconvert
jupyterlab-server==2.15.1
# via jupyterlab
jupyterlab-widgets==3.0.9
# via ipywidgets
kiwisolver==1.4.4
# via matplotlib
large-image[rasterio]==1.27.0
# via
# large-image
# large-image-source-rasterio
# localtileserver
large-image-source-rasterio==1.27.0
# via large-image
leafmap==0.30.1
# via segment-geospatial
lightgbm==4.3.0
# via -r requirements.in
linkify-it-py==2.0.3
# via panel
llvmlite==0.41.1
# via numba
localtileserver==0.7.2
# via segment-geospatial
loguru==0.6.0
# via
# -r requirements.in
# geowrangler
logzero==1.7.0
# via geeadd
lxml==4.9.1
# via nbconvert
mapclassify==2.5.0
# via -r requirements.in
mapie==0.8.3
# via -r requirements.in
markdown==3.6
# via panel
markdown-it-py==3.0.0
# via
# mdit-py-plugins
# panel
markupsafe==2.1.1
# via
# jinja2
# nbconvert
# werkzeug
matplotlib==3.7.1
# via
# -r requirements.in
# catboost
# cleanlab
# cleanvision
# geemap
# leafmap
# pycocotools
# salib
# seaborn
# segment-geospatial
# shapash
matplotlib-inline==0.1.6
# via
# ipykernel
# ipython
mdit-py-plugins==0.4.0
# via panel
mdurl==0.1.2
# via markdown-it-py
mistune==2.0.4
# via nbconvert
morecantile==5.3.0
# via geowrangler
mpmath==1.3.0
# via sympy
multidict==6.0.5
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via
# datasets
# salib
munch==2.5.0
# via fiona
mypy-extensions==0.4.3
# via black
nbclassic==0.4.3
# via jupyterlab
nbclient==0.6.8
# via nbconvert
nbconvert==7.0.0
# via
# jupyter-server
# nbclassic
# notebook
nbformat==5.4.0
# via
# jupyter-server
# nbclassic
# nbclient
# nbconvert
# notebook
# shapash
nest-asyncio==1.5.5
# via
# dash
# ipykernel
# jupyter-client
# nbclassic
# nbclient
# notebook
networkx==3.1
# via
# mapclassify
# torch
nodeenv==1.7.0
# via pre-commit
notebook==6.4.12
# via jupyterlab
notebook-shim==0.1.0
# via nbclassic
numba==0.58.1
# via
# fasttreeshap
# shap
# shapash
numpy==1.24.4
# via
# -r requirements.in
# bokeh
# bqplot
# catboost
# category-encoders
# cleanlab
# cleanvision
# contourpy
# datasets
# fastparquet
# fasttreeshap
# folium
# geemap
# geowrangler
# holoviews
# hvplot
# imagehash
# interpret-core
# large-image
# leafmap
# lightgbm
# mapclassify
# mapie
# matplotlib
# numba
# opencv-python
# pandas
# patsy
# pyarrow
# pycocotools
# pygeos
# pywavelets
# rasterio
# rasterstats
# salib
# sankee
# scikit-learn
# scipy
# seaborn
# shap
# shapash
# snuggs
# statsmodels
# torchvision
# xgboost
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==8.9.2.26
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.18.1
# via torch
nvidia-nvjitlink-cu12==12.3.101
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
opencv-python==4.9.0.80
# via segment-geospatial
packaging==21.3
# via
# bokeh
# datasets
# fastcore
# fastparquet
# fasttreeshap
# holoviews
# huggingface-hub
# hvplot
# ipykernel
# jupyter-server
# jupyterlab
# jupyterlab-server
# large-image-source-rasterio
# mapie
# matplotlib
# nbconvert
# plotly
# pytest
# shap
# skops
# statsmodels
palettable==3.3.3
# via large-image
pandas==1.4.4
# via
# -r requirements.in
# bokeh
# bqplot
# catboost
# category-encoders
# cleanlab
# cleanvision
# datasets
# fastparquet
# fasttreeshap
# geemap
# geopandas
# geowrangler
# holoviews
# hvplot
# interpret-core
# leafmap
# mapclassify
# panel
# salib
# sankee
# seaborn
# shap
# shapash
# statsmodels
pandocfilters==1.5.0
# via nbconvert
panel==1.3.8
# via
# holoviews
# hvplot
param==2.0.2
# via
# holoviews
# hvplot
# panel
# pyviz-comms
parso==0.8.3
# via jedi
pathspec==0.10.1
# via black
patsy==0.5.6
# via
# category-encoders
# statsmodels
pexpect==4.8.0
# via ipython
pickleshare==0.7.5
# via ipython
pillow==9.5.0
# via
# bokeh
# cleanvision
# geemap
# imagehash
# large-image
# matplotlib
# torchvision
platformdirs==2.5.2
# via
# black
# virtualenv
plotly==5.18.0
# via
# catboost
# dash
# interpret-core
# leafmap
# sankee
# shapash
pluggy==1.0.0
# via pytest
polars==0.20.13
# via -r requirements.in
pre-commit==2.20.0
# via -r requirements.in
prometheus-client==0.14.1
# via
# jupyter-server
# nbclassic
# notebook
prompt-toolkit==3.0.31
# via ipython
protobuf==4.21.5
# via
# google-api-core
# googleapis-common-protos
psutil==5.9.2
# via
# fasttreeshap
# interpret-core
# ipykernel
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.2
# via stack-data
py==1.11.0
# via pytest
pyarrow==15.0.1
# via
# -r requirements.in
# datasets
pyarrow-hotfix==0.6
# via datasets
pyasn1==0.4.8
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.2.8
# via google-auth
pycocotools==2.0.7
# via segment-geospatial
pycparser==2.21
# via cffi
pycrs==1.0.2
# via geemap
pydantic==2.6.3
# via morecantile
pydantic-core==2.16.3
# via pydantic
pygeos==0.14
# via -r requirements.in
pygments==2.13.0
# via
# ipython
# nbconvert
pyparsing==3.0.9
# via
# httplib2
# matplotlib
# packaging
# snuggs
pyproj==3.4.0
# via
# geopandas
# morecantile
# segment-geospatial
pyrsistent==0.18.1
# via jsonschema
pyshp==2.3.1
# via
# geemap
# leafmap
pysocks==1.7.1
# via requests
pystac==1.9.0
# via pystac-client
pystac-client==0.6.1
# via leafmap
pytest==7.1.3
# via -r requirements.in
python-box==7.1.1
# via
# geemap
# leafmap
python-dateutil==2.8.2
# via
# jupyter-client
# matplotlib
# pandas
# pystac
# pystac-client
python-geohash==0.8.5
# via -r requirements.in
pytz==2022.2.1
# via
# babel
# flask-restx
# pandas
pyviz-comms==3.0.1
# via
# holoviews
# panel
pywavelets==1.5.0
# via imagehash
pyyaml==6.0
# via
# bokeh
# datasets
# huggingface-hub
# pre-commit
# timm
pyzmq==23.2.1
# via
# ipykernel
# jupyter-client
# jupyter-server
# nbclassic
# notebook
rasterio==1.3.2
# via
# -r requirements.in
# large-image-source-rasterio
# rasterstats
# segment-geospatial
rasterstats==0.17.0
# via
# -r requirements.in
# geowrangler
ratelim==0.1.6
# via geocoder
requests[socks]==2.28.1
# via
# dash
# datasets
# deep-translator
# folium
# fsspec
# gdown
# geeadd
# geocoder
# geowrangler
# google-api-core
# google-cloud-storage
# googlemaps
# huggingface-hub
# interpret-core
# jupyterlab-server
# localtileserver
# panel
# pystac-client
# torchvision
retrying==1.3.4
# via dash
rsa==4.9
# via google-auth
rtree==1.2.0
# via -r requirements.in
safetensors==0.4.1
# via timm
salib==1.4.7
# via interpret-core
sankee==0.2.4
# via geemap
scikit-learn==1.4.0
# via
# -r requirements.in
# category-encoders
# cleanlab
# fasttreeshap
# geowrangler
# interpret-core
# mapclassify
# mapie
# shap
# shapash
# skops
scipy==1.9.1
# via
# catboost
# category-encoders
# fasttreeshap
# imagehash
# interpret-core
# lightgbm
# mapclassify
# mapie
# salib
# scikit-learn
# shap
# shapash
# statsmodels
# xgboost
scooby==0.9.2
# via
# geemap
# leafmap
# localtileserver
# server-thread
seaborn==0.13.2
# via -r requirements.in
segment-anything-hq==0.3
# via segment-geospatial
segment-anything-py==1.0
# via segment-geospatial
segment-geospatial==0.10.2
# via -r requirements.in
send2trash==1.8.0
# via
# jupyter-server
# nbclassic
# notebook
server-thread==0.2.0
# via localtileserver
shap==0.44.0