659 lines
11 KiB (Stored with Git LFS)
Text
659 lines
11 KiB (Stored with Git LFS)
Text
#
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# This file is autogenerated by pip-compile with Python 3.11
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# by the following command:
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#
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# pip-compile
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#
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--extra-index-url https://download.pytorch.org/whl/cpu
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absl-py==2.2.2
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# via
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# keras
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# tensorboard
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alembic==1.16.1
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# via mlflow
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altair==4.2.2
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# via
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# -r requirements.in
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# altair-data-server
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# altair-saver
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# altair-viewer
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# deneb
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altair-data-server==0.4.1
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# via
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# altair-saver
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# altair-viewer
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altair-saver==0.5.0
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# via deneb
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altair-viewer==0.4.0
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# via altair-saver
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annotated-types==0.7.0
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# via pydantic
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antlr4-python3-runtime==4.9.3
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# via omegaconf
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anyio==4.9.0
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# via starlette
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arviz==0.21.0
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# via sbi
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asttokens==3.0.0
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# via stack-data
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attrs==25.3.0
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# via
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# jsonschema
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# outcome
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# referencing
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# trio
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autograd==1.8.0
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# via sbibm
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bayesflow @ git+https://github.com/bayesflow-org/bayesflow.git@ac0461a08b792b4e222d83c3d1079aad466d7cc3
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# via -r requirements.in
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blinker==1.9.0
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# via flask
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cachetools==5.5.2
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# via
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# google-auth
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# mlflow-skinny
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certifi==2025.4.26
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# via
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# requests
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# selenium
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charset-normalizer==3.4.2
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# via requests
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click==8.2.0
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# via
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# dask
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# distributed
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# flask
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# mlflow-skinny
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# pyabc
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# uvicorn
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cloudpickle==3.1.1
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# via
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# dask
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# distributed
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# mlflow-skinny
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# pyabc
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comm==0.2.2
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# via ipykernel
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contourpy==1.3.2
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# via matplotlib
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cycler==0.12.1
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# via matplotlib
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cython==3.1.0
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# via gpy
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dask[distributed]==2025.5.0
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# via
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# distributed
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# elfi
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databricks-sdk==0.53.0
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# via mlflow-skinny
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debugpy==1.8.14
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# via ipykernel
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decorator==5.2.1
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# via
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# ipyparallel
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# ipython
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# paramz
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deneb==1.0.1
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# via sbibm
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deprecated==1.2.18
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# via
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# opentelemetry-api
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# opentelemetry-semantic-conventions
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diffeqtorch==1.0.0
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# via sbibm
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distributed==2025.5.0
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# via
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# dask
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# pyabc
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docker==7.1.0
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# via mlflow
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elfi==0.8.6
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# via sbibm
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entrypoints==0.4
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# via altair
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executing==2.2.0
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# via stack-data
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fastapi==0.115.12
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# via mlflow-skinny
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filelock==3.18.0
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# via torch
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flask==3.1.1
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# via mlflow
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flatlatex==0.15
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# via deneb
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fonttools==4.58.0
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# via matplotlib
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fsspec==2025.3.2
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# via
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# dask
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# torch
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future==1.0.0
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# via -r requirements.in
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gitdb==4.0.12
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# via gitpython
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gitpython==3.1.44
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# via
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# mlflow-skinny
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# pyabc
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google-auth==2.40.1
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# via databricks-sdk
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gpy==1.13.2
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# via elfi
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graphene==3.4.3
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# via mlflow
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graphql-core==3.2.6
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# via
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# graphene
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# graphql-relay
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graphql-relay==3.2.0
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# via graphene
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greenlet==3.2.2
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# via sqlalchemy
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grpcio==1.71.0
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# via tensorboard
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gunicorn==23.0.0
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# via mlflow
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h11==0.16.0
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# via
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# uvicorn
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# wsproto
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h5netcdf==1.6.1
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# via arviz
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h5py==3.13.0
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# via
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# h5netcdf
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# keras
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idna==3.10
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# via
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# anyio
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# requests
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# trio
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importlib-metadata==8.6.1
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# via
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# dask
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# mlflow-skinny
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# opentelemetry-api
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ipykernel==6.29.5
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# via ipyparallel
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ipyparallel==9.0.1
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# via elfi
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ipython==9.2.0
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# via
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# ipykernel
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# ipyparallel
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ipython-pygments-lexers==1.1.1
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# via ipython
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itsdangerous==2.2.0
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# via flask
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jabbar==0.0.16
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# via pyabc
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jax==0.6.0
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# via -r requirements.in
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jaxlib==0.6.0
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# via jax
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jedi==0.19.2
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# via ipython
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jinja2==3.1.6
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# via
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# altair
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# distributed
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# flask
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# mlflow
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# torch
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joblib==1.5.0
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# via
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# sbi
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# sbibm
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# scikit-learn
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jsonschema==4.23.0
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# via altair
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jsonschema-specifications==2025.4.1
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# via jsonschema
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julia==0.6.2
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# via diffeqtorch
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jupyter-client==8.6.3
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# via
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# ipykernel
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# ipyparallel
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jupyter-core==5.7.2
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# via
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# ipykernel
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# jupyter-client
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keras==3.9.2
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# via
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# -r requirements.in
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# bayesflow
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# mlflow-bayesflow-benchmark-plugin
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kiwisolver==1.4.8
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# via matplotlib
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locket==1.0.0
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# via
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# distributed
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# partd
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mako==1.3.10
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# via alembic
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markdown==3.8
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# via
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# mlflow
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# tensorboard
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markdown-it-py==3.0.0
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# via rich
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markupsafe==3.0.2
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# via
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# flask
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# jinja2
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# mako
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# werkzeug
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matplotlib==3.10.3
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# via
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# -r requirements.in
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# arviz
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# bayesflow
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# elfi
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# mlflow
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# nflows
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# pyabc
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# pyknos
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# sbi
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# sbibm
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# seaborn
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matplotlib-inline==0.1.7
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# via
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# ipykernel
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# ipython
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mdurl==0.1.2
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# via markdown-it-py
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mergedeep==1.3.4
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# via deneb
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ml-dtypes==0.5.1
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# via
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# jax
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# jaxlib
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# keras
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mlflow==2.22.0
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# via mlflow-bayesflow-benchmark-plugin
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mlflow-bayesflow-benchmark-plugin @ git+https://codeberg.org/vpratz/mlflow-bayesflow-benchmark-plugin.git@af16db3c0735b9f3260de89d4226b1ab82788244
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# via -r requirements.in
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mlflow-skinny==2.22.0
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# via
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# -r requirements.in
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# mlflow
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mpmath==1.3.0
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# via sympy
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msgpack==1.1.0
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# via distributed
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namex==0.0.9
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# via keras
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nest-asyncio==1.6.0
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# via ipykernel
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networkx==3.4.2
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# via
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# elfi
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# torch
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nflows==0.14
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# via pyknos
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numdifftools==0.9.41
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# via elfi
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numpy==1.26.4
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# via
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# altair
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# arviz
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# autograd
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# bayesflow
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# contourpy
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# elfi
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# gpy
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# h5py
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# jax
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# jaxlib
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# keras
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# matplotlib
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# ml-dtypes
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# mlflow
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# nflows
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# numdifftools
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# pandas
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# paramz
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# pyabc
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# pyknos
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# pyro-ppl
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# sbi
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# sbibm
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# scikit-learn
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# scipy
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# seaborn
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# tensorboard
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|
# xarray
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# xarray-einstats
|
|
omegaconf==2.3.0
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# via -r requirements.in
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|
opentelemetry-api==1.33.1
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|
# via
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# mlflow-skinny
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# opentelemetry-sdk
|
|
# opentelemetry-semantic-conventions
|
|
opentelemetry-sdk==1.33.1
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# via mlflow-skinny
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|
opentelemetry-semantic-conventions==0.54b1
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# via opentelemetry-sdk
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opt-einsum==3.4.0
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# via
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# diffeqtorch
|
|
# jax
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# pyro-ppl
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|
optree==0.15.0
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# via keras
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|
outcome==1.3.0.post0
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|
# via
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|
# trio
|
|
# trio-websocket
|
|
packaging==24.2
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|
# via
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# arviz
|
|
# dask
|
|
# distributed
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|
# gunicorn
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|
# h5netcdf
|
|
# ipykernel
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|
# keras
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|
# matplotlib
|
|
# mlflow-skinny
|
|
# tensorboard
|
|
# xarray
|
|
pandas==2.2.3
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|
# via
|
|
# altair
|
|
# arviz
|
|
# bayesflow
|
|
# mlflow
|
|
# mlflow-bayesflow-benchmark-plugin
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|
# pyabc
|
|
# sbibm
|
|
# seaborn
|
|
# vega-datasets
|
|
# xarray
|
|
paramz==0.9.6
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|
# via gpy
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|
parso==0.8.4
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|
# via jedi
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|
partd==1.4.2
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|
# via dask
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|
pexpect==4.9.0
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|
# via ipython
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|
pillow==11.2.1
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# via
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# matplotlib
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|
# sbi
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|
platformdirs==4.3.8
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|
# via jupyter-core
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|
portpicker==1.6.0
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|
# via altair-data-server
|
|
prompt-toolkit==3.0.51
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|
# via ipython
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|
protobuf==6.31.0
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|
# via
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|
# mlflow-skinny
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|
# tensorboard
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|
psutil==7.0.0
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|
# via
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# distributed
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# ipykernel
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|
# ipyparallel
|
|
# portpicker
|
|
ptyprocess==0.7.0
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|
# via pexpect
|
|
pure-eval==0.2.3
|
|
# via stack-data
|
|
pyabc==0.12.15
|
|
# via sbibm
|
|
pyabcranger==0.0.72
|
|
# via sbibm
|
|
pyarrow==19.0.1
|
|
# via mlflow
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|
pyasn1==0.6.1
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|
# via
|
|
# pyasn1-modules
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|
# rsa
|
|
pyasn1-modules==0.4.2
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|
# via google-auth
|
|
pydantic==2.11.4
|
|
# via
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|
# fastapi
|
|
# mlflow-bayesflow-benchmark-plugin
|
|
# mlflow-skinny
|
|
pydantic-core==2.33.2
|
|
# via pydantic
|
|
pygments==2.19.1
|
|
# via
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|
# ipython
|
|
# ipython-pygments-lexers
|
|
# rich
|
|
pyknos==0.16.0
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|
# via sbi
|
|
pyparsing==3.2.3
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|
# via matplotlib
|
|
pyro-api==0.1.2
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|
# via pyro-ppl
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|
pyro-ppl==1.9.1
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|
# via
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|
# sbi
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|
# sbibm
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|
pysocks==1.7.1
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|
# via urllib3
|
|
python-dateutil==2.9.0.post0
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|
# via
|
|
# graphene
|
|
# ipyparallel
|
|
# jupyter-client
|
|
# matplotlib
|
|
# pandas
|
|
pytz==2025.2
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|
# via pandas
|
|
pyyaml==6.0.2
|
|
# via
|
|
# dask
|
|
# distributed
|
|
# mlflow-skinny
|
|
# omegaconf
|
|
pyzmq==26.4.0
|
|
# via
|
|
# ipykernel
|
|
# ipyparallel
|
|
# jupyter-client
|
|
redis==6.1.0
|
|
# via pyabc
|
|
referencing==0.36.2
|
|
# via
|
|
# jsonschema
|
|
# jsonschema-specifications
|
|
regex==2024.11.6
|
|
# via flatlatex
|
|
requests==2.32.3
|
|
# via
|
|
# databricks-sdk
|
|
# docker
|
|
# mlflow-skinny
|
|
rich==14.0.0
|
|
# via keras
|
|
rpds-py==0.25.0
|
|
# via
|
|
# jsonschema
|
|
# referencing
|
|
rsa==4.9.1
|
|
# via google-auth
|
|
sbi==0.21.0
|
|
# via sbibm
|
|
sbibm==1.1.0
|
|
# via -r requirements.in
|
|
scikit-learn==1.6.1
|
|
# via
|
|
# elfi
|
|
# mlflow
|
|
# pyabc
|
|
# sbi
|
|
# sbibm
|
|
scipy==1.12.0
|
|
# via
|
|
# arviz
|
|
# bayesflow
|
|
# elfi
|
|
# gpy
|
|
# jax
|
|
# jaxlib
|
|
# mlflow
|
|
# numdifftools
|
|
# paramz
|
|
# pyabc
|
|
# sbi
|
|
# scikit-learn
|
|
# xarray-einstats
|
|
seaborn==0.13.2
|
|
# via bayesflow
|
|
selenium==4.32.0
|
|
# via altair-saver
|
|
six==1.17.0
|
|
# via
|
|
# gpy
|
|
# paramz
|
|
# python-dateutil
|
|
# tensorboard
|
|
smmap==5.0.2
|
|
# via gitdb
|
|
sniffio==1.3.1
|
|
# via
|
|
# anyio
|
|
# trio
|
|
sortedcontainers==2.4.0
|
|
# via
|
|
# distributed
|
|
# trio
|
|
sqlalchemy==2.0.41
|
|
# via
|
|
# alembic
|
|
# mlflow
|
|
# pyabc
|
|
sqlparse==0.5.3
|
|
# via mlflow-skinny
|
|
stack-data==0.6.3
|
|
# via ipython
|
|
starlette==0.46.2
|
|
# via fastapi
|
|
sympy==1.14.0
|
|
# via torch
|
|
tblib==3.1.0
|
|
# via distributed
|
|
tensorboard==2.19.0
|
|
# via
|
|
# nflows
|
|
# pyknos
|
|
# sbi
|
|
tensorboard-data-server==0.7.2
|
|
# via tensorboard
|
|
threadpoolctl==3.6.0
|
|
# via scikit-learn
|
|
toolz==1.0.0
|
|
# via
|
|
# altair
|
|
# dask
|
|
# distributed
|
|
# elfi
|
|
# partd
|
|
torch==2.7.0+cpu
|
|
# via
|
|
# -r requirements.in
|
|
# diffeqtorch
|
|
# nflows
|
|
# pyknos
|
|
# pyro-ppl
|
|
# sbi
|
|
# sbibm
|
|
tornado==6.5
|
|
# via
|
|
# altair-data-server
|
|
# distributed
|
|
# ipykernel
|
|
# ipyparallel
|
|
# jupyter-client
|
|
tqdm==4.67.1
|
|
# via
|
|
# -r requirements.in
|
|
# bayesflow
|
|
# ipyparallel
|
|
# nflows
|
|
# pyknos
|
|
# pyro-ppl
|
|
# sbi
|
|
# sbibm
|
|
traitlets==5.14.3
|
|
# via
|
|
# comm
|
|
# ipykernel
|
|
# ipyparallel
|
|
# ipython
|
|
# jupyter-client
|
|
# jupyter-core
|
|
# matplotlib-inline
|
|
trio==0.30.0
|
|
# via
|
|
# selenium
|
|
# trio-websocket
|
|
trio-websocket==0.12.2
|
|
# via selenium
|
|
typing-extensions==4.13.2
|
|
# via
|
|
# alembic
|
|
# anyio
|
|
# arviz
|
|
# fastapi
|
|
# graphene
|
|
# ipython
|
|
# mlflow-skinny
|
|
# opentelemetry-sdk
|
|
# optree
|
|
# pydantic
|
|
# pydantic-core
|
|
# referencing
|
|
# selenium
|
|
# sqlalchemy
|
|
# torch
|
|
# typing-inspection
|
|
typing-inspection==0.4.0
|
|
# via pydantic
|
|
tzdata==2025.2
|
|
# via pandas
|
|
urllib3[socks]==2.4.0
|
|
# via
|
|
# distributed
|
|
# docker
|
|
# requests
|
|
# selenium
|
|
uvicorn==0.34.2
|
|
# via mlflow-skinny
|
|
vega-datasets==0.9.0
|
|
# via deneb
|
|
wcwidth==0.2.13
|
|
# via prompt-toolkit
|
|
websocket-client==1.8.0
|
|
# via selenium
|
|
werkzeug==3.1.3
|
|
# via
|
|
# flask
|
|
# tensorboard
|
|
wrapt==1.17.2
|
|
# via deprecated
|
|
wsproto==1.2.0
|
|
# via trio-websocket
|
|
xarray==2025.4.0
|
|
# via
|
|
# arviz
|
|
# xarray-einstats
|
|
xarray-einstats==0.8.0
|
|
# via arviz
|
|
zict==3.0.0
|
|
# via distributed
|
|
zipp==3.21.0
|
|
# via importlib-metadata
|
|
|
|
# The following packages are considered to be unsafe in a requirements file:
|
|
# setuptools
|