requirements-py3.12.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements-py3.12.txt --python-version 3.12
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   httpx
    #   jupyter-server
appnope==0.1.4
    # via ipykernel
argon2-cffi==25.1.0
    # via jupyter-server
argon2-cffi-bindings==25.1.0
    # via argon2-cffi
arrow==1.4.0
    # via isoduration
asttokens==3.0.1
    # via stack-data
async-lru==2.3.0
    # via jupyterlab
attrs==26.1.0
    # via
    #   jsonschema
    #   referencing
    #   visions
babel==2.18.0
    # via jupyterlab-server
beautifulsoup4==4.14.3
    # via nbconvert
bleach==6.3.0
    # via nbconvert
certifi==2026.4.22
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0
    # via argon2-cffi-bindings
charset-normalizer==3.4.7
    # via requests
comm==0.2.3
    # via
    #   ipykernel
    #   ipywidgets
contourpy==1.3.3
    # via matplotlib
cycler==0.12.1
    # via matplotlib
dacite==1.9.2
    # via fg-data-profiling
debugpy==1.8.20
    # via ipykernel
decorator==5.3.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
executing==2.2.1
    # via stack-data
fastjsonschema==2.21.2
    # via nbformat
fg-data-profiling==4.19.1
    # via risk-ai (pyproject.toml)
filetype==1.2.0
    # via fg-data-profiling
fonttools==4.63.0
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
h11==0.16.0
    # via httpcore
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via jupyterlab
idna==3.15
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
imagehash==4.3.2
    # via
    #   fg-data-profiling
    #   visions
ipykernel==7.2.0
    # via jupyterlab
ipython==9.13.0
    # via
    #   ipykernel
    #   ipywidgets
ipython-pygments-lexers==1.1.1
    # via ipython
ipywidgets==8.1.8
    # via risk-ai (pyproject.toml)
isoduration==20.11.0
    # via jsonschema
jedi==0.20.0
    # via ipython
jinja2==3.1.6
    # via
    #   fg-data-profiling
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
joblib==1.5.3
    # via
    #   phik
    #   scikit-learn
json5==0.14.0
    # via jupyterlab-server
jsonpointer==3.1.1
    # via jsonschema
jsonschema==4.26.0
    # via
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-client==8.8.0
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclient
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.12.1
    # via jupyter-server
jupyter-lsp==2.3.1
    # via jupyterlab
jupyter-server==2.18.2
    # via
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook-shim
jupyter-server-terminals==0.5.4
    # via jupyter-server
jupyterlab==4.5.7
    # via risk-ai (pyproject.toml)
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.28.0
    # via jupyterlab
jupyterlab-widgets==3.0.16
    # via ipywidgets
kiwisolver==1.5.0
    # via matplotlib
lark==1.3.1
    # via rfc3987-syntax
llvmlite==0.45.1
    # via numba
markupsafe==3.0.3
    # via
    #   jinja2
    #   nbconvert
matplotlib==3.10.0
    # via
    #   risk-ai (pyproject.toml)
    #   fg-data-profiling
    #   phik
    #   seaborn
    #   wordcloud
matplotlib-inline==0.2.2
    # via
    #   ipykernel
    #   ipython
minify-html==0.18.1
    # via fg-data-profiling
mistune==3.2.1
    # via nbconvert
multimethod==1.12
    # via
    #   fg-data-profiling
    #   visions
nbclient==0.10.4
    # via nbconvert
nbconvert==7.17.1
    # via jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.6.1
    # via visions
notebook-shim==0.2.4
    # via jupyterlab
numba==0.62.1
    # via fg-data-profiling
numpy==2.3.5
    # via
    #   contourpy
    #   fg-data-profiling
    #   imagehash
    #   matplotlib
    #   numba
    #   pandas
    #   patsy
    #   phik
    #   pywavelets
    #   scikit-learn
    #   scipy
    #   seaborn
    #   statsmodels
    #   visions
    #   wordcloud
packaging==26.2
    # via
    #   ipykernel
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   matplotlib
    #   nbconvert
    #   statsmodels
pandas==2.3.3
    # via
    #   risk-ai (pyproject.toml)
    #   fg-data-profiling
    #   phik
    #   seaborn
    #   statsmodels
    #   visions
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.7
    # via jedi
patsy==1.0.2
    # via statsmodels
pexpect==4.9.0
    # via ipython
phik==0.12.5
    # via fg-data-profiling
pillow==12.2.0
    # via
    #   imagehash
    #   matplotlib
    #   visions
    #   wordcloud
platformdirs==4.9.6
    # via jupyter-core
polars==1.40.1
    # via risk-ai (pyproject.toml)
polars-runtime-32==1.40.1
    # via polars
prometheus-client==0.25.0
    # via jupyter-server
prompt-toolkit==3.0.52
    # via ipython
psutil==7.2.2
    # via
    #   ipykernel
    #   ipython
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.3
    # via stack-data
puremagic==2.2.0
    # via visions
pycparser==3.0
    # via cffi
pydantic==2.13.4
    # via fg-data-profiling
pydantic-core==2.46.4
    # via pydantic
pygments==2.20.0
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   nbconvert
pyparsing==3.3.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   jupyter-client
    #   matplotlib
    #   pandas
python-json-logger==4.1.0
    # via jupyter-events
pytz==2026.2
    # via pandas
pywavelets==1.9.0
    # via imagehash
pyyaml==6.0.3
    # via
    #   fg-data-profiling
    #   jupyter-events
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
requests==2.34.2
    # via
    #   fg-data-profiling
    #   jupyterlab-server
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rfc3987-syntax==1.1.0
    # via jsonschema
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
scikit-learn==1.8.0
    # via risk-ai (pyproject.toml)
scipy==1.16.3
    # via
    #   fg-data-profiling
    #   imagehash
    #   phik
    #   scikit-learn
    #   statsmodels
seaborn==0.13.2
    # via fg-data-profiling
send2trash==2.1.0
    # via jupyter-server
setuptools==69.5.1
    # via
    #   risk-ai (pyproject.toml)
    #   jupyterlab
six==1.17.0
    # via
    #   python-dateutil
    #   rfc3339-validator
soupsieve==2.8.3
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
statsmodels==0.14.6
    # via fg-data-profiling
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
threadpoolctl==3.6.0
    # via scikit-learn
tinycss2==1.4.0
    # via bleach
tornado==6.5.5
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   terminado
tqdm==4.67.3
    # via fg-data-profiling
traitlets==5.15.0
    # via
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
typeguard==4.5.2
    # via fg-data-profiling
typing-extensions==4.15.0
    # via
    #   anyio
    #   beautifulsoup4
    #   pydantic
    #   pydantic-core
    #   referencing
    #   typeguard
    #   typing-inspection
typing-inspection==0.4.2
    # via pydantic
tzdata==2026.2
    # via
    #   arrow
    #   pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.7.0
    # via requests
visions==0.8.1
    # via fg-data-profiling
wcwidth==0.7.0
    # via prompt-toolkit
webcolors==25.10.0
    # via jsonschema
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.9.0
    # via jupyter-server
widgetsnbextension==4.0.15
    # via ipywidgets
wordcloud==1.9.6
    # via fg-data-profiling