requirements.txt

# Base
ipython>=5.5.0
ipywidgets>=7.6.5  # required by pycaret.internal.display
tqdm>=4.62.0  # required by pycaret.internal.display
numpy>=1.21, <1.24  # Can't >=1.24 because of np.float deprecation
pandas>=1.3.0, <1.6.0  # Can't >=1.6 because of sktime
jinja2>=1.2  # Required by pycaret.internal.utils --> pandas.io.formats.style
scipy<2.0.0  # Can't >=2.0.0 due to sktime
joblib>=1.2.0  # joblib<1.2.0 is vulnerable to Arbitrary Code Execution (https://github.com/advisories/GHSA-6hrg-qmvc-2xh8)
scikit-learn>=1.0
pyod>=1.0.8
imbalanced-learn>=0.8.1
category-encoders>=2.4.0
lightgbm>=3.0.0
numba>=0.55.0
requests>=2.27.1  # Required by pycaret.datasets
psutil>=5.9.0
markupsafe>=2.0.1  # Fixes Google Colab issue
importlib_metadata>=4.12.0
nbformat>=4.2.0
pickle5; python_version < "3.8"
cloudpickle
deprecation>=2.1.0
xxhash  # for faster hashing
wurlitzer; platform_system != 'Windows'

# Plotting
matplotlib>=3.3.0
scikit-plot>=0.3.7
yellowbrick>=1.4
plotly>=5.0.0
kaleido>=0.2.1
schemdraw>=0.14
plotly-resampler>=0.8.3.1

# Time-series
statsmodels>=0.12.1
sktime>=0.16.1
tbats>=1.1.0
pmdarima>=1.8.0,!=1.8.1,<3.0.0 # Matches sktime