captum has 545K monthly downloads and 6K GitHub stars. Version 0.9.0 supports Python 3.10+, first published in 2019.
It is actively maintained under a permissive license, last released in Apr 2026.
It is built on top of matplotlib, numpy and packaging. It is used by 95 tracked packages, including neuralprophet, transformers-interpret and grelu.
GitHub topics include interpretability, interpretable-ai and interpretable-ml.
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Dependencies
- matplotlib
- numpy
- packaging
- torch >=2.3
- tqdm
17 optional dependencies
- annoy[optional]
- black[test]
- captum[dev]
- flake8[test]
- openai[optional]
- parameterized[test]
- pyre-check-nightly[test]
- pytest[test]
- pytest-cov[test]
- scikit-learn[optional]
- sphinx[dev]
- sphinx-autodoc-typehints[dev]
- sphinxcontrib-katex[dev]
- torchtext[tutorials]
- torchvision[tutorials]
- ufmt[test]
- usort[test]
Used By
- neuralprophet
- transformers-interpret
- grelu
- spotpython
- azureml-automl-dnn-vision
- eir-dl
- bertnado
- flexynesis
- tpcav
- decima
- sccamel
- tsinterpret
- hiclip
- thinxai
- spacr
- nansense
- fundus-image-toolbox
- scimilarity
- pytorchautoforge
- transformers-visualizer
- inseq
- amuletml
- pydeepmapper
- matcha-metric
- spotgui
- xai4tsc
- kcai-data-sampling
- pymaise
- torchxai-tools
- spacr-nightly
- ferret-xai
- dnallm
- time-interpret
- beexai
- obzai
- xai-evals
- freqig
- physioex
- imgraph
- pyg-captum-shap
- sc-signature
- layer-wise-integrated-gradients
- slime-nlp
- proteinworkshop
- hpipy
- patchviz
- bias-lens
- meteors
- pnpxai
- tscaptum