holistic-ai / holisticai
This is an open-source tool to assess and improve the trustworthiness of AI systems.
Why this job: works in the areas we cover, but does not say which job it does
What it does
An open-source library for assessing and improving the safety aspects of AI systems. It answers five questions a validation accuracy cannot: does the model treat groups differently, can its decisions be accounted for, does it hold up under shift and attack, what does it leak about its training data, and is it actually effective. Each answer is a metric you can compute in a few lines against a scikit-learn-shaped model — and for bias, a mitigator you can drop into the pipeline that produced it.
Get started
pip install holisticai- Maintenance
- Active
- Last commit 30 days ago
- Stars
- 113
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.0.14
- Released 20 months ago
- Built with
- Jupyter Notebook
- 91% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 79% closed
- 12 still open
- Pull requests
- 200 merged
- 10 waiting
- Releases
- 15
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Jupyter Notebook 91%
- Python 9%
- CSS <1%
Topics
- benchmark
- bias-mitigation
- efficacy
- explainability-metric
- explainable-ai
- machine-learning
- privacy
- responsible-ai
- robustness
Project record
- JobOther AI tools
- StatusListed
- Commits191
- Forks33
- Watching3
- Stars in 28 days0
- CreatedJan 26, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
