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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
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

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