salesforce / OmniXAI
OmniXAI: A Library for eXplainable AI
Why this job: works in the areas we cover, but does not say which job it does
What it does
The latest version includes an experimental GPT explainer. This explainer leverages the outcomes produced by SHAP and MACE to formulate the input prompt for ChatGPT. Subsequently, ChatGPT analyzes these results and generates the corresponding explanations that provide developers with a clearer understanding of the rationale behind the model's predictions.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 975
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.3.2
- Released 2 years ago
- Built with
- Jupyter Notebook
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 62% closed
- 24 still open
- Pull requests
- 46 merged
- 0 waiting
- Releases
- 15
- 0 in the last year
- No contributing guide
- Security policy (opens in new tab)
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Jupyter Notebook 95%
- Python 5%
- CSS <1%
- JavaScript <1%
Topics
- explainable-ai
- explainable-ml
- interpretable-machine-learning
- machine-learning
- explanation
Project record
- JobOther AI tools
- StatusListed
- Commits698
- Forks108
- Watching15
- Stars in 28 days+1
- CreatedFeb 17, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026