On the recordRead 14 Nov 202612 facts
Alibi
Plans and prices
Alibi
Free
Source-available Python library · non-production use; limited production use for non-profit educational institutions subject to conditions
Read 14 Nov 2026 · github.com
On the record
- Confidence scores
- Trust Scores and Linearity Measure provide instance-specific measures of model confidence.github.com · read 14 Nov 2026
- Global explainers
- Global methods include ALE, partial dependence, partial dependence variance, and permutation importance.github.com · read 14 Nov 2026
- Install options
- The project documents installation through pip from PyPI or GitHub, and through conda/mamba.github.com · read 14 Nov 2026
- Integration
- The usage API is modeled on scikit-learn's initialize, fit, and explain steps.github.com · read 14 Nov 2026
- License
- The repository license is Business Source License 1.1, with the stated change license of Apache License 2.0 four years after a version's release.github.com · read 14 Nov 2026
- Local explainers
- Local methods include Anchors, counterfactuals, and Integrated Gradients.github.com · read 14 Nov 2026
- Methods
- It includes black-box and white-box, local and global explanation methods.github.com · read 14 Nov 2026
- Model compatibility
- The method table distinguishes black-box explainers needing a prediction function, differentiable black-box methods, and white-box methods requiring model access.github.com · read 14 Nov 2026
- Optional dependencies
- Ray can be installed for distributed explanation computation and SHAP support is available as an install option.github.com · read 14 Nov 2026
- Prototype method
- ProtoSelect provides a distilled dataset view to help construct a 1-nearest-neighbor interpretable classifier.github.com · read 14 Nov 2026
- Purpose
- Alibi is a Python library for machine-learning model inspection and interpretation, with explanation methods for classification and regression.github.com · read 14 Nov 2026
- Supported inputs
- Its listed explanation methods cover tabular, text, and image data.github.com · read 14 Nov 2026
