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AIX360

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PlanBilled and limitsPrice
AIX360Open-source library; no charge stated · No price or usage limits statedFree

As aix360.res.ibm.com lists them, read 14 Nov 2026. The maker's own page has the final word.

Facts from AIX360's own pages

Algorithm examples
Listed methods include LIME, SHAP, ProtoDash, and time-series explanation approaches. · github.com, 14 Nov 2026
Algorithms and metrics
Its Python package includes algorithms covering different explanation dimensions and proxy explainability metrics. · github.com, 14 Nov 2026
Audience and support
The toolkit provides data-scientist-oriented tutorials and directs contributors to a Slack community. · github.com, 14 Nov 2026
Data types
The toolkit supports tabular, text, image, and time-series data. · github.com, 14 Nov 2026
Dependencies
Optional algorithm-specific dependencies can require conflicting Python versions, so not every algorithm combination can share one environment. · github.com, 14 Nov 2026
Extensibility
The library was developed with extensibility in mind and invites contributions of algorithms, metrics, and use cases. · github.com, 14 Nov 2026
Guidance
The project provides guidance material and a taxonomy tree to help select explanation algorithms. · github.com, 14 Nov 2026
Install
AIX360 can be installed from PyPI using pip install aix360. · github.com, 14 Nov 2026
Platforms
The toolkit is tested on Windows, macOS, and Linux. · github.com, 14 Nov 2026
Project status
The project describes the library as still in development. · github.com, 14 Nov 2026
Purpose
AIX360 is an open-source Python toolkit for interpreting and explaining datasets and machine-learning models. · github.com, 14 Nov 2026
Python versions
Python requirements vary by algorithm; the installation table lists versions including 3.6 and 3.10. · github.com, 14 Nov 2026
Security and license
The repository links to a security policy and identifies an Apache-2.0 license. · github.com, 14 Nov 2026
Tutorials
The repository includes example and tutorial Jupyter notebooks. · github.com, 14 Nov 2026

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