Python package which helps to debug machine learning classifiers and explain their predictions.
InterpretML
InterpretML fits interpretable models and explains results from black-box machine learning systems.

About InterpretML
InterpretML is the interpretml/interpret repository on GitHub. Its stated purpose is to fit interpretable models and explain blackbox machine learning. The repository lists documentation at interpret.ml/docs and is distributed under an MIT license.
Pricing is not clearly stated.
InterpretML at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
InterpretML alternatives
Tools and sites you could use instead, ranked by how closely they match.
An open source Python library for drift detection in machine learning systems.
A Python package to assess and improve fairness of machine learning models.
Manifold provides visual debugging for machine learning models without depending on a specific model type.
DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.
19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.
Popular in AI Data & Analytics
Well-known listings from the same topic.
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












