modAL provides a modular active learning framework for Python built on top of scikit-learn.
AutoSKLearn
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

About AutoSKLearn
AutoSKLearn is an open-source automated machine learning toolkit that works as a drop-in replacement for a scikit-learn estimator. It includes AutoSklearnClassifier, which uses fit with training data and predict on test data.
Key features
- Drop-in replacement for a scikit-learn estimator
- AutoSklearnClassifier with fit and predict methods
- Python usage with training and test data
- Drop-in replacement for scikit-learn estimator workflow
- Open source under BSD-3-Clause license
- Includes code example for classifier use
AutoSKLearn at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
AutoSKLearn alternatives
Tools and sites you could use instead, ranked by how closely they match.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
nilearn provides Python tools for machine learning and neuroimaging analysis.
A Python package to assess and improve fairness of machine learning models.
Python package which helps to debug machine learning classifiers and explain their predictions.
An open source Python library for drift detection in machine learning systems.
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.












