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auto-sklearn

automl/auto-sklearn

Automated Machine Learning with scikit-learn

GitHub Website

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026

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8.1k stars1.3k forksLast push Sep 15, 2026 Python BSD-3-Clause

Decision brief

auto-sklearn is an automated machine learning toolkit designed to automate hyperparameter optimization and function seamlessly with scikit-learn workflows.

Good fit when

When you need a drop-in replacement estimator for your existing scikit-learn pipeline that can handle the complexity of hyperparameter tuning automatically.
For scenarios where integration with scikit-learn ecosystem is crucial, as auto-sklearn extends familiar APIs and methods within this environment.

Avoid when

If extensive customization or control over individual machine learning components is required beyond what auto-sklearn's automation offers.
In cases requiring non-scikit-learn model ensembles, as the toolkit primarily supports models that are part of the scikit-earn library.

Observed Jul 17, 2026 · Source: enrich:decision_facts

auto-sklearn alternatives Trust report

auto-sklearn vs scikit-learn

Verify the decision

Maintenance and security

Full trust report

Maintenance: Active (14d since push); As of Sep 30, 2026
Provenance: Not a fork · Organization account; As of Sep 30, 2026
Security (OSV): 22 low (22 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install auto-sklearn

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Successor

scikit-learn

Auto-Sklearn builds upon scikit-learn to offer automated machine learning, providing a higher-level abstraction that simplifies the process of using and integrating with scikit-learn models.

predecessor

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

auto-sklearn is an automated machine learning toolkit that operates as a drop-in replacement for a scikit-learn estimator and focuses on automating the process of hyperparameter optimization.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 30, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 30, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 30, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 30, 2026)

```python import autosklearn.classification

Source link

README

auto sklearn auto sklearn is an automated machine learning toolkit and a drop in replacement for a scikit learn estimator. Find the documentation here . Quick links: Installation Guide Releases Manual Examples API auto sklearn in one image auto sklearn in four lines of code Relev...

For agents

This page has a .md twin and JSON over the API.

/tools/automl-auto-sklearn.md GET /api/graphcanon/tools/automl-auto-sklearn GET /api/graphcanon/graph?tool=automl-auto-sklearn