Auto-sklearn
by University of Freiburg (AutoML Group) · open-source · Last verified 2026-03-17
AutoML system built on scikit-learn that uses Bayesian optimization and meta-learning to automatically select models and hyperparameters. Winner of multiple AutoML challenges, Auto-sklearn is the academic gold standard for tabular AutoML research.
https://automl.github.io/auto-sklearn ↗B
B—Above Average
Adoption: C+Quality: AFreshness: BCitations: AEngagement: F
Specifications
- License
- BSD 3-Clause
- Pricing
- open-source
- Capabilities
- bayesian-hpo, meta-learning, ensemble-construction, feature-preprocessing, cross-validation
- Integrations
- sklearn, smac, pandas, numpy
- Use Cases
- tabular-classification, regression, automl-research, competition-ml, model-benchmarking
- API Available
- No
- SDK Languages
- python
- Deployment
- self-hosted
- Rate Limits
- N/A (open-source)
- Data Privacy
- Fully self-hosted; academic tool with no telemetry
- Tags
- automl, bayesian-optimization, scikit-learn, meta-learning, ensembling
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
61.1Adoption
58
Quality
83
Freshness
65
Citations
85
Engagement
0