Auto-sklearn
Open-source AutoML toolkit for scikit-learn workflows
Auto-sklearn automates algorithm selection and hyperparameter tuning for supervised learning tasks. Built on scikit-learn, it integrates into Python workflows and offers both free open-source and commercial cloud-hosted versions.
| Pricing from | Free (open-source) or Custom (commercial) |
| Best for | Python data scientists wanting automated algorithm selection within familiar scikit-learn environments |
| Website | automl.github.io/auto-sklearn |
Strengths and trade-offs
- Free open-source version eliminates cost whilst maintaining scikit-learn compatibility
- Sophisticated hyperparameter optimisation via Bayesian methods delivers high-quality models
- Requires Python programming; not truly no-code for end users
- Limited documentation and smaller community than enterprise platforms
Appears in
Alternatives to Auto-sklearn
 DataRobotThe Enterprise AI Platform | #1 in Top 10 AI No-Code ML Platforms | 95.0 |
 Google Vertex AIUnified machine learning platform integrating AutoML and custom training | #2 in Top 10 AI No-Code ML Platforms | 92.7 |
 Microsoft Azure Machine LearningComprehensive ML platform with designer, AutoML and MLOps capabilities | #3 in Top 10 AI No-Code ML Platforms | 90.3 |
 H2O AutoMLOpen-source and cloud-based AutoML for rapid model development | #4 in Top 10 AI No-Code ML Platforms | 88.0 |
 IBM Watson StudioCloud-native ML platform with visual tools and collaborative workspace | #5 in Top 10 AI No-Code ML Platforms | 85.7 |
 Teachable MachineFree browser-based tool for training simple image, audio and pose models | #6 in Top 10 AI No-Code ML Platforms | 83.3 |
Questions about Auto-sklearn
How much does Auto-sklearn cost?
Lister lists Auto-sklearn's pricing as: Free (open-source) or Custom (commercial).
Is Auto-sklearn free?
Yes. Its pricing reads: Free (open-source) or Custom (commercial).
Who is Auto-sklearn best for?
Auto-sklearn is best for python data scientists wanting automated algorithm selection within familiar scikit-learn environments.
Where does Auto-sklearn rank?
Auto-sklearn is ranked #9 in Top 10 AI No-Code ML Platforms (Lister Score 76.3).
What are the best alternatives to Auto-sklearn?
The closest alternatives on Lister are DataRobot (#1 in Top 10 AI No-Code ML Platforms), Google Vertex AI (#2 in Top 10 AI No-Code ML Platforms) and Microsoft Azure Machine Learning (#3 in Top 10 AI No-Code ML Platforms).
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