H2O AutoML
Open-source and cloud-based AutoML for rapid model development
H2O AutoML automates algorithm selection, hyperparameter tuning and feature engineering through an easy-to-use interface. Available as open-source (free) or on H2O Cloud, it runs locally or in the cloud and supports tabular, image and text data.
| Pricing from | Free (open-source) or Custom (H2O Cloud) |
| Best for | Data science teams wanting free, open-source AutoML with flexibility or cloud convenience |
| Website | www.h2o.ai |
Strengths and trade-offs
- Free open-source version eliminates cost barriers for experimentation and learning
- Fully reproducible models and explainability features suit regulated industries
- Documentation and community support lag behind enterprise platforms
- Requires more technical setup than fully managed cloud competitors
Appears in
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Questions about H2O AutoML
How much does H2O AutoML cost?
Lister lists H2O AutoML's pricing as: Free (open-source) or Custom (H2O Cloud).
Is H2O AutoML free?
Yes. Its pricing reads: Free (open-source) or Custom (H2O Cloud).
Who is H2O AutoML best for?
H2O AutoML is best for data science teams wanting free, open-source AutoML with flexibility or cloud convenience.
Where does H2O AutoML rank?
H2O AutoML is ranked #4 in Top 10 AI No-Code ML Platforms (Lister Score 88.0).
What are the best alternatives to H2O AutoML?
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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