H2O AutoML
by H2O.ai · freemium · Last verified 2026-03-17
H2O AutoML is an open-source, distributed machine learning platform that automates the model training process. It systematically explores various algorithms and hyperparameters to produce a leaderboard of the best models. It supports both a Python/R API and a no-code Flow UI, making it accessible to both developers and business users.
https://h2o.ai/platform/h2o-automl ↗B
B—Above Average
Adoption: B+Quality: AFreshness: B+Citations: B+Engagement: F
Specifications
- License
- Apache 2.0
- Pricing
- freemium
- Capabilities
- automated-model-selection, automated-hyperparameter-tuning, automated-feature-engineering, stacked-ensemble-generation, model-explainability-with-shap, leaderboard-of-ranked-models, distributed-in-memory-computing, export-models-as-mojo-pojo, no-code-ui-flow
- Integrations
- python, r, apache-spark, hadoop-hdfs, amazon-s3, jdbc-connectors, tableau
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- Yes
- SDK Languages
- python, r, java
- Deployment
- self-hosted, cloud, kubernetes, docker, h2o-cloud
- Rate Limits
- Community: single node; Enterprise: unlimited cluster
- Data Privacy
- HIPAA and SOC 2 compliant on Enterprise; self-hosted available
- Tags
- automl, machine-learning, open-source, python, r, no-code, explainable-ai, stacked-ensembles, distributed-computing, tabular-data, enterprise
- Added
- 2026-03-17
- Completeness
- 0.95%
Index Score
63.8Adoption
70
Quality
85
Freshness
78
Citations
75
Engagement
0