H2O
Reviews
Star rating
Rank in Artificial Neural Network
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 54.2% |
| Mid-Market | 16.7% |
| Enterprise | 29.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
Excellent framework and application
“Excellent support for commercial product Driverless AI. Rapid iteration. Performance is generally better than one can be achieved in code.”
Workflows for quick ML prototyping
“They developed top-quality open source tools, including the H2O-3 and AutoML families. I do not have a license for their Driverless AI, but my experience with it through tutorials and other demos has been superb. I should mention that their efforts to develop frameworks for ML in”
h2o is my personal data scientist
“h2o offers a well validated, fully automated, rigorous machine learning pipeline including state of the art model interpretation allowing for prediction and inferences.”