Strongest current signal
Package downloads
229.0K/30d
Tracked on PyPI
Open-source machine learning platform for enterprise AI applications
Best current coverage: 229.0K downloads/30d, 45 dependents, and 393 public repos.
Lead signals
Package pull and public code usage both show up clearly for H2O.ai.
Strongest current signal
229.0K/30d
Tracked on PyPI
45
Known dependents on PyPI
7.5K
Main repository stars
393
Public repositories importing tracked packages
Research Brief
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package pull and existing public code are the clearest current signals for H2O.ai.
Package pull
229.0K/30d
Tracked package pull on PyPI
Existing public code
393
Public repositories importing tracked packages
Downstream usage
45
Known dependents on PyPI
Engineering activity
1
GitHub contributors active in the last 30 days
Coverage includes npm and PyPI registries, GitHub, public code import detection, and recent company news where available. As of April 14, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to H2O.ai.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
H2O.ai provides an open-source and commercial AI platform that enables enterprises to build, deploy, and manage machine learning models. Their offerings, including Driverless AI and H2O AI Cloud, democratize AI by automating complex data science tasks, helping organizations accelerate their AI initiatives and derive business value from data.
Raised $241M total - DAI rank #83 suggests moderate developer adoption relative to funding.
Commonwealth Bank of Australia
Goldman Sachs, Ping An Global Voyager Fund
Nvidia, Wells Fargo
Nexus Venture Partners, Paxion Capital Partners, Transamerica Ventures
Nexus Venture Partners
5K PyPI
Open-source machine learning platform for enterprise AI applications
An end-to-end platform for building, deploying, and managing AI applications at scale.
An automated machine learning platform that helps data scientists build highly accurate models faster.
A deep learning training platform designed to accelerate the development of computer vision and natural language processing models.
A Python framework for rapidly building and deploying interactive AI applications and dashboards.
An open-source, distributed in-memory machine learning platform for big data.
Historical metrics for H2O.ai
H2O.ai: GitHub Stars down 0% (7.5K to 7.5K). Contributors remained flat.
| Date | PyPI Downloads | GitHub Stars | Contributors |
|---|---|---|---|
| Mar 16, 2026 | - | 7.5K | 1 |
| Mar 22, 2026 | 49.4K | - | - |
| Mar 23, 2026 | - | 7.5K | 1 |
| Mar 29, 2026 | 52.6K | - | - |
| Mar 30, 2026 | - | 7.5K | 2 |
| Apr 5, 2026 | 56.4K | - | - |
| Apr 6, 2026 | - | 7.5K | 1 |
| Apr 12, 2026 | 44.4K | - | - |
| Apr 13, 2026 | 4.6K | 7.5K | 0 |
| Apr 14, 2026 | - | 7.5K | 1 |