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H2O.ai

Open-source machine learning platform for enterprise AI applications

DMI: 12#147 of 262HN 30d: 0 7,504 · 2,029 forks
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Limited data·Missing: npm downloads, npm dependentsAbout our data

Developer Adoption

Package downloads and ecosystem metrics, 30-day window

PyPI Downloads (30d)
230.7K
h2o
Active Contributors (30d)
3
Unique committers, 30-day window

Active Contributors Trend

Insufficient data for trend chart

Need at least 2 data points (currently have 1)

PyPI Download Trend

218,505224,383230,261236,139242,017Feb 21Feb 22Feb 23Feb 24Feb 25Feb 26
90-day trend-1.9%

pypi downloads declined from 235,125 to 230,693 (-1.9%) over the last 90 days.

Developer Community Metrics

Metrics computed from HN discussion, GitHub activity, and funding data.

HN vs Category0.0x category median (0 vs 2 median)
GitHub VelocityCommit velocity accelerating (12.0x vs 4-week average)
Funding Trajectory5 rounds in 96 months, accelerating, ($9M → $20M → $40M → $73M → $100M)

Category Benchmark

75 AI Infrastructure companies
230.7K downloads/mo82% below median
0Median: 1.3M2.5M+
Cite This Data

According to AI-Buzz, H2O.ai has 3 commits/week (accelerating), with 230,693 PyPI downloads in 30 days, with 3 active contributors in 30 days.

Source: https://www.ai-buzz.com/companies/h2o-ai?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data

Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →

About

Description

Open-source machine learning platform for enterprise AI applications

Estimated Company Size

250 - 500 employees

Website

h2o.ai

Details

Founded

2012

Open Source

7.5K
Stars
2.0K
Forks
ActiveJupyter Notebook
Last commit: 0 days ago
View on GitHub →

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Weekly AI Intelligence

Which AI companies are developers actually adopting? We track npm and PyPI downloads for 262+ companies. Get the biggest shifts weekly — before they show up in the news.