Project Summary
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
H2O scales statistics, machine learning, and math over Big Data.
H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiasts & experts can explore, munge, model, and score datasets using a range of algorithms including advanced ones like Deep Learning. H2O is extensible so that developers can add data transformations and model algorithms of their choice and access them through all of those clients.
Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O allows online scoring and modeling in a single platform.
In a Nutshell, h2o-ml...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a large development team
with increasing Y-O-Y commits -
...
took an estimated 172 years of effort (COCOMO model)
starting with its first commit in March, 2014
ending with its most recent commit 7 days ago
Quick Reference
Project Security
Vulnerabilities per Version ( last 10 releases )
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
Did You Know...
-
...
55% of companies leverage OSS for production infrastructure
-
...
by exploring contributors within projects, you can view details on every commit they have made to that project
-
...
in 2016, 47% of companies did not have formal process in place to track OS code
-
...
check out hot projects on the Open Hub
30 Day SummaryAug 1 2026 — Aug 31 2026
|
12 Month SummaryAug 31 2025 — Aug 31 2026
|
