H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. Running H2O-3 in production environments? Upgrade to H2O-3 Secure: same code, APIs and pipelines. Learn more: h2o.ai/h2o-3/oss-vs-secure.

COMPARE H2O-3 OSS VS H2O-3 SECURE

H2O-3
Open Source

Machine learning for everyone

H2O-3 is a fully open source, in-memory machine learning platform. Free, Apache 2.0-licensed, and built for data scientists, ML engineers, and researchers who want to train and run ML models in Python, R, Java, Scala, or H2O Flow.

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Built for the workflows
you already use

Python

Works with pandas, scikit-learn, and Jupyter.

PIP INSTALL H2O

R

Works with the R ecosystem you know.

INSTALL.PACKAGES("H2O")

Java / Scala

Run H2O directly on the JVM and integrate into existing JVM applications.

H2O Flow

A browser-based notebook UI that runs on top of H2O-3 — no coding required.

QUICK START

Train your first AutoML model in minutes.

Follow these simple steps to install H2O-3 and train your first model.

Install h2O-3

pip install h2o

Train your first AutoML model:

import h2o
from h2o.automl import H2OAutoML

h2o.init()
data = h2o.import_file("your_data.csv")
aml = H2OAutoML(max_runtime_secs=60, seed=1)
aml.train(y="target_column", training_frame=data)
print(aml.leaderboard)

Full installation and getting-started guides for every supported environment are in the Documentation