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Data science tools

H2O

An open-source platform for building machine-learning models on large amounts of data.

New this week

What it does

H2O is a machine-learning platform that runs in memory and can spread work across many computers. It includes common methods such as deep learning, gradient boosting, random forests and AutoML, which tries many models automatically to find a good one.

You can use it from Python, R, Scala or Java, or through Flow, its notebook-style web interface. It works with big-data systems like Hadoop and Spark.

Finished models can be downloaded and used in other software for making predictions.

Who it's for

Data scientists and engineers who build prediction models, especially on large datasets.

Can I use it without coding?

Developers only. Most people install it as a Python or R package and use it in code. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it