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Data science tools

CatBoost

A machine learning library for making predictions and rankings from table-style data.

Research-backedNew this week

What it does

CatBoost is a machine learning library based on gradient boosting, a method that combines many small decision trees to make predictions. It is used for tasks like sorting items into groups, predicting numbers and ranking results.

Its makers say it gives strong quality and fast predictions, and it handles category-type data, like city names, without much preparation. It can use graphics cards and run across many machines.

It can be used from Python, R, Java, C++ and the command line.

Who it's for

Data scientists and developers building prediction models from spreadsheet-like data.

Can I use it without coding?

Developers only. It's a code library for data scientists. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Mac, Windows, Linux, Server
Computer
An ordinary computer is fine
Privacy
Runs on your own device: your data stays with you
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