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cleanlab

Finds mistakes in the data used to train AI, such as wrong labels, duplicates and odd outliers.

Research-backedNew this week

What it does

AI models learn from examples, and those examples often contain errors, like a photo of a cat labelled as a dog. cleanlab is a Python library that uses your existing model to spot these problems automatically.

It can check text, images, audio and table data for wrong labels, duplicates and unusual items, and it can help train models that cope better with messy data.

Its makers say it works with almost any model and is based on published research on a method called confident learning.

Who it's for

Data scientists and machine-learning engineers who want cleaner training data.

Can I use it without coding?

Developers only. It's a Python library used inside your own code. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Mac, Windows, Linux
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