What it does
Argilla helps AI engineers and subject experts work together to build high-quality datasets, the examples used to train and test AI models. People review and label data in a web interface, with filters and AI suggestions to speed things up.
It can be used for text classification, chatbots and document search, preference tuning of language models, and image models. You keep ownership of your data and models.
The README says the original authors have moved on: no new features are planned, but bug fixes and security updates will continue.
Who it's for
AI teams and domain experts who need to label data or gather human feedback.
Can I use it without coding?
With some setup. The easiest start is a free deployment on Hugging Face Spaces; using it fully involves its Python library. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Web browser, Cloud, Server
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Deploy your own Argilla space on Hugging Face using the free template linked in the README.
- Sign in to the Argilla web interface and create a dataset to start labelling.
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