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Open Source AI Tools

Open source frameworks, libraries and runtimes for building and running AI, with a note on which older tools have gone quiet.

31 topics•5 categories•Updated October 2026

Frameworks & Libraries

9 entries

Build and train models.

Inference & Local Models

5 entries

Run models efficiently.

Vision, Speech & Generative Media

7 entries

Models and tools for images, audio and video.

MLOps & Applications

3 entries

Track, deploy and build with models.

Related Pages

7 entries

Neighbouring pages on this site.

Frequently Asked Questions

What are open source AI tools?

They are AI frameworks, libraries and runtimes released under open source licences, from deep learning frameworks such as PyTorch to inference engines such as vLLM and llama.cpp.

Is an open-weight model the same as open source?

Not necessarily. Many models publish weights under custom licences that restrict use, while an open source licence meets the Open Source Definition. Check each model's licence.

Which tools were removed from this page?

DALL·E was removed because OpenAI's current DALL·E models are not open source. DeepFaceLab was removed because its repository was archived in November 2024.

How do I tell if an open source project is still maintained?

Check the date of recent commits and releases, whether the repository is archived, and how quickly issues are answered. Cards on this page note projects that have gone quiet.

How current is this page?

Links and project status were checked in October 2026. Licences and project status change, so confirm the licence of any project you adopt. Sites that block automated checks are kept and may need a manual click.