Autodistill
Roboflow's open-source library that uses large foundation models to auto-label images and then trains small, deployable detection or classification models with no manual labeling.
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Use cases
About Autodistill
Autodistill is listed in our vision category and is aimed at builders. Roboflow's open-source library that uses large foundation models to auto-label images and then trains small, deployable detection or classification models with no manual labeling. Pricing, as the maker states it: Free, open source (Apache-2.0). Maturity: Active. We last checked the official link on 2026-10-17.
What is Autodistill?
Autodistill uses big, slower foundation models to train small, faster supervised models, taking you from unlabeled images to a deployable model.
Our listing notes it is Roboflow's open-source library, Apache-2.0.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: docs.autodistill.com.
Who is Autodistill for?
Developers building custom detection or classification models quickly.
Autodistill at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: autodistill/autodistill · 2,793 stars (as of Oct 21, 2026)
Key features
- Auto-labeling with foundation models
- Trains small deployable models
- Open source
Autodistill FAQ
What is Autodistill?
Autodistill uses big, slower foundation models to train small, faster supervised models, taking you from unlabeled images to a deployable model.
Who is Autodistill for?
Developers building custom detection or classification models quickly.
Is Autodistill free?
Autodistill's pricing, as the maker states it: Free, open source (Apache-2.0). Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is Autodistill open source?
Yes. Autodistill is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to Autodistill?
Similar tools include Encord Agents, Bubbaloop, Viso Now, CVAT AI Agents, Ultralytics Agents and Valossa Assistant MCP.
Autodistill ratings and reviews
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Autodistill alternatives
Other vision tools in our directory. See all vision tools →
Encord Agents
Encord's agents that plug foundation models or your own models into labeling workflows to pre-label, segment, track, route and QA image, video and multimodal data, with a no-code catalog and an open-source SDK.
Bubbaloop
Kornia's open-source single-binary agent runtime with an MCP server that orchestrates cameras, sensors and robots on Jetson, Raspberry Pi or Linux through chat.
Viso Now
Describe what a camera should watch for in plain language and it builds a live vision app with detection logic, alerts and integrations, no datasets or training needed.
CVAT AI Agents
CVAT feature that runs your own detection, segmentation or tracking model as an agent on your infrastructure and feeds its auto-annotations back into CVAT tasks.
Ultralytics Agents
Visual canvas in Ultralytics Platform that chains YOLO models, vision-language models, conditions and actions like Slack alerts, plus official agent skills that let coding agents train, tune and export YOLO models.
Valossa Assistant MCP
EU-based video AI MCP server that lets Claude and other agents upload and search videos and pull transcripts, visual scenes, soundbites and ready-made clips.
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