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Libre Translate

GitHub stats

GitHub stars
16,991
Forks
1,756
Open issues
127
Commits, last 12 months
176
Last commit
Sep 28, 2026
Latest release
v1.9.6May 26, 2026
Created
Dec 19, 2020

Data from the GitHub API, refreshed daily.

About Libre Translate

Machine Translation API. Libre Translate is open source under the AGPL-3.0 license and written mainly in Python, so you can read the code, run it on your own hardware and keep full control of your data.

The project has 16,991 stars and 1,756 forks on GitHub, with 176 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.

Topics

  • translation
  • translate
  • api
  • machine
  • translator

Repository preview

Libre Translate repository previewLibreTranslate/LibreTranslateOpen repository

FAQ

Libre Translate FAQ

Still curious? Email info@appsgit.com.

What is Libre Translate?

Libre Translate is a free, open-source app you can host on your own server, listed in our Utilities category. Machine Translation API. The source code lives at github.com/LibreTranslate/LibreTranslate, where it has 16,991 stars.

Is Libre Translate free and open source?

Yes. Libre Translate is open-source software released under the AGPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.

Can I run Libre Translate with Docker?

Yes. Libre Translate provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.

What are the best alternatives to Libre Translate?

Popular open-source alternatives to Libre Translate include Excalidraw, revealjs and penpot.

Is Libre Translate actively maintained?

The most recent commit to Libre Translate was on Sep 28, 2026 with 176 commits in the past twelve months. The latest release is v1.9.6, published May 26, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.