Loomio
Collaborative decision-making tool that makes it easy for anyone to participate in decisions which affect them.
- Social & Forums
- Ruby
- AGPL-3.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 2,612
- Forks
- 705
- Open issues
- 82
- Commits, last 12 months
- 2,786
- Last commit
- Oct 6, 2026
- Latest release
- v3.10.0Oct 2, 2026
- Created
- Nov 8, 2011
Data from the GitHub API, refreshed daily.
About Loomio
Collaborative decision-making tool that makes it easy for anyone to participate in decisions which affect them. Loomio is open source under the AGPL-3.0 license and written mainly in Ruby, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 2,612 stars and 705 forks on GitHub, with 2,786 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.
Repository preview
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What is Loomio?
Loomio is a free, open-source app you can host on your own server, listed in our Social & Forums category. Collaborative decision-making tool that makes it easy for anyone to participate in decisions which affect them. The source code lives at github.com/loomio/loomio, where it has 2,612 stars.
Is Loomio free and open source?
Yes. Loomio 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 Loomio with Docker?
Yes. Loomio 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 Loomio?
Popular open-source alternatives to Loomio include Mastodon, Discourse and Flarum.
Is Loomio actively maintained?
The most recent commit to Loomio was on Oct 6, 2026 with 2,786 commits in the past twelve months. The latest release is v3.10.0, published Oct 2, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.