Diun
Receive notifications when a container image is updated on a Docker registry.
- Monitoring & Status Pages
- Go
- MIT
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 4,955
- Forks
- 155
- Open issues
- 68
- Commits, last 12 months
- 383
- Last commit
- Sep 3, 2026
- Latest release
- v4.33.0May 30, 2026
- Created
- Dec 30, 2017
Data from the GitHub API, refreshed daily.
About Diun
Receive notifications when a container image is updated on a Docker registry. Diun is open source under the MIT license and written mainly in Go, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 4,955 stars and 155 forks on GitHub, with 383 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
- docker
- registry
- update
- watch
- notifications
- golang
- manifest
- automation
- update-checker
- swarm
Repository preview
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What is Diun?
Diun is a free, open-source app you can host on your own server, listed in our Monitoring & Status Pages category. Receive notifications when a container image is updated on a Docker registry. The source code lives at github.com/crazy-max/diun, where it has 4,955 stars.
Is Diun free and open source?
Yes. Diun is open-source software released under the MIT 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 Diun with Docker?
Yes. Diun 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 Diun?
Popular open-source alternatives to Diun include Uptime Kuma, Netdata and Grafana.
Is Diun actively maintained?
The most recent commit to Diun was on Sep 3, 2026 with 383 commits in the past twelve months. The latest release is v4.33.0, published May 30, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.