Glances
Cross-platform system monitoring tool with a terminal, web and API interface.
- Monitoring & Status Pages
- Python
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 33,740
- Forks
- 1,822
- Open issues
- 92
- Commits, last 12 months
- 935
- Last commit
- Oct 5, 2026
- Latest release
- v4.5.7Sep 26, 2026
- Created
- Dec 4, 2011
Data from the GitHub API, refreshed daily.
About Glances
Cross-platform system monitoring tool with a terminal, web and API interface. Glances is open source 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 33,740 stars and 1,822 forks on GitHub, with 935 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
- python
- multi-platform
- monitoring
- system
- terminal
- web
- restful
- restful-api
Repository preview
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What is Glances?
Glances is a free, open-source app you can host on your own server, listed in our Monitoring & Status Pages category. Cross-platform system monitoring tool with a terminal, web and API interface. The source code lives at github.com/nicolargo/glances, where it has 33,740 stars.
Is Glances free and open source?
Yes. Glances is open source and its code is public on GitHub, so you can self-host it at no cost. The repository does not declare a standard license, so read its terms before using it commercially.
Can I run Glances with Docker?
Yes. Glances 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 Glances?
Popular open-source alternatives to Glances include Uptime Kuma, Netdata and Grafana.
Is Glances actively maintained?
The most recent commit to Glances was on Oct 5, 2026 with 935 commits in the past twelve months. The latest release is v4.5.7, published Sep 26, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.