head to head · open source
Grafana vs evo
Grafana has 77,638 GitHub stars, 14,905 forks, 3,326 open issues and last shipped yesterday. evo has 4,354 stars, 803 forks, 7 open issues and last shipped 4 days ago. Grafana leads on adoption by 1,683% (77,638 vs 4,354 stars). Grafana is written in TypeScript under AGPL-3.0; evo is written in Python under GPL-3.0. Grafana has attracted 19% as many forks as stars, evo 18%. Grafana was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (metrics), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Grafana | evo | |
|---|---|---|
| GitHub stars | ★ 78K | ★ 4.4K |
| License | AGPL-3.0 | GPL-3.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 15K | ⑂ 803 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Grafana if
- You weight community size — 78K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick evo if
- You want the evo feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Python
- You evaluated both and evo fits your workflow better
About Grafana
The open source platform for monitoring and observability Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture: Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs. Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard. Explore Metrics: Explore your data through ad hoc queries and dynamic…
read the full Grafana overview →
About evo
evo Python package for the evaluation of odometry and SLAM This package provides executables and a small library for handling, evaluating and comparing the trajectory output of odometry and SLAM algorithms. Supported trajectory formats: 'TUM' trajectory files 'KITTI' pose files 'EuRoC MAV' (.csv groundtruth and TUM trajectory file) ROS and ROS2 bagfile with geometry msgs/PoseStamped , geometry msgs/TransformStamped , geometry msgs/PoseWithCovarianceStamped , geometry msgs/PointStamped or nav msgs/Odometry topics or TF messages See here for more infos about the formats. Why? evo has several advantages over other…
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Frequently asked questions
Is Grafana or evo more popular?
Grafana has 77,638 GitHub stars and evo has 4,354. Grafana has the larger community by that measure.
Are Grafana and evo free?
Both are open source. Grafana is licensed under AGPL-3.0 and evo under GPL-3.0. Neither carries a licence fee.
What is the difference between Grafana and evo?
Grafana is written in TypeScript and evo in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Grafana or evo?
Choose Grafana if you want the larger community (77,638 stars) or its AGPL-3.0 licence terms. Choose evo if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.