head to head · open source

Grafana vs evo

Grafana has 76,792 GitHub stars, 14,752 forks, 3,326 open issues and last shipped today. evo has 4,316 stars, 797 forks, 7 open issues and last shipped 10 days ago. Grafana leads on adoption by 1,679% (76,792 vs 4,316 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.

Grafana ★ 77K evo ★ 4.3K category Infrastructure & Operations

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Side by side

Grafana evo
GitHub stars ★ 77K ★ 4.3K
License AGPL-3.0 GPL-3.0
Written in TypeScript Python
Last push 2026-09-18 2026-09-08
Forks ⑂ 15K ⑂ 797
Self-hosting Yes Yes
Data ownership Your server Your server

pick Grafana if

  • You weight community size — 77K 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

full Grafana profile →

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

full evo profile →

About Grafana

Grafana is an open source observability platform for visualizing metrics, logs, and traces across diverse data sources. It runs in the infrastructure and operations ecosystem, designed for teams needing unified visibility into system behavior without vendor lock in. Built with TypeScript and Go, it provides a composable architecture that integrates with existing toolchains.

read the full Grafana overview →

About evo

evo is a Python package, released under the GPL 3.0 licence, that provides executables and a small library for handling, evaluating and comparing the trajectory output of odometry and SLAM algorithms, and it is aimed at robotics researchers and engineers who need to benchmark trajectories rather than maintain one evaluation script per dataset.

read the full evo overview →

More in Infrastructure & Operations

Immich ★ 114K Uptime Kuma ★ 91K worldmonitor ★ 87K mall ★ 85K NetData ★ 81K Elasticsearch ★ 78K

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Compare either of these against the rest of the Monitoring & Observability field.

Grafana vs Uptime Kuma Grafana vs worldmonitor Grafana vs NetData Grafana vs huginn Grafana vs Sentry Grafana vs SigNoz Grafana vs Grafana Loki Grafana vs beszel Grafana vs cilium Grafana vs Apache SkyWalking Grafana vs jaeger Grafana vs Vector

Frequently asked questions

Is Grafana or evo more popular?

Grafana has 76,792 GitHub stars and evo has 4,316. 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 (76,792 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.