head to head · open source
Vector vs evo
Vector has 22,793 GitHub stars, 2,371 forks, 2,512 open issues and last shipped yesterday. evo has 4,356 stars, 805 forks, 7 open issues and last shipped 6 days ago. Vector leads on adoption by 423% (22,793 vs 4,356 stars). Vector is written in Rust under MPL-2.0; evo is written in Python under GPL-3.0. Vector has attracted 10% as many forks as stars, evo 18%. Vector 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
| Vector | evo | |
|---|---|---|
| GitHub stars | ★ 23K | ★ 4.4K |
| License | MPL-2.0 | GPL-3.0 |
| Written in | Rust | Python |
| Last push | 2026-11-04 | 2026-10-30 |
| Forks | ⑂ 2.4K | ⑂ 805 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Vector if
- You weight community size — 23K stars and counting
- You want the MPL-2.0 license terms
- Your stack matches Rust
- 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 Vector
Quickstart • Docs • Guides • Integrations • Chat • Download • Container Images • Rust Crate Docs What is Vector? Vector is a high performance, end to end (agent & aggregator) observability data pipeline that puts you in control of your observability data. [Collect][docs.sources], [transform][docs.transforms], and [route][docs.sinks] all your logs and metrics to any vendors you want today and any other vendors you may want tomorrow. Vector enables dramatic cost reduction, novel data enrichment, and data security where you need it, not where it is most convenient for your…
read the full Vector 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 Vector or evo more popular?
Vector has 22,793 GitHub stars and evo has 4,356. Vector has the larger community by that measure.
Are Vector and evo free?
Both are open source. Vector is licensed under MPL-2.0 and evo under GPL-3.0. Neither carries a licence fee.
What is the difference between Vector and evo?
Vector is written in Rust 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, Vector or evo?
Choose Vector if you want the larger community (22,793 stars) or its MPL-2.0 licence terms. Choose evo if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.