head to head · open source
Vector vs client_python
Vector has 22,793 GitHub stars, 2,371 forks, 2,512 open issues and last shipped yesterday. client_python has 4,384 stars, 903 forks, 150 open issues and last shipped 6 days ago. Vector leads on adoption by 420% (22,793 vs 4,384 stars). Vector is written in Rust under MPL-2.0; client_python is written in Python under Apache-2.0. Vector has attracted 10% as many forks as stars, client_python 21%. 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 | client_python | |
|---|---|---|
| GitHub stars | ★ 23K | ★ 4.4K |
| License | MPL-2.0 | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-11-04 | 2026-10-30 |
| Forks | ⑂ 2.4K | ⑂ 903 |
| 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 client_python if
- You want the client_python feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and client_python 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 client_python
Prometheus Python Client The official Python client for Prometheus. Installation This package can be found on PyPI. Documentation Documentation is available on Links Releases: The releases page shows the history of the project and acts as a changelog. PyPI
read the full client_python overview →
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Frequently asked questions
Is Vector or client_python more popular?
Vector has 22,793 GitHub stars and client_python has 4,384. Vector has the larger community by that measure.
Are Vector and client_python free?
Both are open source. Vector is licensed under MPL-2.0 and client_python under Apache-2.0. Neither carries a licence fee.
What is the difference between Vector and client_python?
Vector is written in Rust and client_python 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 client_python?
Choose Vector if you want the larger community (22,793 stars) or its MPL-2.0 licence terms. Choose client_python if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.