head to head · open source
Vector vs client_python
Vector has 22,589 GitHub stars, 2,286 forks, 2,512 open issues and last shipped 2 days ago. client_python has 4,375 stars, 876 forks, 150 open issues and last shipped 5 days ago. Vector leads on adoption by 416% (22,589 vs 4,375 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 20%. 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 | 2026-09-18 | 2026-09-15 |
| Forks | ⑂ 2.3K | ⑂ 876 |
| 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
Vector is an open source observability data pipeline written in Rust and licensed under MPL 2.0. It operates as an end to end system for collecting, transforming, and routing logs and metrics within the cloud native monitoring ecosystem. The project is maintained by Datadog's Community Open Source Engineering team, and its topics include agent, cloud native, data transformation, datadog, etl, events, forwarder, logs, metrics, and monitoring.
read the full Vector overview →
About client_python
client python is the official Prometheus instrumentation library for Python applications, letting Python code expose metrics that a Prometheus server collects, and it is aimed at Python developers and reliability engineers who need their services measurable inside a Prometheus monitoring stack.
read the full client_python overview →
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Frequently asked questions
Is Vector or client_python more popular?
Vector has 22,589 GitHub stars and client_python has 4,375. 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 (22,589 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.