head to head · open source

Sentry vs Vector

Sentry has 44,792 GitHub stars, 4,854 forks, 2,265 open issues and last shipped yesterday. Vector has 22,579 stars, 2,286 forks, 2,512 open issues and last shipped yesterday. Sentry leads on adoption by 98% (44,792 vs 22,579 stars). Sentry is written in Python under a custom or non-standard licence; Vector is written in Rust under MPL-2.0. Sentry has attracted 11% as many forks as stars, Vector 10%. Sentry was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (hacktoberfest, monitoring), 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.

Sentry ★ 45K Vector ★ 23K category Infrastructure & Operations

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Side by side

Sentry Vector
GitHub stars ★ 45K ★ 23K
License Custom / other MPL-2.0
Written in Python Rust
Last push 2026-09-17 2026-09-17
Forks ⑂ 4.9K ⑂ 2.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Sentry if

  • You weight community size — 45K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Sentry profile →

pick Vector if

  • You want the Vector feature set and don't need the biggest community
  • You prefer the MPL-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and Vector fits your workflow better

full Vector profile →

About Sentry

Sentry is an open source debugging platform for detecting, tracing, and fixing software issues in real time. It lives in the developer infrastructure ecosystem and provides error tracking and performance monitoring across languages, frameworks, and runtime environments.

read the full Sentry overview →

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 →

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.

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

Frequently asked questions

Is Sentry or Vector more popular?

Sentry has 44,792 GitHub stars and Vector has 22,579. Sentry has the larger community by that measure.

Are Sentry and Vector free?

Both are open source. Sentry has no licence declared in this registry, and Vector is licensed under MPL-2.0. Both are free to self-host.

What is the difference between Sentry and Vector?

Sentry is written in Python and Vector in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Sentry or Vector?

Choose Sentry if you want the larger community (44,792 stars) or its Custom / other licence terms. Choose Vector if its feature set, stack or MPL-2.0 licence fits better. Both are self-hostable.