head to head · open source

Grafana vs Logfire

Grafana has 76,791 GitHub stars, 14,749 forks, 3,326 open issues and last shipped yesterday. Logfire has 4,478 stars, 287 forks, 191 open issues and last shipped yesterday. Grafana leads on adoption by 1,615% (76,791 vs 4,478 stars). Grafana is written in TypeScript under AGPL-3.0; Logfire is written in Python under MIT. Grafana has attracted 19% as many forks as stars, Logfire 6%. 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 Logfire ★ 4.5K category Infrastructure & Operations

← all 8884 open source comparisons

Side by side

Grafana Logfire
GitHub stars ★ 77K ★ 4.5K
License AGPL-3.0 MIT
Written in TypeScript Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 15K ⑂ 287
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 Logfire if

  • You want the Logfire feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and Logfire fits your workflow better

full Logfire 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 Logfire

Pydantic Logfire is an observability platform for Python applications, with a focus on AI systems, LLM apps, and agents. The project lives in the Python and OpenTelemetry ecosystem. The repository contains the MIT licensed Python SDK and documentation, while the server application for recording and displaying data is closed source.

read the full Logfire overview →

More in Infrastructure & Operations

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

Related comparisons

uptime-kuma vs grafana worldmonitor vs grafana netdata vs grafana uptime-kuma vs worldmonitor uptime-kuma vs netdata worldmonitor vs netdata uptime-kuma vs huginn worldmonitor vs huginn immich vs paperless-ngx immich vs ceph immich vs filestash immich vs garage immich vs storj immich vs alarik immich vs spinifex paperless-ngx vs ceph mall vs prometheus mall vs nocodb mall vs etcd mall vs dbeaver mall vs orm prometheus vs nocodb mall vs milvus mall vs tidb

More Monitoring & Observability projects

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 Logfire more popular?

Grafana has 76,791 GitHub stars and Logfire has 4,478. Grafana has the larger community by that measure.

Are Grafana and Logfire free?

Both are open source. Grafana is licensed under AGPL-3.0 and Logfire under MIT. Neither carries a licence fee.

What is the difference between Grafana and Logfire?

Grafana is written in TypeScript and Logfire 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 Logfire?

Choose Grafana if you want the larger community (76,791 stars) or its AGPL-3.0 licence terms. Choose Logfire if its feature set, stack or MIT licence fits better. Both are self-hostable.