head to head · open source
Grafana vs Gigapipe
Grafana has 77,638 GitHub stars, 14,905 forks, 3,326 open issues and last shipped yesterday. Gigapipe has 1,722 stars, 105 forks, 16 open issues and last shipped yesterday. Grafana leads on adoption by 4,409% (77,638 vs 1,722 stars). Grafana is written in TypeScript under AGPL-3.0; Gigapipe is written in Go under AGPL-3.0. Grafana has attracted 19% as many forks as stars, Gigapipe 6%. Grafana was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (grafana, metrics, 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.
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Side by side
| Grafana | Gigapipe | |
|---|---|---|
| GitHub stars | ★ 78K | ★ 1.7K |
| License | AGPL-3.0 | AGPL-3.0 |
| Written in | TypeScript | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 15K | ⑂ 105 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Grafana if
- You weight community size — 78K 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
pick Gigapipe if
- You want the Gigapipe feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and Gigapipe fits your workflow better
About Grafana
The open source platform for monitoring and observability Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture: Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs. Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard. Explore Metrics: Explore your data through ad hoc queries and dynamic…
read the full Grafana overview →
About Gigapipe
Gigapipe: All In One Polyglot Observability formerly known as qryn :rocket: Gigapipe is a lighweight, multi standard, polyglot observability stack for Logs, Metrics , Traces and Profiling Polyglot : All in one, drop in compatible with Loki , Prometheus , Tempo , Pyroscope Familiar : Use stable & popular LogQL , PromQL , TempoQL languages to query and visualize data Voracious : Ingest using OpenTelemetry, Loki, Prometheus, Tempo, Influx, Datadog, Elastic + more Versatile : Explore data with qryn's built in Explorer and CLI or native Grafana datasource compatibility Secure : Retain total control of data, using…
read the full Gigapipe overview →
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Frequently asked questions
Is Grafana or Gigapipe more popular?
Grafana has 77,638 GitHub stars and Gigapipe has 1,722. Grafana has the larger community by that measure.
Are Grafana and Gigapipe free?
Both are open source. Grafana is licensed under AGPL-3.0 and Gigapipe under AGPL-3.0. Neither carries a licence fee.
What is the difference between Grafana and Gigapipe?
Grafana is written in TypeScript and Gigapipe in Go. 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 Gigapipe?
Choose Grafana if you want the larger community (77,638 stars) or its AGPL-3.0 licence terms. Choose Gigapipe if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.