head to head · open source
Grafana Loki vs ongrid
Grafana Loki has 29,120 GitHub stars, 4,173 forks, 1,620 open issues and last shipped yesterday. ongrid has 1,251 stars, 279 forks, 74 open issues and last shipped yesterday. Grafana Loki leads on adoption by 2,228% (29,120 vs 1,251 stars). Grafana Loki is written in Go under AGPL-3.0; ongrid is written in Go under AGPL-3.0. Grafana Loki has attracted 14% as many forks as stars, ongrid 22%. Grafana Loki was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (grafana), 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.
← all 20902 open source comparisons
Side by side
| Grafana Loki | ongrid | |
|---|---|---|
| GitHub stars | ★ 29K | ★ 1.3K |
| License | AGPL-3.0 | AGPL-3.0 |
| Written in | Go | Go |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 4.2K | ⑂ 279 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Grafana Loki if
- You weight community size — 29K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick ongrid if
- You want the ongrid 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 ongrid fits your workflow better
About Grafana Loki
Loki: like Prometheus, but for logs. Loki is a horizontally scalable, highly available, multi tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Compared to other log aggregation systems, Loki: does not do full text indexing on logs. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run. indexes and groups log streams using the same labels you’re already using with Prometheus, enabling you to…
read the full Grafana Loki overview →
About ongrid
Ongrid An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack or Telegram. Metrics · logs · traces · topology blast radius · root cause correlation · remote execution · alert driven auto investigation · RAG knowledge & code search · specialist agents & skills. English 简体中文 日本語 한국어 Español Français Deutsch Português Русский ☸️ Kubernetes lifecycle management is now available Enroll clusters through Edge, inspect workloads and events, manage upgrades, and connect Kubernetes resources to topology. Features • Install • Integrations • License Features 🤖…
read the full ongrid overview →
More in Infrastructure & Operations
Related comparisons
More Monitoring & Observability projects
Compare either of these against the rest of the Monitoring & Observability field.
Frequently asked questions
Is Grafana Loki or ongrid more popular?
Grafana Loki has 29,120 GitHub stars and ongrid has 1,251. Grafana Loki has the larger community by that measure.
Are Grafana Loki and ongrid free?
Both are open source. Grafana Loki is licensed under AGPL-3.0 and ongrid under AGPL-3.0. Neither carries a licence fee.
What is the difference between Grafana Loki and ongrid?
Grafana Loki is written in Go and ongrid 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 Loki or ongrid?
Choose Grafana Loki if you want the larger community (29,120 stars) or its AGPL-3.0 licence terms. Choose ongrid if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.