SigNoz
Public facts onlyOpen source core, paid extras. The core is under an OSI-approved licence; some features ship in separately licensed commercial add-ons. Not fully open source. Source code
Monitors your servers and apps in one place, with logs, performance charts, request tracing, alerts and dashboards, including tracking of AI model calls and costs. (reviewed by BenchLytix)
Licence, summarised from its LICENSE file: MIT outside the ee/ and enterprise directories, which are under a commercial licence. LICENSE file, read 2026-10-13.
Running it yourself
We have no supporting services on record from this project's setup files, so we give no hosting estimate. Check the project's own requirements. You need a server, or an IT provider who runs one for you.
What this label rests on
Licence, last update and source code, from public records. We have not run it.
Facts and where they come from
| Fact | Value | Source |
|---|---|---|
| Licence identifiers | MIT + commercial add-ons | GitHub repositoryfetched 2026-10-13 |
| GitHub stars | 32,345 | GitHub repositoryfetched 2026-10-13 |
| Contributors | 218 | GitHub repositoryfetched 2026-10-13 |
| Last update to the code | 2026-10-13 | GitHub repositoryfetched 2026-10-13 |
| Archived | No | GitHub repositoryfetched 2026-10-13 |
| Current release | v0.145.0 (2026-10-05) | GitHub repositoryfetched 2026-10-13 |
| Listing description | SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps. | GitHub repositoryfetched 2026-10-13 |
Not on record: Commits by month, Docker Hub image, Platforms, Connectors in its directory, API documentation, Single sign-on documentation, External services it needs, Described as an alternative to, Website.
Licence class is derived from the licence identifiers above, never typed by hand. How
Editorial notes
- What it does
- Monitors your servers and apps in one place, with logs, performance charts, request tracing, alerts and dashboards, including tracking of AI model calls and costs.
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Goals it fits
- Monitor servers and apps, Monitor your AI app's model calls
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Ops burden
- 2 of 3 (app plus a database or queue)
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
- Known gaps
- The built-in AI assistant (Noz) is only on the paid cloud service. Access roles, custom data retention, ingestion controls, compliance and support are listed under the paid Enterprise plans. Apps must be set up to send their data before anything shows up.
- Drafted by AI from GitHub repository, reviewed by a person on 2026-10-13
Editorial, not measured. Every note was reviewed by BenchLytix before this record was published.