head to head · open source
serviette vs OpenLLMetry
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. OpenLLMetry has 7,516 stars, 1,183 forks, 676 open issues and last shipped yesterday. serviette leads on adoption by 681% (58,732 vs 7,516 stars). serviette is written in Python under MIT; OpenLLMetry is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, OpenLLMetry 16%. serviette was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| serviette | OpenLLMetry | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 7.5K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick serviette if
- You weight community size — 59K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick OpenLLMetry if
- You want the OpenLLMetry feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and OpenLLMetry fits your workflow better
About serviette
serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…
read the full serviette overview →
About OpenLLMetry
Open source observability for your LLM application Get started » Slack Docs Website 🎉 New : Our semantic conventions are now part of OpenTelemetry! Join the discussion and help us shape the future of LLM observability. Looking for the JS/TS version? Check out OpenLLMetry JS. OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions Datadog, Honeycomb, and others. It's built and maintained by Traceloop under the Apache 2.0 license. The…
read the full OpenLLMetry overview →
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Frequently asked questions
Is serviette or OpenLLMetry more popular?
serviette has 58,732 GitHub stars and OpenLLMetry has 7,516. serviette has the larger community by that measure.
Are serviette and OpenLLMetry free?
Both are open source. serviette is licensed under MIT and OpenLLMetry under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and OpenLLMetry?
serviette is written in Python and OpenLLMetry 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, serviette or OpenLLMetry?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose OpenLLMetry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.