head to head · open source
serviette vs LangWatch
serviette has 58,735 GitHub stars, 1,543 forks, 8 open issues and last shipped 18 days ago. LangWatch has 5,003 stars, 424 forks, 939 open issues and last shipped yesterday. serviette leads on adoption by 1,074% (58,735 vs 5,003 stars). serviette is written in Python under MIT; LangWatch is written in TypeScript under Apache-2.0. serviette has attracted 3% as many forks as stars, LangWatch 8%. LangWatch 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 | LangWatch | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 5.0K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-16 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 424 |
| 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 LangWatch if
- You want the LangWatch feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and LangWatch 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 LangWatch
Website · Docs · Discord · Self hosting Why LangWatch? The platform for LLM evaluations and AI agent testing. We help teams test, simulate, evaluate, and monitor LLM powered agents end to end — before release and in production. Built for teams that need regression testing, simulations, and production observability without building custom tooling. End to end agent simulations Run realistic scenarios against your full stack (tools, state, user simulator, judge) and pinpoint where your agents break, and why? down to each decision. Eval + observability + prompts in one loop Trace → dataset → evaluate → optimize…
read the full LangWatch overview →
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Frequently asked questions
Is serviette or LangWatch more popular?
serviette has 58,735 GitHub stars and LangWatch has 5,003. serviette has the larger community by that measure.
Are serviette and LangWatch free?
Both are open source. serviette is licensed under MIT and LangWatch under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and LangWatch?
serviette is written in Python and LangWatch in TypeScript. 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 LangWatch?
Choose serviette if you want the larger community (58,735 stars) or its MIT licence terms. Choose LangWatch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.