head to head · open source
serviette vs Laminar
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. Laminar has 3,471 stars, 257 forks, 116 open issues and last shipped yesterday. serviette leads on adoption by 1,592% (58,732 vs 3,471 stars). serviette is written in Python under MIT; Laminar is written in TypeScript under Apache-2.0. serviette has attracted 3% as many forks as stars, Laminar 7%. Laminar was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Laminar | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 3.5K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 257 |
| 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 Laminar if
- You want the Laminar 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 Laminar 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 Laminar
Laminar Laminar is an open source observability platform purpose built for AI agents. [x] Tracing. Docs [x] OpenTelemetry native powerful tracing SDK 1 line of code to automatically trace Vercel AI SDK, Browser Use, Stagehand, LangChain, OpenAI, Anthropic, Gemini, and more . [x] Signals. Docs [x] Describe any behavior of your agent that you want to track in plain English (e.g. "agent is stuck in a loop") [x] Laminar reads every agent run and pings you in Slack when it happens. [x] Evals. Docs [x] Unopinionated, extensible SDK and CLI for running evals locally or in CI/CD pipeline. [x] UI for visualizing evals…
read the full Laminar overview →
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Frequently asked questions
Is serviette or Laminar more popular?
serviette has 58,732 GitHub stars and Laminar has 3,471. serviette has the larger community by that measure.
Are serviette and Laminar free?
Both are open source. serviette is licensed under MIT and Laminar under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and Laminar?
serviette is written in Python and Laminar 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 Laminar?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose Laminar if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.