head to head · open source
serviette vs OpenLLM
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. OpenLLM has 12,578 stars, 848 forks, 20 open issues and last shipped yesterday. serviette leads on adoption by 367% (58,732 vs 12,578 stars). serviette is written in Python under MIT; OpenLLM is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, OpenLLM 7%. OpenLLM 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 | OpenLLM | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 13K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 848 |
| 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 OpenLLM if
- You want the OpenLLM 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 OpenLLM 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 OpenLLM
🦾 OpenLLM: Self Hosting LLMs Made Easy OpenLLM allows developers to run any open source LLMs (Llama 3.3, Qwen2.5, Phi3 and more) or custom models as OpenAI compatible APIs with a single command. It features a built in chat UI, state of the art inference backends, and a simplified workflow for creating enterprise grade cloud deployment with Docker, Kubernetes, and BentoCloud. Understand the design philosophy of OpenLLM. Get Started Run the following commands to install OpenLLM and explore it interactively. Supported models OpenLLM supports a wide range of state of the art open source LLMs. You can also add a…
read the full OpenLLM overview →
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Frequently asked questions
Is serviette or OpenLLM more popular?
serviette has 58,732 GitHub stars and OpenLLM has 12,578. serviette has the larger community by that measure.
Are serviette and OpenLLM free?
Both are open source. serviette is licensed under MIT and OpenLLM under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and OpenLLM?
serviette is written in Python and OpenLLM 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 OpenLLM?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose OpenLLM if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.