head to head · open source
serviette vs llamafarm
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. llamafarm has 836 stars, 59 forks, 55 open issues and last shipped 5 months ago. serviette leads on adoption by 6,925% (58,732 vs 836 stars). serviette is written in Python under MIT; llamafarm is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, llamafarm 7%. serviette 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 | llamafarm | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 836 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-06-10 |
| Forks | ⑂ 1.5K | ⑂ 59 |
| 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 llamafarm if
- You want the llamafarm 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 llamafarm 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 llamafarm
LlamaFarm Edge AI for Everyone Enterprise AI capabilities on your own hardware. No cloud required. LlamaFarm is an open source AI platform that runs entirely on your hardware. Build RAG applications, train custom classifiers, detect anomalies, and run document processing—all locally with complete privacy. 🔒 Complete Privacy — Your data never leaves your device 💰 No API Costs — Use open source models without per token fees 🌐 Offline Capable — Works without internet once models are downloaded ⚡ Hardware Optimized — Automatic GPU/NPU acceleration on Apple Silicon, NVIDIA, and AMD Desktop App Downloads Get…
read the full llamafarm overview →
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Frequently asked questions
Is serviette or llamafarm more popular?
serviette has 58,732 GitHub stars and llamafarm has 836. serviette has the larger community by that measure.
Are serviette and llamafarm free?
Both are open source. serviette is licensed under MIT and llamafarm under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and llamafarm?
serviette is written in Python and llamafarm 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 llamafarm?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose llamafarm if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.