head to head · open source
serviette vs pegainfer
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. pegainfer has 731 stars, 121 forks, 89 open issues and last shipped yesterday. serviette leads on adoption by 7,934% (58,732 vs 731 stars). serviette is written in Python under MIT; pegainfer is written in Rust under Apache-2.0. serviette has attracted 3% as many forks as stars, pegainfer 17%. pegainfer 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 | pegainfer | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 731 |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 121 |
| 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 pegainfer if
- You want the pegainfer feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and pegainfer 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 pegainfer
Quickstart · Performance · Models · Architecture · API · Development PegaInfer serves LLMs through an OpenAI compatible API. Each model owns its scheduler, state, and kernels; serving and KV infrastructure are shared. No PyTorch or Python runtime. Quickstart Prebuilt binary · Qwen3 on Linux The Qwen3 only release bundles CUDA 13 and cuBLAS. It requires Linux x86 64 , an NVIDIA GPU with compute capability 8.x–12.x , driver 580+ , glibc 2.35+ , and OpenSSL 3 . Model weights are downloaded separately. Download Qwen3 4B into models/Qwen3 4B , then start the server: The server…
read the full pegainfer overview →
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Frequently asked questions
Is serviette or pegainfer more popular?
serviette has 58,732 GitHub stars and pegainfer has 731. serviette has the larger community by that measure.
Are serviette and pegainfer free?
Both are open source. serviette is licensed under MIT and pegainfer under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and pegainfer?
serviette is written in Python and pegainfer in Rust. 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 pegainfer?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose pegainfer if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.