head to head · open source
serviette vs Flide
serviette has 58,707 GitHub stars, 1,550 forks, 8 open issues and last shipped 5 days ago. Flide has 505 stars, 33 forks, 2 open issues and last shipped 3 days ago. serviette leads on adoption by 11,525% (58,707 vs 505 stars). serviette is written in Python under MIT; Flide is written in Python under Apache-2.0. serviette has attracted 3% as many forks as stars, Flide 7%. Flide 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.
← all 20902 open source comparisons
Side by side
| serviette | Flide | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 505 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-10 | 2026-11-12 |
| Forks | ⑂ 1.6K | ⑂ 33 |
| 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 Flide if
- You want the Flide 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 Flide 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 Flide
English · 简体中文 · 日本語 · 한국어 News · Quick start · Models · Options Flide is fast inference infrastructure for Jev style decision models. With exact state forking it is up to 9.5 times faster than vLLM and SGLang, and every answer is the one the model gives the question alone. It serves the Jev /v1/systemone API. 🔥 News 🔥 2026 11 12 We added d1 3B from LiquidAI in Flide 0.1.15, and Gemma 4 now runs in FP8 with quantize fp8 , so Gemma 4 12B fits one 24 GB card. 🔥 2026 11 12 We added GLiDE 9B and GLiDE 27B in Flide 0.1.14, and GLiDE 27B also reads images. 🔥 2026 11 11 We added FlexDM LoRA v2.1, Sieve 31B v3 and…
read the full Flide overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is serviette or Flide more popular?
serviette has 58,707 GitHub stars and Flide has 505. serviette has the larger community by that measure.
Are serviette and Flide free?
Both are open source. serviette is licensed under MIT and Flide under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and Flide?
serviette is written in Python and Flide 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 Flide?
Choose serviette if you want the larger community (58,707 stars) or its MIT licence terms. Choose Flide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.