head to head · open source
vllm vs Flide
vllm has 96,942 GitHub stars, 24,834 forks, 7,953 open issues and last shipped today. Flide has 505 stars, 33 forks, 2 open issues and last shipped 3 days ago. vllm leads on adoption by 19,096% (96,942 vs 505 stars). vllm is written in Python under Apache-2.0; Flide is written in Python under Apache-2.0. vllm has attracted 26% as many forks as stars, Flide 7%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (cuda, 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
| vllm | Flide | |
|---|---|---|
| GitHub stars | ★ 97K | ★ 505 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-15 | 2026-11-12 |
| Forks | ⑂ 25K | ⑂ 33 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 97K stars and counting
- You want the Apache-2.0 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 vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
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 →
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Frequently asked questions
Is vllm or Flide more popular?
vllm has 96,942 GitHub stars and Flide has 505. vllm has the larger community by that measure.
Are vllm and Flide free?
Both are open source. vllm is licensed under Apache-2.0 and Flide under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and Flide?
vllm 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, vllm or Flide?
Choose vllm if you want the larger community (96,942 stars) or its Apache-2.0 licence terms. Choose Flide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.