head to head · open source
vllm vs LLPhant
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. LLPhant has 1,722 stars, 179 forks, 36 open issues and last shipped yesterday. vllm leads on adoption by 5,484% (96,158 vs 1,722 stars). vllm is written in Python under Apache-2.0; LLPhant is written in PHP under MIT. vllm has attracted 25% as many forks as stars, LLPhant 10%. vllm 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
| vllm | LLPhant | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 1.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | PHP |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 179 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K 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 LLPhant if
- You want the LLPhant feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches PHP
- You evaluated both and LLPhant 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 LLPhant
LLPhant The PHP library for Gen AI and Vector Databases We designed this framework to be as simple as possible, while still providing you with the tools you need to build powerful apps. It is compatible with Symfony and Laravel. We are working to expand the support of different LLMs. Right now, we are supporting OpenAI, Anthropic, Mistral, Ollama, llmman, LM Studio, Atlas Cloud and services compatible with the OpenAI API such as LocalAI. Ollama that can be used to run LLM locally such as Llama 2. We want to thank few amazing projects that we use here or inspired us: the learnings from using LangChain and…
read the full LLPhant overview →
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Frequently asked questions
Is vllm or LLPhant more popular?
vllm has 96,158 GitHub stars and LLPhant has 1,722. vllm has the larger community by that measure.
Are vllm and LLPhant free?
Both are open source. vllm is licensed under Apache-2.0 and LLPhant under MIT. Neither carries a licence fee.
What is the difference between vllm and LLPhant?
vllm is written in Python and LLPhant in PHP. 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 LLPhant?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose LLPhant if its feature set, stack or MIT licence fits better. Both are self-hostable.