head to head · open source

vllm vs LLPhant

vllm has 92,055 GitHub stars, 22,349 forks, 7,953 open issues and last shipped today. LLPhant has 1,708 stars, 172 forks, 36 open issues and last shipped 11 days ago. vllm leads on adoption by 5,290% (92,055 vs 1,708 stars). vllm is written in Python under Apache-2.0; LLPhant is written in PHP under MIT. vllm has attracted 24% 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.

vllm ★ 92K LLPhant ★ 1.7K category AI & Machine Learning

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Side by side

	vllm	LLPhant
GitHub stars	★ 92K	★ 1.7K
License	Apache-2.0	MIT
Written in	Python	PHP
Last push	2026-09-18	2026-09-07
Forks	⑂ 22K	⑂ 172
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick vllm if

You weight community size — 92K 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

full vllm profile →

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

full LLPhant profile →

About vllm

vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.

read the full vllm overview →

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 LLamaInd…

read the full LLPhant overview →

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vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec vllm vs langchain4j

Frequently asked questions

Is vllm or LLPhant more popular?

vllm has 92,055 GitHub stars and LLPhant has 1,708. 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 (92,055 stars) or its Apache-2.0 licence terms. Choose LLPhant if its feature set, stack or MIT licence fits better. Both are self-hostable.