head to head · open source

vllm vs LocalAI

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. LocalAI has 49,144 stars, 4,455 forks, 201 open issues and last shipped yesterday. vllm leads on adoption by 87% (92,028 vs 49,144 stars). vllm is written in Python under Apache-2.0; LocalAI is written in Go under MIT. vllm has attracted 24% as many forks as stars, LocalAI 9%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llama, 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.

vllm ★ 92K LocalAI ★ 49K category AI & Machine Learning

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Side by side

	vllm	LocalAI
GitHub stars	★ 92K	★ 49K
License	Apache-2.0	MIT
Written in	Python	Go
Last push	2026-09-17	2026-09-17
Forks	⑂ 22K	⑂ 4.5K
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 LocalAI if

You want the LocalAI feature set and don't need the biggest community
You prefer the MIT license terms
Your stack matches Go
You evaluated both and LocalAI fits your workflow better

full LocalAI 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 LocalAI

LocalAI is an open source AI runtime that enables running large language models (LLMs), vision, audio, image, and video models locally or on premises. It operates as a modular engine where each model type is backed by a dedicated, lightweight backend—such as llama.cpp, whisper.cpp, or stable diffusion—pulled only when needed. This composable architecture avoids bundling unnecessary dependencies, keeping the core minimal while supporting diverse modalities and hardware configurations.

read the full LocalAI overview →

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

Frequently asked questions

Is vllm or LocalAI more popular?

vllm has 92,028 GitHub stars and LocalAI has 49,144. vllm has the larger community by that measure.

Are vllm and LocalAI free?

Both are open source. vllm is licensed under Apache-2.0 and LocalAI under MIT. Neither carries a licence fee.

What is the difference between vllm and LocalAI?

vllm is written in Python and LocalAI in Go. 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 LocalAI?

Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose LocalAI if its feature set, stack or MIT licence fits better. Both are self-hostable.