head to head · open source

vllm vs PageIndex

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. PageIndex has 35,678 stars, 3,148 forks, 103 open issues and last shipped yesterday. vllm leads on adoption by 158% (92,028 vs 35,678 stars). vllm is written in Python under Apache-2.0; PageIndex is written in Python under MIT. vllm has attracted 24% as many forks as stars, PageIndex 9%. vllm 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.

vllm ★ 92K PageIndex ★ 36K category AI & Machine Learning

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Side by side

	vllm	PageIndex
GitHub stars	★ 92K	★ 36K
License	Apache-2.0	MIT
Written in	Python	Python
Last push	2026-09-17	2026-09-17
Forks	⑂ 22K	⑂ 3.1K
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 PageIndex if

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

full PageIndex 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 PageIndex

PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…

read the full PageIndex overview →

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vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI 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 PageIndex more popular?

vllm has 92,028 GitHub stars and PageIndex has 35,678. vllm has the larger community by that measure.

Are vllm and PageIndex free?

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

What is the difference between vllm and PageIndex?

vllm is written in Python and PageIndex 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 PageIndex?

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