head to head · open source

llama.cpp vs PageIndex

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. PageIndex has 39,958 stars, 3,438 forks, 103 open issues and last shipped yesterday. llama.cpp leads on adoption by 233% (133,181 vs 39,958 stars). llama.cpp is written in C++ under MIT; PageIndex is written in Python under MIT. llama.cpp has attracted 19% as many forks as stars, PageIndex 9%. llama.cpp 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.

llama.cpp ★ 133K PageIndex ★ 40K category AI & Machine Learning

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Side by side

	llama.cpp	PageIndex
GitHub stars	★ 133K	★ 40K
License	MIT	MIT
Written in	C++	Python
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 3.4K
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 133K stars and counting
You want the MIT license terms
Your stack matches C++
You value the larger contributor base for long-term maintenance

full llama.cpp 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 llama.cpp

llama.cpp LLM inference in C/C++ ggml / ops / maintainer PRs%20sort%3Aupdated desc) / dev stats / lib llama API / llama server REST API Quick start A few options to get llama.cpp installed on your machine: Visit and follow the instructions Run with Docker see our Docker documentation Download pre built binaries from the releases page Build from source by cloning this repository check out our build guide Once installed: VLM session with llama cli Built in web UI against llama serve Description The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state of the art performance on a…

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About PageIndex

PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…

read the full PageIndex overview →

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Frequently asked questions

Is llama.cpp or PageIndex more popular?

llama.cpp has 133,181 GitHub stars and PageIndex has 39,958. llama.cpp has the larger community by that measure.

Are llama.cpp and PageIndex free?

Both are open source. llama.cpp is licensed under MIT and PageIndex under MIT. Neither carries a licence fee.

What is the difference between llama.cpp and PageIndex?

llama.cpp is written in C++ 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, llama.cpp or PageIndex?

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose PageIndex if its feature set, stack or MIT licence fits better. Both are self-hostable.