head to head · open source

llama.cpp vs matrixone

llama.cpp has 133,101 GitHub stars, 25,042 forks, 2,464 open issues and last shipped yesterday. matrixone has 2,062 stars, 341 forks, 745 open issues and last shipped yesterday. llama.cpp leads on adoption by 6,355% (133,101 vs 2,062 stars). llama.cpp is written in C++ under MIT; matrixone is written in Go under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, matrixone 17%. 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 matrixone ★ 2.1K category AI & Machine Learning

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Side by side

	llama.cpp	matrixone
GitHub stars	★ 133K	★ 2.1K
License	MIT	Apache-2.0
Written in	C++	Go
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 341
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 matrixone if

You want the matrixone feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Go
You evaluated both and matrixone fits your workflow better

full matrixone 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…

read the full llama.cpp overview →

About matrixone

Docs Official Website Research Paper English 简体中文 Connect with us: Contents ======== What is MatrixOne Get Started in 60 Seconds Tutorials & Demos Installation & Deployment Architecture Python SDK Citing MatrixOne Contributing License What is MatrixOne? MatrixOne is the industry's first database to bring Git style version control to data , combined with MySQL compatibility, AI native capabilities, and cloud native architecture. At its core, MatrixOne is a HTAP (Hybrid Transactional/Analytical Processing) database with a hyper converged HSTAP engine that seamlessly handles transactional (OLTP), analytical (OLAP)…

read the full matrixone overview →

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Frequently asked questions

Is llama.cpp or matrixone more popular?

llama.cpp has 133,101 GitHub stars and matrixone has 2,062. llama.cpp has the larger community by that measure.

Are llama.cpp and matrixone free?

Both are open source. llama.cpp is licensed under MIT and matrixone under Apache-2.0. Neither carries a licence fee.

What is the difference between llama.cpp and matrixone?

llama.cpp is written in C++ and matrixone 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, llama.cpp or matrixone?

Choose llama.cpp if you want the larger community (133,101 stars) or its MIT licence terms. Choose matrixone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.