head to head · open source

llama.cpp vs Langfuse

llama.cpp has 128,581 GitHub stars, 23,334 forks, 2,464 open issues and last shipped yesterday. Langfuse has 34,729 stars, 3,785 forks, 926 open issues and last shipped yesterday. llama.cpp leads on adoption by 270% (128,581 vs 34,729 stars). llama.cpp is written in C++ under MIT; Langfuse is written in TypeScript under a custom or non-standard licence. llama.cpp has attracted 18% as many forks as stars, Langfuse 11%. Langfuse 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 ★ 129K Langfuse ★ 35K category AI & Machine Learning

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Side by side

	llama.cpp	Langfuse
GitHub stars	★ 129K	★ 35K
License	MIT	Custom / other
Written in	C++	TypeScript
Last push	2026-09-17	2026-09-17
Forks	⑂ 23K	⑂ 3.8K
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 129K 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 Langfuse if

You want the Langfuse feature set and don't need the biggest community
You prefer the Custom / other license terms
Your stack matches TypeScript
You evaluated both and Langfuse fits your workflow better

full Langfuse profile →

About llama.cpp

llama.cpp is a C/C++ library and set of command line tools for running large language models (LLMs) and vision language models (VLMs) locally. It enables inference without external dependencies, targeting diverse hardware including Apple Silicon, x86 CPUs, NVIDIA GPUs (via CUDA), AMD GPUs (via HIP), and other accelerators. The project lives in the ggml ecosystem, leveraging the ggml tensor computation library for low level operations and quantized model execution.

read the full llama.cpp overview →

About Langfuse

Langfuse is an open source LLM engineering platform for building, monitoring, and improving AI powered applications. It lives in the LLMops ecosystem and provides tooling for the full development lifecycle—from prompt iteration and evaluation to observability and dataset management. Built with TypeScript and powered by ClickHouse, it enables teams to track LLM calls, user sessions, and internal logic like retrieval or agent actions in a unified interface.

read the full Langfuse overview →

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Frequently asked questions

Is llama.cpp or Langfuse more popular?

llama.cpp has 128,581 GitHub stars and Langfuse has 34,729. llama.cpp has the larger community by that measure.

Are llama.cpp and Langfuse free?

Both are open source. llama.cpp is licensed under MIT, and Langfuse has no licence declared in this registry. Both are free to self-host.

What is the difference between llama.cpp and Langfuse?

llama.cpp is written in C++ and Langfuse in TypeScript. 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 Langfuse?

Choose llama.cpp if you want the larger community (128,581 stars) or its MIT licence terms. Choose Langfuse if its feature set, stack or Custom / other licence fits better. Both are self-hostable.