head to head · open source

llama.cpp vs envd

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. envd has 2,242 stars, 169 forks, 139 open issues and last shipped yesterday. llama.cpp leads on adoption by 5,840% (133,181 vs 2,242 stars). llama.cpp is written in C++ under MIT; envd is written in Go under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, envd 8%. 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 envd ★ 2.2K category AI & Machine Learning

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Side by side

	llama.cpp	envd
GitHub stars	★ 133K	★ 2.2K
License	MIT	Apache-2.0
Written in	C++	Go
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 169
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 envd if

You want the envd 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 envd fits your workflow better

full envd 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 envd

Development environment for AI/ML What is envd? envd ( ɪnˈvdɪ ) is a command line tool that helps you create the container based development environment for AI/ML. Creating development environments is not easy, especially with today's complex systems and dependencies. With everything from Python to CUDA, BASH scripts, and Dockerfiles constantly breaking, it can feel like a nightmare until now! Instantly get your environment running exactly as you need with a simple declaration of the packages you seek in build.envd and just one command: envd up ! Why use envd ? Environments built with envd provide the following…

read the full envd overview →

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Frequently asked questions

Is llama.cpp or envd more popular?

llama.cpp has 133,181 GitHub stars and envd has 2,242. llama.cpp has the larger community by that measure.

Are llama.cpp and envd free?

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

What is the difference between llama.cpp and envd?

llama.cpp is written in C++ and envd 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 envd?

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose envd if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.