head to head · open source

llama.cpp vs JustHireMe

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. JustHireMe has 2,271 stars, 366 forks, 38 open issues and last shipped 25 days ago. llama.cpp leads on adoption by 5,764% (133,181 vs 2,271 stars). llama.cpp is written in C++ under MIT; JustHireMe is written in Python under AGPL-3.0. llama.cpp has attracted 19% as many forks as stars, JustHireMe 16%. 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 JustHireMe ★ 2.3K category AI & Machine Learning

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Side by side

	llama.cpp	JustHireMe
GitHub stars	★ 133K	★ 2.3K
License	MIT	AGPL-3.0
Written in	C++	Python
Last push	2026-11-02	2026-10-09
Forks	⑂ 25K	⑂ 366
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 JustHireMe if

You want the JustHireMe feature set and don't need the biggest community
You prefer the AGPL-3.0 license terms
Your stack matches Python
You evaluated both and JustHireMe fits your workflow better

full JustHireMe 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 JustHireMe

JustHireMe Local first AI job intelligence for scraping better roles, ranking fit, and generating tailored application materials. What It Does · Workflow · Architecture · Quick Start · Standard Procedure · Agent Skill + MCP · Contributing · Roadmap Star History The Short Version JustHireMe is an AGPL licensed, local first desktop workbench for people who are tired of noisy job boards and black box AI apply tools. Maintainer JustHireMe is built and maintained by Vasudev Siddh full stack AI engineer, open source builder, and the person who got tired of bad job…

read the full JustHireMe overview →

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Frequently asked questions

Is llama.cpp or JustHireMe more popular?

llama.cpp has 133,181 GitHub stars and JustHireMe has 2,271. llama.cpp has the larger community by that measure.

Are llama.cpp and JustHireMe free?

Both are open source. llama.cpp is licensed under MIT and JustHireMe under AGPL-3.0. Neither carries a licence fee.

What is the difference between llama.cpp and JustHireMe?

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

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose JustHireMe if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.