head to head · open source

llama.cpp vs JustHireMe

llama.cpp has 128,619 GitHub stars, 23,351 forks, 2,464 open issues and last shipped today. JustHireMe has 2,250 stars, 360 forks, 38 open issues and last shipped 9 days ago. llama.cpp leads on adoption by 5,616% (128,619 vs 2,250 stars). llama.cpp is written in C++ under MIT; JustHireMe is written in Python under AGPL-3.0. llama.cpp has attracted 18% 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 ★ 129K JustHireMe ★ 2.3K category AI & Machine Learning

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Side by side

	llama.cpp	JustHireMe
GitHub stars	★ 129K	★ 2.3K
License	MIT	AGPL-3.0
Written in	C++	Python
Last push	2026-09-18	2026-09-09
Forks	⑂ 23K	⑂ 360
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 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 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 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 boards…

read the full JustHireMe overview →

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Frequently asked questions

Is llama.cpp or JustHireMe more popular?

llama.cpp has 128,619 GitHub stars and JustHireMe has 2,250. 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 (128,619 stars) or its MIT licence terms. Choose JustHireMe if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.