head to head · open source

llama.cpp vs Latitude

llama.cpp has 128,581 GitHub stars, 23,334 forks, 2,464 open issues and last shipped yesterday. Latitude has 4,650 stars, 391 forks, 65 open issues and last shipped yesterday. llama.cpp leads on adoption by 2,665% (128,581 vs 4,650 stars). llama.cpp is written in C++ under MIT; Latitude is written in TypeScript under MIT. llama.cpp has attracted 18% as many forks as stars, Latitude 8%. Latitude 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 Latitude ★ 4.7K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

	llama.cpp	Latitude
GitHub stars	★ 129K	★ 4.7K
License	MIT	MIT
Written in	C++	TypeScript
Last push	2026-09-17	2026-09-17
Forks	⑂ 23K	⑂ 391
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 Latitude if

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

full Latitude 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 Latitude

Latitude is an open source observability platform for AI agents, written in TypeScript and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, where it targets the specific problem of agents that fail in production without a clear path from failure to fix. The project describes itself as tooling that makes AI agents self healing, and its repository topics — agent monitoring, agent observability, llm error tracing, llm observability, ai error monitor — place it squarely in the LLM observability space.

read the full Latitude overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

llama.cpp vs Ollama llama.cpp vs vllm llama.cpp vs GPT4All llama.cpp vs llama_index llama.cpp vs LocalAI llama.cpp vs PageIndex llama.cpp vs Langfuse llama.cpp vs cognee llama.cpp vs taipy llama.cpp vs dagster llama.cpp vs zvec llama.cpp vs langchain4j

Frequently asked questions

Is llama.cpp or Latitude more popular?

llama.cpp has 128,581 GitHub stars and Latitude has 4,650. llama.cpp has the larger community by that measure.

Are llama.cpp and Latitude free?

Both are open source. llama.cpp is licensed under MIT and Latitude under MIT. Neither carries a licence fee.

What is the difference between llama.cpp and Latitude?

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

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