head to head · open source

llama.cpp vs Latitude

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. Latitude has 4,742 stars, 408 forks, 65 open issues and last shipped yesterday. llama.cpp leads on adoption by 2,709% (133,181 vs 4,742 stars). llama.cpp is written in C++ under MIT; Latitude is written in TypeScript under MIT. llama.cpp has attracted 19% as many forks as stars, Latitude 9%. 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 Latitude ★ 4.7K category AI & Machine Learning

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Side by side

	llama.cpp	Latitude
GitHub stars	★ 133K	★ 4.7K
License	MIT	MIT
Written in	C++	TypeScript
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 408
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 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 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 Latitude

Make your AI agents self healing Agents that fix themselves, at scale. Website · Docs · Changelog · Slack · X 🌈 Why Latitude? Latitude finds where your agent fails and gets it fixed. Observe : one line of telemetry captures every trace: multi turn sessions, tool calls, and full execution paths. (traces, sessions, tool call observability, OpenTelemetry ingest) Understand : failing traces are auto grouped into tracked signals with status, size, and trend, so you see what's breaking and how often. (signals, flaggers, behaviours, semantic search, annotations) Fix : Latitude dispatches your coding agents (Claude…

read the full Latitude overview →

More in AI & Machine Learning

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Frequently asked questions

Is llama.cpp or Latitude more popular?

llama.cpp has 133,181 GitHub stars and Latitude has 4,742. 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 (133,181 stars) or its MIT licence terms. Choose Latitude if its feature set, stack or MIT licence fits better. Both are self-hostable.