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Ollama vs llama.cpp vs LocalAI

A side-by-side look at how actively Ollama, llama.cpp and LocalAI are developed on GitHub — popularity, contributor base, commit activity and how quickly issues and pull requests move.

What the numbers say

• Ollama is the most-starred of the 3, with 182k stars — about 3.7× LocalAI's 49k.
• Over the 52 weeks to the snapshot, llama.cpp recorded the most commits (4.6k), against 1.2k for Ollama.
• llama.cpp has closed or merged the most pull requests in its lifetime: 14k.
• Relative to its popularity, LocalAI carries the lightest open-issue load: 1.9 open issues per 1,000 stars, versus 13.9 for Ollama.

Head-to-head

Snapshot taken 30 September 2026. Refresh with live data

The wide bar is that repository’s share of the largest value in its own row — half the length means half the number. The thin gauge beneath it is the same row rescaled from its smallest value to its largest, which makes a close gap such as 61k against 59k visible; on that gauge the row’s lowest value always sits at zero however big it is, so read it as a spread and never as a quantity. Bars compare repositories with each other and never one metric against another. Colour identifies the repository, matching the dot beside its name. On the two issue rows a longer bar means more open work, which is usually the opposite of better. The highlighted cell is the highest value in a row. “Active / Slowing / Dormant” is a simple heuristic from how recently code was pushed and open issues per star — a starting point, not a verdict. Stars measure popularity, not quality.

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