Learn how LocalAI and Ollama differ in their key features, development activity, technology stack and community adoption, so you can decide which of these local model runners is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both LocalAI and Ollama have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Ollama significantly outpaces LocalAI in community adoption with 180,472 stars compared to 48,985 stars on GitHub. This 3.7x difference suggests Ollama has a much larger and more active community. In terms of developer contributions, Ollama has 17,773 forks, indicating strong developer engagement.
LocalAI and Ollama are moving at much the same rate, adding 635 stars and adding 2,339 stars respectively over the last 30 days (+1.3% vs +1.3%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with LocalAI last updated 15 hours ago and Ollama 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, JSX, Golang, C, Objective-C, C++. However, they differ in their additional technology choices: LocalAI uses Python, Rust while Ollama leverages Typescript, MATLAB.
Both projects started around the same time, with LocalAI beginning 3 years ago and Ollama 3 years ago.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Local Model Runners.
Both LocalAI and Ollama offer self-hosting capabilities, giving you full control over your data and infrastructure.