What is the main difference between Ollama and vLLM?

Ollama and vLLM are both local model runners but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Ollama or vLLM?

The choice between Ollama and vLLM depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Ollama to vLLM?

Migration between Ollama and vLLM is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Ollama vs vLLM

Learn how Ollama and vLLM 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.

Ollama

Runs open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.

Visit Ollama Read more

185,801stars+3,607(+2%)

Last 30 days

Last commit
15 hours ago
Repository age
3 years
Version
v0.40.14
License
MIT
Self-hosted
Yes
Repository
ollama/ollama

vLLM

Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.

Visit vLLM Read more

96,235stars+3,061(+3.3%)

Last 30 days

Last commit
11 hours ago
Repository age
4 years
Version
v0.33.0
License
Apache-2.0
Self-hosted
Yes
Repository
vllm-project/vllm

Detailed Comparison

Both Ollama and vLLM 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 wins

Community & Popularity

Ollama leads in popularity with 185,801 stars vs 96,235 stars for vLLM. The 93% higher star count indicates stronger community adoption. In terms of developer contributions, vLLM has 24,352 forks, indicating strong developer engagement.

vLLM wins

Growth Momentum

vLLM is growing faster, adding 3,061 stars in the last 30 days (+3.3%) against adding 3,607 stars for Ollama (+2%). vLLM is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable

Development Activity

Both projects show recent activity, with Ollama last updated 15 hours ago and vLLM 11 hours ago.

Comparable

Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, C, Objective-C, C++. However, they differ in their additional technology choices: Ollama uses Typescript, JSX, Golang, MATLAB while vLLM leverages Python, Rust.

Comparable

Project Maturity

Both projects started around the same time, with Ollama beginning 3 years ago and vLLM 4 years ago.

Ollama wins

Licensing

Ollama uses the MIT license, which is more permissive than vLLM's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable