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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.

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Favicon of Ollama

Ollama

AI
Runs open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.
181,565stars+2,160(+1.2%)

Last 30 days

  • Last commit


    9 hours ago
  • Repository age


    3 years
  • Version


    v0.34.4
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    ollama/ollama
Screenshot of Ollama
Favicon of vLLM

vLLM

AI
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.
Sponsor vLLM ongithub.com
Screenshot of vLLM

Detailed Comparison

Ollama appears to have several advantages over vLLM, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

Ollama wins
Community & Popularity

Ollama leads in popularity with 181,565 stars vs 92,594 stars for vLLM. The 96% higher star count indicates stronger community adoption. In terms of developer contributions, vLLM has 22,603 forks, indicating strong developer engagement.

Ollama wins
Growth Momentum

Ollama is growing faster, adding 2,160 stars in the last 30 days (+1.2%) against adding 0 stars for vLLM (0%). Ollama is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Ollama last updated 9 hours ago and vLLM 4 hours ago.

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
Use Cases & Features

Both tools serve similar use cases in Local Model Runners.

Comparable
Hosting & Deployment

Both Ollama and vLLM offer self-hosting capabilities, giving you full control over your data and infrastructure.