Ollama vs vLLM

Head-to-head adoption data comparison based on real metrics

Data updated daily — latest collection:
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🦙
Ollama
Local AI
Monthly Downloads
2.5M
Total: 2.5M
GitHub Stars
163,272
Forks
14,657
Open Issues
2,459
Description
Run large language models locally on your machine
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🚀
vLLM
Framework
GitHub Stars
57,289
Forks
9,931
Open Issues
2,954
Description
High-throughput LLM serving engine with PagedAttention
Visit website →

Side-by-Side Metrics

Metric Ollama vLLM
Monthly Downloads 2.5M Leader 0
GitHub Stars 163,272 Leader 57,289
GitHub Forks 14,657 Leader 9,931
Open Issues 2,459 2,954 Leader
Community Mentions 0 0

Summary

Ollama has 2.5M monthly downloads while vLLM is not distributed via package registries, while Ollama leads in community popularity with 185% more GitHub stars than vLLM.

Historical Comparison

See how this comparison has changed over the last 30, 60, and 90 days with download and star trends plotted over time.

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About This Data

This comparison uses real adoption metrics collected daily from NPM, PyPI, GitHub, benchmark leaderboards, and pricing data sources. Download counts reflect cumulative totals and weekly/monthly snapshots from the most recent scraper run. All data is publicly verifiable.

Latest data collection: (scrapers run daily)

Sources: NPM Registry API, PyPI API, GitHub API, SWE-bench, Official Pricing Pages

View Ollama Details View vLLM Details Compare Other Tools

Last updated: | Data collected from NPM, PyPI, GitHub, and vendor pricing pages