OpenAI vs vLLM

OpenAI and vLLM both appear on the Smoower Developer Ecosystem Index.

OpenAI (rank #22) holds a narrow lead over vLLM (rank #39) on the overall Smoower ecosystem score (66 vs 64). The gap of 2 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), vLLM is clearly ahead of OpenAI. On education (docs, guides and learning material for developers), vLLM is slightly ahead of OpenAI. On community (issue response, PR reviews and discussion health), OpenAI is slightly ahead of vLLM. On reach (how visible the ecosystem is beyond its own repos), OpenAI is ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), OpenAI is clearly ahead of vLLM.

OpenAI carries 846,432 GitHub stars across 268 public repos, with 49 repositories active in the last 90 days and 426 external contributors on record. vLLM shows 121,665 stars across 47 public repos, 41 active in the last 90 days and 889 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 7.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

OpenAI is the stronger read for anyone weighting momentum. vLLM looks better where code quality is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.