Marqo vs vLLM

Marqo (Tensor search for humans.) and vLLM both appear on the Smoower Developer Ecosystem Index.

vLLM (rank #22) holds a meaningful lead over Marqo (rank #423) on the overall Smoower ecosystem score (67 vs 42). The gap of 25 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 Marqo. On education (docs, guides and learning material for developers), vLLM is slightly ahead of Marqo. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Marqo. On reach (how visible the ecosystem is beyond its own repos), vLLM is ahead of Marqo. On momentum (release cadence and how fast the ecosystem moves), vLLM is ahead of Marqo.

Marqo carries 5,424 GitHub stars across 29 public repos, with 17 repositories active in the last 90 days and 8 external contributors on record. vLLM shows 129,682 stars across 50 public repos, 41 active in the last 90 days and 1,008 external contributors. The star gap on its own does not decide the comparison, but vLLM's footprint is roughly 23.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Marqo is worth a look for teams already invested in its stack. 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.