browserbase vs vLLM
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
browserbase and vLLM both appear on the Smoower Developer Ecosystem Index.
vLLM (rank #47) holds a modest lead over browserbase (rank #152) on the overall Smoower ecosystem score (61 vs 52). The gap of 9 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 browserbase. On education (docs, guides and learning material for developers), browserbase is ahead of vLLM. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of browserbase. On reach (how visible the ecosystem is beyond its own repos), browserbase is clearly ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), vLLM is slightly ahead of browserbase.
browserbase carries 34,643 GitHub stars across 65 public repos, with 27 repositories active in the last 90 days and 69 external contributors on record. vLLM shows 115,730 stars across 43 public repos, 35 active in the last 90 days and 881 external contributors. The star gap on its own does not decide the comparison, but vLLM's footprint is roughly 3.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
browserbase is the stronger read for anyone weighting reach. 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.
Side-by-side metrics
| Metric | browserbase | vLLM |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #47 |
| Pillars | ||
| Overall | 52 | 61 |
| Code | 47 | 81 |
| Education | 83 | 71 |
| Community | 53 | 76 |
| Reach | 45 | 23 |
| Momentum | 38 | 42 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 34,643 | 115,730 |
| Forks | 3,000 | 26,361 |
| Public repos | 65 | 43 |
| Active repos (90d) | 27 | 35 |
| External contributors | 69 | 881 |
| Avg polish | 46 | 81 |
| Avg AI-readiness | 41 | 61 |