browserbase vs TabbyML
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
browserbase and TabbyML both appear on the Smoower Developer Ecosystem Index.
browserbase (rank #152) holds a modest lead over TabbyML (rank #569) on the overall Smoower ecosystem score (52 vs 35). The gap of 17 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), browserbase is ahead of TabbyML. On education (docs, guides and learning material for developers), browserbase is clearly ahead of TabbyML. On community (issue response, PR reviews and discussion health), browserbase is slightly ahead of TabbyML. On reach (how visible the ecosystem is beyond its own repos), browserbase is slightly ahead of TabbyML. On momentum (release cadence and how fast the ecosystem moves), browserbase is clearly ahead of TabbyML.
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. TabbyML shows 34,010 stars across 18 public repos, 5 active in the last 90 days and 12 external contributors.
browserbase is the stronger read for anyone weighting education. TabbyML makes more sense for teams already using its adjacent tools. 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 | TabbyML |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #569 |
| Pillars | ||
| Overall | 52 | 35 |
| Code | 47 | 33 |
| Education | 83 | 54 |
| Community | 53 | 47 |
| Reach | 45 | 44 |
| Momentum | 38 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 34,643 | 34,010 |
| Forks | 3,000 | 2,016 |
| Public repos | 65 | 18 |
| Active repos (90d) | 27 | 5 |
| External contributors | 69 | 12 |
| Avg polish | 46 | 31 |
| Avg AI-readiness | 41 | 30 |