We do love open source and have an opportunity to make it better from now.
InVision vs Semrush
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
InVision and Semrush (We do love open source and have an opportunity to make it better from now.) both appear on the Smoower Developer Ecosystem Index.
Semrush (rank #317) holds a narrow lead over InVision (rank #430) on the overall Smoower ecosystem score (44 vs 40). The gap of 4 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), InVision is slightly ahead of Semrush. On education (docs, guides and learning material for developers), InVision is ahead of Semrush. On community (issue response, PR reviews and discussion health), Semrush is clearly ahead of InVision. On reach (how visible the ecosystem is beyond its own repos), InVision is slightly ahead of Semrush. On momentum (release cadence and how fast the ecosystem moves), Semrush is clearly ahead of InVision.
InVision carries 1,303 GitHub stars across 114 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Semrush shows 454 stars across 11 public repos, 2 active in the last 90 days and 7 external contributors.
InVision is the stronger read for anyone weighting education. Semrush looks better where momentum 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 | InVision | Semrush |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #317 |
| Pillars | ||
| Overall | 40 | 44 |
| Code | 46 | 44 |
| Education | 80 | 65 |
| Community | 14 | 36 |
| Reach | 40 | 35 |
| Momentum | 0 | 37 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,303 | 454 |
| Forks | 193 | 124 |
| Public repos | 114 | 11 |
| Active repos (90d) | 0 | 2 |
| External contributors | 0 | 7 |
| Avg polish | 52 | 48 |
| Avg AI-readiness | 34 | 32 |