Pendo vs Zeplin
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Pendo and Zeplin both appear on the Smoower Developer Ecosystem Index.
Zeplin (rank #430) holds a narrow lead over Pendo (rank #625) on the overall Smoower ecosystem score (40 vs 33). The gap of 7 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zeplin is clearly ahead of Pendo. On education (docs, guides and learning material for developers), Zeplin is ahead of Pendo. On community (issue response, PR reviews and discussion health), Pendo is ahead of Zeplin. On reach (how visible the ecosystem is beyond its own repos), Pendo is slightly ahead of Zeplin. On momentum (release cadence and how fast the ecosystem moves), Pendo is ahead of Zeplin.
Pendo carries 267 GitHub stars across 134 public repos, with 18 repositories active in the last 90 days and 6 external contributors on record. Zeplin shows 1,460 stars across 57 public repos, 8 active in the last 90 days and 4 external contributors. The star gap on its own does not decide the comparison, but Zeplin's footprint is roughly 5.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Pendo is the stronger read for anyone weighting community. Zeplin 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 | Pendo | Zeplin |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #430 |
| Pillars | ||
| Overall | 33 | 40 |
| Code | 27 | 49 |
| Education | 61 | 77 |
| Community | 47 | 28 |
| Reach | 23 | 20 |
| Momentum | 31 | 16 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 267 | 1,460 |
| Forks | 88 | 228 |
| Public repos | 134 | 57 |
| Active repos (90d) | 18 | 8 |
| External contributors | 6 | 4 |
| Avg polish | 34 | 54 |
| Avg AI-readiness | 18 | 26 |