Guesty vs Paddle
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Guesty and Paddle both appear on the Smoower Developer Ecosystem Index.
Paddle (rank #372) holds a modest lead over Guesty (rank #662) on the overall Smoower ecosystem score (42 vs 32). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Paddle is clearly ahead of Guesty. On education (docs, guides and learning material for developers), Guesty is ahead of Paddle. On community (issue response, PR reviews and discussion health), Paddle is ahead of Guesty. On reach (how visible the ecosystem is beyond its own repos), Paddle is clearly ahead of Guesty. On momentum (release cadence and how fast the ecosystem moves), Paddle is ahead of Guesty.
Guesty carries 1 GitHub stars across 21 public repos, with 1 repositories active in the last 90 days and 1 external contributors on record. Paddle shows 997 stars across 54 public repos, 22 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but Paddle's footprint is roughly 997.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Guesty is the stronger read for anyone weighting education. Paddle 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 | Guesty | Paddle |
|---|---|---|
| Ranking | ||
| Overall rank | #662 | #372 |
| Pillars | ||
| Overall | 32 | 42 |
| Code | 36 | 61 |
| Education | 67 | 57 |
| Community | 28 | 41 |
| Reach | 0 | 23 |
| Momentum | 20 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1 | 997 |
| Forks | 22 | 650 |
| Public repos | 21 | 54 |
| Active repos (90d) | 1 | 22 |
| External contributors | 1 | 6 |
| Avg polish | 27 | 63 |
| Avg AI-readiness | 36 | 40 |