Loop public repository
Loop Returns vs Patreon
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Loop Returns (Loop public repository) and Patreon both appear on the Smoower Developer Ecosystem Index.
Patreon (rank #536) holds a narrow lead over Loop Returns (rank #625) on the overall Smoower ecosystem score (36 vs 33). The gap of 3 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Patreon is ahead of Loop Returns. On education (docs, guides and learning material for developers), Loop Returns is ahead of Patreon. On community (issue response, PR reviews and discussion health), Patreon is clearly ahead of Loop Returns. On reach (how visible the ecosystem is beyond its own repos), Patreon is clearly ahead of Loop Returns.
Loop Returns carries 1 GitHub stars across 2 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Patreon shows 846 stars across 62 public repos, 0 active in the last 90 days and 2 external contributors. The star gap on its own does not decide the comparison, but Patreon's footprint is roughly 846.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Loop Returns is the stronger read for anyone weighting education. Patreon looks better where reach 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 | Loop Returns | Patreon |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #536 |
| Pillars | ||
| Overall | 33 | 36 |
| Code | 32 | 52 |
| Education | 80 | 63 |
| Community | 4 | 26 |
| Reach | 21 | 61 |
| Momentum | 0 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1 | 846 |
| Forks | 1 | 220 |
| Public repos | 2 | 62 |
| Active repos (90d) | 0 | 0 |
| External contributors | 0 | 2 |
| Avg polish | 28 | 53 |
| Avg AI-readiness | 38 | 37 |