apaleo vs Patreon
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
apaleo and Patreon both appear on the Smoower Developer Ecosystem Index.
apaleo (rank #455) holds a narrow lead over Patreon (rank #536) on the overall Smoower ecosystem score (39 vs 36). 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 apaleo. On education (docs, guides and learning material for developers), apaleo is clearly ahead of Patreon. On community (issue response, PR reviews and discussion health), Patreon is ahead of apaleo. On reach (how visible the ecosystem is beyond its own repos), Patreon is clearly ahead of apaleo. On momentum (release cadence and how fast the ecosystem moves), apaleo is clearly ahead of Patreon.
apaleo carries 8 GitHub stars across 5 public repos, with 2 repositories active in the last 90 days and 1 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 105.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
apaleo is the stronger read for anyone weighting momentum. 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 | apaleo | Patreon |
|---|---|---|
| Ranking | ||
| Overall rank | #455 | #536 |
| Pillars | ||
| Overall | 39 | 36 |
| Code | 40 | 52 |
| Education | 85 | 63 |
| Community | 11 | 26 |
| Reach | 23 | 61 |
| Momentum | 24 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 8 | 846 |
| Forks | 4 | 220 |
| Public repos | 5 | 62 |
| Active repos (90d) | 2 | 0 |
| External contributors | 1 | 2 |
| Avg polish | 39 | 53 |
| Avg AI-readiness | 32 | 37 |