15Five vs apaleo
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
15Five and apaleo both appear on the Smoower Developer Ecosystem Index.
apaleo (rank #455) holds a narrow lead over 15Five (rank #693) on the overall Smoower ecosystem score (39 vs 31). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), 15Five is slightly ahead of apaleo. On education (docs, guides and learning material for developers), apaleo is clearly ahead of 15Five. On community (issue response, PR reviews and discussion health), 15Five is clearly ahead of apaleo. On reach (how visible the ecosystem is beyond its own repos), apaleo is ahead of 15Five. On momentum (release cadence and how fast the ecosystem moves), 15Five is ahead of apaleo.
15Five carries 141 GitHub stars across 29 public repos, with 2 repositories active in the last 90 days and 5 external contributors on record. apaleo shows 8 stars across 5 public repos, 2 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but 15Five's footprint is roughly 17.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
15Five is the stronger read for anyone weighting community. apaleo looks better where education 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 | 15Five | apaleo |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #455 |
| Pillars | ||
| Overall | 31 | 39 |
| Code | 42 | 40 |
| Education | 49 | 85 |
| Community | 32 | 11 |
| Reach | 5 | 23 |
| Momentum | 34 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 141 | 8 |
| Forks | 52 | 4 |
| Public repos | 29 | 5 |
| Active repos (90d) | 2 | 2 |
| External contributors | 5 | 1 |
| Avg polish | 38 | 39 |
| Avg AI-readiness | 28 | 32 |