Product Insights
Heap vs KAYAK
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Heap (Product Insights) and KAYAK both appear on the Smoower Developer Ecosystem Index.
KAYAK (rank #485) holds a narrow lead over Heap (rank #569) on the overall Smoower ecosystem score (38 vs 35). 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), KAYAK is clearly ahead of Heap. On education (docs, guides and learning material for developers), Heap is ahead of KAYAK. On community (issue response, PR reviews and discussion health), KAYAK is ahead of Heap. On reach (how visible the ecosystem is beyond its own repos), KAYAK is ahead of Heap. On momentum (release cadence and how fast the ecosystem moves), KAYAK is clearly ahead of Heap.
Heap carries 215 GitHub stars across 65 public repos, with 6 repositories active in the last 90 days and 1 external contributors on record. KAYAK shows 3,186 stars across 72 public repos, 4 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but KAYAK's footprint is roughly 14.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Heap is the stronger read for anyone weighting education. KAYAK 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 | Heap | KAYAK |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #485 |
| Pillars | ||
| Overall | 35 | 38 |
| Code | 35 | 59 |
| Education | 72 | 59 |
| Community | 14 | 30 |
| Reach | 30 | 44 |
| Momentum | 12 | 36 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 215 | 3,186 |
| Forks | 105 | 462 |
| Public repos | 65 | 72 |
| Active repos (90d) | 6 | 4 |
| External contributors | 1 | 1 |
| Avg polish | 37 | 56 |
| Avg AI-readiness | 23 | 44 |