Asana vs Heap
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Asana and Heap (Product Insights) both appear on the Smoower Developer Ecosystem Index.
Asana (rank #338) holds a narrow lead over Heap (rank #569) on the overall Smoower ecosystem score (43 vs 35). 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), Asana is ahead of Heap. On education (docs, guides and learning material for developers), Heap is slightly ahead of Asana. On community (issue response, PR reviews and discussion health), Asana is ahead of Heap. On reach (how visible the ecosystem is beyond its own repos), Asana is slightly ahead of Heap. On momentum (release cadence and how fast the ecosystem moves), Asana is slightly ahead of Heap.
Asana carries 1,843 GitHub stars across 34 public repos, with 8 repositories active in the last 90 days and 2 external contributors on record. Heap shows 215 stars across 65 public repos, 6 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Asana's footprint is roughly 8.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Asana is the stronger read for anyone weighting community. Heap 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 | Asana | Heap |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #569 |
| Pillars | ||
| Overall | 43 | 35 |
| Code | 49 | 35 |
| Education | 70 | 72 |
| Community | 29 | 14 |
| Reach | 38 | 30 |
| Momentum | 16 | 12 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,843 | 215 |
| Forks | 598 | 105 |
| Public repos | 34 | 65 |
| Active repos (90d) | 8 | 6 |
| External contributors | 2 | 1 |
| Avg polish | 44 | 37 |
| Avg AI-readiness | 43 | 23 |