Crisp helps every business deliver a great customer experience. The all-in-one platform for customer support.
Crisp vs Heap
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Crisp (Crisp helps every business deliver a great customer experience. The all-in-one platform for customer support.) and Heap (Product Insights) both appear on the Smoower Developer Ecosystem Index.
Crisp (rank #430) holds a narrow lead over Heap (rank #569) on the overall Smoower ecosystem score (40 vs 35). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Crisp is ahead of Heap. On education (docs, guides and learning material for developers), Crisp is ahead of Heap. On community (issue response, PR reviews and discussion health), Crisp is ahead of Heap. On reach (how visible the ecosystem is beyond its own repos), Heap is clearly ahead of Crisp. On momentum (release cadence and how fast the ecosystem moves), Crisp is ahead of Heap.
Crisp carries 506 GitHub stars across 27 public repos, with 12 repositories active in the last 90 days and 0 external contributors on record. Heap shows 215 stars across 65 public repos, 6 active in the last 90 days and 1 external contributors.
Crisp is the stronger read for anyone weighting code quality. Heap 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 | Crisp | Heap |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #569 |
| Pillars | ||
| Overall | 40 | 35 |
| Code | 49 | 35 |
| Education | 84 | 72 |
| Community | 26 | 14 |
| Reach | 4 | 30 |
| Momentum | 24 | 12 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 506 | 215 |
| Forks | 190 | 105 |
| Public repos | 27 | 65 |
| Active repos (90d) | 12 | 6 |
| External contributors | 0 | 1 |
| Avg polish | 52 | 37 |
| Avg AI-readiness | 34 | 23 |