Ecwid vs Zammad
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Ecwid and Zammad both appear on the Smoower Developer Ecosystem Index.
Zammad (rank #484) holds a narrow lead over Ecwid (rank #728) on the overall Smoower ecosystem score (38 vs 30). 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), Zammad is ahead of Ecwid. On education (docs, guides and learning material for developers), Ecwid is slightly ahead of Zammad. On community (issue response, PR reviews and discussion health), Zammad is ahead of Ecwid. On reach (how visible the ecosystem is beyond its own repos), Zammad is clearly ahead of Ecwid. On momentum (release cadence and how fast the ecosystem moves), Zammad is clearly ahead of Ecwid.
Ecwid carries 1,169 GitHub stars across 43 public repos, with 6 repositories active in the last 90 days and 10 external contributors on record. Zammad shows 6,409 stars across 11 public repos, 9 active in the last 90 days and 27 external contributors. The star gap on its own does not decide the comparison, but Zammad's footprint is roughly 5.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Ecwid is the stronger read for anyone weighting education. Zammad 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 | Ecwid | Zammad |
|---|---|---|
| Ranking | ||
| Overall rank | #728 | #484 |
| Pillars | ||
| Overall | 30 | 38 |
| Code | 44 | 54 |
| Education | 57 | 56 |
| Community | 31 | 45 |
| Reach | 0 | 51 |
| Momentum | 12 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,169 | 6,409 |
| Forks | 623 | 1,691 |
| Public repos | 43 | 11 |
| Active repos (90d) | 6 | 9 |
| External contributors | 10 | 27 |
| Avg polish | 48 | 60 |
| Avg AI-readiness | 22 | 30 |