Deezer vs Frappe
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Deezer and Frappe (We build world class open-source software products.) both appear on the Smoower Developer Ecosystem Index.
Frappe (rank #141) holds a modest lead over Deezer (rank #536) on the overall Smoower ecosystem score (53 vs 36). The gap of 17 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Frappe is clearly ahead of Deezer. On community (issue response, PR reviews and discussion health), Deezer is slightly ahead of Frappe. On reach (how visible the ecosystem is beyond its own repos), Frappe is ahead of Deezer. On momentum (release cadence and how fast the ecosystem moves), Frappe is clearly ahead of Deezer.
Deezer carries 29,854 GitHub stars across 99 public repos, with 5 repositories active in the last 90 days and 2 external contributors on record. Frappe shows 107,553 stars across 207 public repos, 62 active in the last 90 days and 174 external contributors. The star gap on its own does not decide the comparison, but Frappe's footprint is roughly 3.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Deezer is the stronger read for anyone weighting community. Frappe looks better where momentum 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 | Deezer | Frappe |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #141 |
| Pillars | ||
| Overall | 36 | 53 |
| Code | 41 | 69 |
| Education | 79 | 79 |
| Community | 61 | 55 |
| Reach | 11 | 20 |
| Momentum | 9 | 77 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 29,854 | 107,553 |
| Forks | 3,369 | 38,137 |
| Public repos | 99 | 207 |
| Active repos (90d) | 5 | 62 |
| External contributors | 2 | 174 |
| Avg polish | 47 | 73 |
| Avg AI-readiness | 28 | 53 |