Dialpad vs Formbricks
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Dialpad and Formbricks (Open Source Qualtrics Alternative) both appear on the Smoower Developer Ecosystem Index.
Formbricks (rank #237) holds a narrow lead over Dialpad (rank #317) on the overall Smoower ecosystem score (48 vs 44). The gap of 4 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Dialpad is slightly ahead of Formbricks. On community (issue response, PR reviews and discussion health), Formbricks is clearly ahead of Dialpad. On reach (how visible the ecosystem is beyond its own repos), Dialpad is clearly ahead of Formbricks. On momentum (release cadence and how fast the ecosystem moves), Formbricks is ahead of Dialpad.
Dialpad carries 111 GitHub stars across 25 public repos, with 5 repositories active in the last 90 days and 19 external contributors on record. Formbricks shows 12,675 stars across 18 public repos, 9 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but Formbricks's footprint is roughly 114.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Dialpad is the stronger read for anyone weighting reach. Formbricks looks better where community 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 | Dialpad | Formbricks |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #237 |
| Pillars | ||
| Overall | 44 | 48 |
| Code | 53 | 53 |
| Education | 72 | 67 |
| Community | 20 | 47 |
| Reach | 57 | 36 |
| Momentum | 15 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 111 | 12,675 |
| Forks | 45 | 2,459 |
| Public repos | 25 | 18 |
| Active repos (90d) | 5 | 9 |
| External contributors | 19 | 6 |
| Avg polish | 54 | 57 |
| Avg AI-readiness | 38 | 37 |