Communicate incidents and maintenance effortlessly with a status page
Fillout vs StatusPal
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fillout and StatusPal (Communicate incidents and maintenance effortlessly with a status page) both appear on the Smoower Developer Ecosystem Index.
Fillout and StatusPal sit at essentially the same overall ecosystem score (37), which is unusual and worth reading through the pillars below.
On education (docs, guides and learning material for developers), StatusPal is clearly ahead of Fillout. On community (issue response, PR reviews and discussion health), Fillout is ahead of StatusPal. On reach (how visible the ecosystem is beyond its own repos), Fillout is ahead of StatusPal. On momentum (release cadence and how fast the ecosystem moves), Fillout is ahead of StatusPal.
Fillout carries 2 GitHub stars across 9 public repos, with 3 repositories active in the last 90 days and 3 external contributors on record. StatusPal shows 10 stars across 24 public repos, 2 active in the last 90 days and 2 external contributors. The star gap on its own does not decide the comparison, but StatusPal's footprint is roughly 5.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fillout is the stronger read for anyone weighting community. StatusPal 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 | Fillout | StatusPal |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #510 |
| Pillars | ||
| Overall | 37 | 37 |
| Code | 34 | 34 |
| Education | 53 | 84 |
| Community | 27 | 12 |
| Reach | 50 | 40 |
| Momentum | 15 | 4 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2 | 10 |
| Forks | 4 | 5 |
| Public repos | 9 | 24 |
| Active repos (90d) | 3 | 2 |
| External contributors | 3 | 2 |
| Avg polish | 34 | 28 |
| Avg AI-readiness | 21 | 31 |