HR Software for small and medium companies
Factorial vs Starling Bank
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Factorial (HR Software for small and medium companies) and Starling Bank both appear on the Smoower Developer Ecosystem Index.
Factorial (rank #237) holds a modest lead over Starling Bank (rank #625) on the overall Smoower ecosystem score (48 vs 33). The gap of 15 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Factorial is slightly ahead of Starling Bank. On education (docs, guides and learning material for developers), Factorial is slightly ahead of Starling Bank. On community (issue response, PR reviews and discussion health), Factorial is clearly ahead of Starling Bank. On reach (how visible the ecosystem is beyond its own repos), Starling Bank is clearly ahead of Factorial. On momentum (release cadence and how fast the ecosystem moves), Factorial is ahead of Starling Bank.
Factorial carries 117 GitHub stars across 70 public repos, with 19 repositories active in the last 90 days and 53 external contributors on record. Starling Bank shows 195 stars across 3 public repos, 3 active in the last 90 days and 0 external contributors.
Factorial is the stronger read for anyone weighting community. Starling Bank 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 | Factorial | Starling Bank |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #625 |
| Pillars | ||
| Overall | 48 | 33 |
| Code | 57 | 50 |
| Education | 63 | 55 |
| Community | 32 | 9 |
| Reach | 26 | 63 |
| Momentum | 60 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 117 | 195 |
| Forks | 35 | 29 |
| Public repos | 70 | 3 |
| Active repos (90d) | 19 | 3 |
| External contributors | 53 | 0 |
| Avg polish | 47 | 58 |
| Avg AI-readiness | 43 | 14 |