HR Software for small and medium companies
Make things that matter, together. See also @productboardlabs
Factorial vs Productboard
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Factorial (HR Software for small and medium companies) and Productboard (Make things that matter, together. See also @productboardlabs) both appear on the Smoower Developer Ecosystem Index.
Factorial (rank #237) holds a modest lead over Productboard (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 ahead of Productboard. On education (docs, guides and learning material for developers), Factorial is clearly ahead of Productboard. On community (issue response, PR reviews and discussion health), Factorial is ahead of Productboard. On reach (how visible the ecosystem is beyond its own repos), Factorial is slightly ahead of Productboard. On momentum (release cadence and how fast the ecosystem moves), Factorial is ahead of Productboard.
Factorial carries 117 GitHub stars across 70 public repos, with 19 repositories active in the last 90 days and 53 external contributors on record. Productboard shows 90 stars across 87 public repos, 8 active in the last 90 days and 2 external contributors.
Factorial is the stronger read for anyone weighting education. Productboard makes more sense for teams already using its adjacent tools. 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 | Productboard |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #625 |
| Pillars | ||
| Overall | 48 | 33 |
| Code | 57 | 41 |
| Education | 63 | 30 |
| Community | 32 | 16 |
| Reach | 26 | 22 |
| Momentum | 60 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 117 | 90 |
| Forks | 35 | 79 |
| Public repos | 70 | 87 |
| Active repos (90d) | 19 | 8 |
| External contributors | 53 | 2 |
| Avg polish | 47 | 32 |
| Avg AI-readiness | 43 | 34 |