Learning Engagement Platform
360Learning vs Factorial
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
360Learning (Learning Engagement Platform) and Factorial (HR Software for small and medium companies) both appear on the Smoower Developer Ecosystem Index.
Factorial (rank #237) holds a modest lead over 360Learning (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 clearly ahead of 360Learning. On education (docs, guides and learning material for developers), Factorial is ahead of 360Learning. On community (issue response, PR reviews and discussion health), Factorial is ahead of 360Learning. On reach (how visible the ecosystem is beyond its own repos), Factorial is ahead of 360Learning. On momentum (release cadence and how fast the ecosystem moves), Factorial is clearly ahead of 360Learning.
360Learning carries 120 GitHub stars across 10 public repos, with 2 repositories active in the last 90 days and 1 external contributors on record. Factorial shows 117 stars across 70 public repos, 19 active in the last 90 days and 53 external contributors.
360Learning is worth a look for teams already invested in its stack. Factorial 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 | 360Learning | Factorial |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #237 |
| Pillars | ||
| Overall | 33 | 48 |
| Code | 36 | 57 |
| Education | 50 | 63 |
| Community | 22 | 32 |
| Reach | 11 | 26 |
| Momentum | 10 | 60 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 120 | 117 |
| Forks | 87 | 35 |
| Public repos | 10 | 70 |
| Active repos (90d) | 2 | 19 |
| External contributors | 1 | 53 |
| Avg polish | 29 | 47 |
| Avg AI-readiness | 29 | 43 |