← Maestro
How Maestro scored a D.
Public-signal score, discounted for bought-star and bot-stargazer patterns — not a user rating. How scores are calculated.
01 / Breakdown
Derived from GitHub, not voted.
D
43/100
GitHub credibility score
- ↓ Contributors & bus-factor — 1 recent contributor — concentrated
- ✓ Commit recency — last commit 13d ago
- ✓ Commit cadence — 481 commits in 90 days
- ↓ Issue close ratio — 0% of issues closed
- ✓ Release cadence — 56 releases in 12 months
- ✓ Stars (log-damped) — 217 stars (log-damped)
- ↓ Star authenticity — star velocity 22.2× baseline — burst discounted
- ✓ Engagement-to-star ratio — healthy engagement (0.44 per star)
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 1 recent contributor — concentrated | 20% | +0 |
| Commit recency | last commit 13d ago | 20% | +19 |
| Commit cadence | 481 commits in 90 days | 15% | +15 |
| Issue close ratio | 0% of issues closed | 15% | +0 |
| Release cadence | 56 releases in 12 months | 15% | +15 |
| Stars (log-damped) | 217 stars (log-damped) | 15% | +8 |
| Quality subtotal (Q) | 100% | 57 | |
Authenticity multiplier (A)
× 0.75- ↓ Star authenticity — star velocity 22.2× baseline — burst discounted
- ✓ Engagement-to-star ratio — healthy engagement (0.44 per star)
Quality 57 × authenticity 0.75 = 43/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.