← Graph Memory
How Graph Memory 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
27/100
GitHub credibility score
- ✓ Contributors & bus-factor — 3 recent contributors — concentrated
- ✓ Commit recency — last commit 104d ago
- ↓ Commit cadence — 0 commits in 90 days
- ✓ Issue close ratio — 9% of issues closed
- ✓ Release cadence — 1 releases in 12 months
- ✓ Stars (log-damped) — 502 stars (log-damped)
- ↓ Star authenticity — star velocity 12.2× baseline — burst discounted
- ✓ Engagement-to-star ratio — healthy engagement (0.28 per star)
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 3 recent contributors — concentrated | 20% | +1 |
| Commit recency | last commit 104d ago | 20% | +14 |
| Commit cadence | 0 commits in 90 days | 15% | +0 |
| Issue close ratio | 9% of issues closed | 15% | +1 |
| Release cadence | 1 releases in 12 months | 15% | +4 |
| Stars (log-damped) | 502 stars (log-damped) | 15% | +9 |
| Quality subtotal (Q) | 100% | 29 | |
Authenticity multiplier (A)
× 0.90- ↓ Star authenticity — star velocity 12.2× baseline — burst discounted
- ✓ Engagement-to-star ratio — healthy engagement (0.28 per star)
Quality 29 × authenticity 0.90 = 27/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.