← Memory Lancedb Pro
How Memory Lancedb Pro scored an A.
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.
A
81/100
GitHub credibility score
- ✓ Contributors & bus-factor — 11 recent contributors
- ✓ Commit recency — last commit 1d ago
- ✓ Commit cadence — 119 commits in 90 days
- ✓ Issue close ratio — 90% of issues closed
- ✓ Release cadence — 37 releases in 12 months
- ✓ Stars (log-damped) — 4,456 stars (log-damped)
- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — healthy engagement (0.38 per star)
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 11 recent contributors | 20% | +4 |
| Commit recency | last commit 1d ago | 20% | +20 |
| Commit cadence | 119 commits in 90 days | 15% | +15 |
| Issue close ratio | 90% of issues closed | 15% | +13 |
| Release cadence | 37 releases in 12 months | 15% | +15 |
| Stars (log-damped) | 4,456 stars (log-damped) | 15% | +13 |
| Quality subtotal (Q) | 100% | 80 | |
Authenticity multiplier (A)
× 1.00- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — healthy engagement (0.38 per star)
Quality 80 × authenticity 1.00 = 81/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.