How Textgrad scored a D.

• code

  27/100
  • ✓ Contributors & bus-factor: 21 recent contributors
  • ↓ Commit recency: last commit 454d ago
  • ↓ Commit cadence: 0 commits in 90 days
  • ✓ Issue close ratio: 63% of issues closed
  • ↓ Release cadence: 0 releases in 12 months
  • ✓ Stars (log-damped): 3,769 stars (log-damped)
  • – Star authenticity: star-velocity check unavailable — GitHub no longer publishes stargazer timestamps for this repo
  • ↓ Dependent repos: no public repos depend on it yet

• identity

  Not measured
  • – Identity: no verified provenance yet

• audits

  Not measured
  • – Third-party scans: no third-party scan data from listed registries

• freshness

  30/100
  • ↓ Last shipped: last commit 454d ago — fast-churn frameworks are expected to ship about every 60d
  • ✓ Registry listing: still listed on a registry 1d ago

• community

  36/100
  • – Recommends: no recommends from gate-passing builders yet
  • ✓ Hacker News mentions: 2 Hacker News stories pointing at this tool
  • – Signal depth: sparse data — this is an early reading from very few data points

Components that could not be measured are left out of the average entirely, and their weight is redistributed, never scored as zero. Identity and Community are left out the same way when they would not have raised the score. How scores are calculated.