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dlt-hub/dlt

https://github.com/dlt-hub/dlt · scanned 2026-05-15 16:00 UTC (4 weeks ago) · 10 languages

505 raw signals (96 security + 409 graph) 44th percentile · Python · large (100-500K LoC) System graph score 61 (higher by 12)

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Complete repo analysis

Last scanned 4 weeks ago · v1 · 28 actionable findings from 1 signal source. 60 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
63.5
/100
Security checks
66
28 findings
System graph
61
100.0% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 64.7 0.25 16.18
testing_score 100.0 0.20 20.00
documentation_score 80.0 0.15 12.00
practices_score 75.0 0.15 11.25
code_quality 50.0 0.10 5.00
Overall 1.00 73.4
Calibrated penalty buckets (security_score): web: 1.6 · docker: 53.8 · threat: 8.8
Severity distribution — click a segment to filter
Active filters: layer: software × excluding tests × Reset all
Severity: Critical 0 High 9 Medium 7 Low 10 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 28 System graph 0 Crowd 0 Layer: Quality 5 Cicd 19 Security 4
Scan summary Quality grade B (73/100). Dimensions: security 65, maintainability 60. 96 findings (3 security). 296,049 lines analyzed.

Showing 0 of 28 actionable findings. 88 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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