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Scan timing: clone 1.44s · analysis 0.02s · GitHub preflight 435ms

khotarpita2907/demographic_data_analyzer.py

https://github.com/khotarpita2907/demographic_data_analyzer.py.git · scanned 2026-05-26 07:01 UTC (1 week, 3 days ago) · 10 languages

17 findings (5 legacy + 12 scanner) 4th percentile · Python · tiny (<2K LoC) Scanner says 79 (lower by 37)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 3 days ago · v2 · 11 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
68.0
/100
Repobility
57
5 legacy
9-layer
79
66.7% cov · 6 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 30.0 0.15 4.50
security_score 100.0 0.25 25.00
testing_score 0.0 0.20 0.00
documentation_score 0.0 0.15 0.00
practices_score 30.0 0.15 4.50
code_quality 80.0 0.10 8.00
Overall 1.00 42.0
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 5 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 5 9-layer 6 Crowd 0 Layer: Quality 6 Software 1 Api 1 Frontend 1 Security 1 Cicd 1

All 2 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
repobility-clone-8r1x20x8 software healthy /tmp/repobility-clone-8r1x20x8

LabelLayerStatusPath
demographic_data_analyzer.py software warning demographic_data_analyzer.py
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