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scikit-learn/scikit-learn

https://github.com/scikit-learn/scikit-learn · scanned 2026-05-15 09:54 UTC (3 weeks ago) · 10 languages

548 findings (26 legacy + 522 scanner) 51st percentile · Python · large (100-500K LoC)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 20 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
74.5
/100
Repobility
75
20 legacy
9-layer
74
88.9% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 90.0 0.25 22.50
testing_score 95.0 0.20 19.00
documentation_score 65.0 0.15 9.75
practices_score 65.0 0.15 9.75
code_quality 50.0 0.10 5.00
Overall 1.00 75.0
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 13 Medium 3 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 20 9-layer 0 Crowd 0 Layer: Security 5 Quality 15

Last 1 scan of this repo. Each new scan persists a full payload — historical comparison is exact, not lossy.

v1
May 15 09:53
v#IDStatusScoreGapsNodesCommitStarted
v scan_8682c78ccb58 ok 74.0 522 12288 d417899 May 15 09:53
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