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111 of your 215 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.
Upstream (GitHub) caused delay on this scan — not Repobility.
  • GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
  • Clone from GitHub took 55.23s for a 60.1 MB repo slow.
  • Repobility's analysis ran in 8.59s after the clone landed.

freqtrade/freqtrade

https://github.com/freqtrade/freqtrade · scanned 2026-06-05 11:41 UTC (1 week, 2 days ago) · 10 languages

603 raw signals (197 security + 406 graph) 11/13 scanners ran 90th percentile · Python · large (100-500K LoC) System graph score 63 (higher by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 2 days ago · v2 · 274 actionable findings from 2 signal sources. 126 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
72.7
/100
Security checks
83
92 findings
System graph
63
100.0% cov · 182 findings
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 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 100.0 0.20 20.00
documentation_score 98.0 0.15 14.70
practices_score 94.0 0.15 14.10
code_quality 52.0 0.10 5.20
Overall 1.00 88.0
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 61 Medium 10 Low 128 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 92 System graph 182 Crowd 0 Layer: Quality 120 Security 56 Cicd 10 Software 33 Hardware 4 Frontend 1 Api 50
Scan summary Quality grade A- (88/100). Dimensions: security 100, maintainability 60. 197 findings (44 security). 139,633 lines analyzed.

Showing 0 of 274 actionable findings. 400 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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