josephmisiti/awesome-machine-learning

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Scan timing: clone 2.6s · analysis 1.86s · 0.3 MB · GitHub API rate-limit (preflight)

https://github.com/josephmisiti/awesome-machine-learning · scanned 2026-06-05 08:08 UTC (5 days, 20 hours ago) · 10 languages

18 raw signals (6 security + 12 graph) 76th percentile · Python · tiny (<2K LoC) System graph score 81 (lower by 7)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 20 hours ago · v2 · 10 actionable findings from 2 signal sources. 2 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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66.7% cov · 6 findings

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`	70.0	0.20	14.00
`documentation_score`	75.0	0.15	11.25
`practices_score`	70.0	0.15	10.50
`code_quality`	80.0	0.10	8.00
Overall		1.00	73.2

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 5 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 4 System graph 6 Crowd 0 Layer: Quality 3 Software 3 Api 1 Frontend 1 Security 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Quality grade B (73/100). Dimensions: security 100, maintainability 30. 6 findings (3 security). 30 lines analyzed.

Showing 6 of 10 actionable findings. 12 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.

medium Security checks quality Practices conf 1.00 [CFG006] Missing .gitignore: No .gitignore file. Risk of committing secrets and build artifacts.

Add a .gitignore appropriate for your language/framework.

medium Security checks software dependencies conf 0.90 ✓ Repobility 3 occurrences requirements.txt: `pyquery` has no version pin

Unpinned pip requirement means every fresh install may resolve a different version. Newer releases can introduce malicious code (typosquats, account compromises). Reproducible installs need exact pins.

lines 1, 2, 3

scripts/requirements.txt:1, 2, 3 (3 hits)

medium System graph security Coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.

auth

medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected

No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.

CI/CD securityCoverage

medium System graph quality Tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

low System graph software Dead code candidate conf 1.00 File has no detected symbols: scripts/pull_R_packages.py

Source file with no class/function declarations — possible config, dead code, or scratch file.

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