pandas-dev/pandas-stubs

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38 of your 41 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 1.89s · analysis 4.19s · 2.5 MB · GitHub preflight 673ms

https://github.com/pandas-dev/pandas-stubs · scanned 2026-06-05 18:25 UTC (4 days, 19 hours ago) · 10 languages

86 raw signals (40 security + 46 graph) 81st percentile · Python · medium (20-100K LoC) System graph score 100 (lower by 20)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 19 hours ago · v2 · 53 actionable findings from 2 signal sources. 10 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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88.9% cov · 23 findings

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`	92.0	0.20	18.40
`documentation_score`	72.0	0.15	10.80
`practices_score`	75.0	0.15	11.25
`code_quality`	58.4	0.10	5.84
Overall		1.00	80.3

Severity distribution — click a segment to filter

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Severity: Critical 0 High 2 Medium 3 Low 16 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 30 System graph 23 Crowd 0 Layer: Security 2 Quality 45 Software 4 Api 1 Frontend 1

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 1 finding

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

1 matching finding on this repo

low Near-duplicate function bodies in 2 places

View all duplicates & near-duplicates findings →

Commented-out code 3 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

3 matching findings on this repo

info Commented-code block (9 lines) in tests/_typing.py:1
info Commented-code block (5 lines) in tests/series/test_series.py:502
info Commented-code block (5 lines) in tests/series/test_sub.py:239

View all commented-out code findings →

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