Computed from git metadata only; no source code contents were read.
touch-weighted · 3-year history window · last commit 14d ago · scores are comparable only against same-mode scans
Modules ranked by comprehension risk: the unknown share, amplified by ongoing change and thin ownership. The green meter is living knowledge.
| Module | Risk | Living knowledge | AI-attr. | Inactive | Bus | Heat/180d |
|---|---|---|---|---|---|---|
| numpy/random | MED 51 | 49% | 0% | 56% | 1 | 64 |
| numpy/lib | LOW 49 | 51% | 0% | 61% | 1 | 95 |
| doc | LOW 49 | 47% | 0% | 55% | 2 | 209 |
| numpy/linalg | LOW 49 | 50% | 0% | 58% | 1 | 44 |
| numpy/f2py | LOW 47 | 53% | 0% | 51% | 1 | 104 |
| numpy/typing | LOW 42 | 58% | 0% | 45% | 1 | 211 |
| numpy/ma | LOW 42 | 58% | 0% | 53% | 1 | 57 |
| numpy/tests | LOW 42 | 49% | 0% | 64% | 0 | 15 |
| (root) | LOW 41 | 59% | 0% | 42% | 1 | 46 |
| numpy/polynomial | LOW 41 | 55% | 0% | 59% | 1 | 30 |
| benchmarks | LOW 39 | 51% | 0% | 61% | 1 | 10 |
| numpy/_pyinstaller | LOW 39 | 49% | 0% | 54% | 0 | 1 |
| meson_cpu | LOW 39 | 49% | 0% | 50% | 1 | 1 |
| numpy/_core | LOW 38 | 58% | 0% | 47% | 2 | 1030 |
| numpy/matrixlib | LOW 38 | 50% | 0% | 60% | 0 | 2 |
| tools | LOW 37 | 50% | 0% | 56% | 2 | 17 |
| numpy | LOW 36 | 64% | 0% | 41% | 1 | 95 |
| numpy/testing | LOW 36 | 55% | 0% | 54% | 2 | 26 |
| branding | LOW 36 | 42% | 0% | 58% | 3 | 0 |
| numpy/distutils | LOW 35 | 43% | 0% | 58% | 3 | 0 |
One commit touched 63% of every file changed in this window. Wide, shallow commits, a formatter run or a license-header pass, add weight for their author across the whole surface while changing little. Worth looking at what that commit was before crediting the score to its author.
Public-repo caveat: "departed" includes drive-by contributors, overstating attrition relative to a company repo with a real roster. Engagement is a proxy for comprehension. Treat it as a potential indicator rather than a diagnosis.