Review economics
pandas-dev/pandas
Read from the 100 most recently merged pull requests ·
Pull requests with attributed agent authorship took only 0.2× the reviews submitted of the rest.
≥48%
Attributed
a floor
59
Attributed PRs
41
Other PRs
100
Read
Attributed — the latest 5
#66487 PERF: read_csv integer fast path using fast_float's digit helpers
0 reviews · 8.9d to merge
#66124 PERF: single-pass composite-key factorization for multi-key merges
0 reviews · 33.9d to merge
#66121 PERF: merge_asof with by
0 reviews · 33.9d to merge
#66619 PERF: read_csv string columns, cutting per-column-chunk GIL work
0 reviews · 8h to merge
#66578 PERF: release the GIL in the sorted merge-join indexers
1 reviews · 39h to merge
The rest — the latest 5
#66381 DOC: Fix halflife math rendering in DataFrame.ewm
7 reviews · 17.0d to merge
#65102 BUG: Fix merge not upcasting datetime64 join key to highest resolution for inner/left joins
8 reviews · 120.9d to merge
#66628 Bump pypa/gh-action-pypi-publish from 1.14.1 to 1.14.2
0 reviews · 10h to merge
#66627 Bump the codeql-action group with 3 updates
0 reviews · 10h to merge
#66629 Bump zizmorcore/zizmor-action from 0.6.1 to 0.6.2
1 reviews · 10h to merge
How this was measured
48% of merged commits carry agent attribution — a floor, not the share; tools that only complete code inline leave no commit trail, so the unattributed side includes AI-assisted work; reads 100 of 29293 merged PRs — the rest have not been analyzed yet.
Detected: Claude Code.
“Attributed” means a commit carried an agent’s signature — a co-author trailer, an agent commit identity, or an agent bot account. Tools that only complete code inline leave no such mark, so the other column is “rest”, not “human-written”. Full method and its limits
The badge reads this repo’s current report, so it follows the number.
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