Dataset: 2026-10-27-catalog-ai-v2
Ruleset: b2e8889c66f7
Scanned: 2026-10-27
Window: February–September 15, 2026

Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

A community based Python library for quantitative economics

01Result

QuantEcon/QuantEcon.py ↗

QuantEcon/QuantEcon.py AI coding statistics: 61.7%

of 47 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 47 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

61.7% agent · top contributor 44.8%6 contributors

team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

agent commits

other considered commits

agent contributors

44.8%

largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

29assisted

0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Peak month: 80%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	26	55.3%
GitHub Copilot	GitHub	2	4.3%
Cursor Agent	Anysphere	2	4.3%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

4cbe3bbe on GitHubMAINT: Migrate np.dot()/.dot() to @ in the test suite (#798)Claude Code
e7b86e53 on GitHubTEST: run docstring examples without comparing output (#866) (#920)Claude Code
62f67159 on GitHubDOC: repo-wide documentation consistency audit (#864)Claude Code
4cbe3bbe on GitHubMAINT: Migrate np.dot()/.dot() to @ in the test suite (#798)GitHub Copilot
866de516 on GitHubRFC: avoid redundant `np.eye` and precompute identity matrix in `howson_lcGitHub Copilot
8095a36b on GitHubAdd tests for Kalman.stationary_coefficients (#837)Cursor Agent
201618df on GitHubFix Read the Docs build OS configuration (#838)Cursor Agent

04Method

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window	51
Merge commits removed	−0
CI / dependency bots removed	−4
Considered	47

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →Cursor Agent commitsBrowse repositories with detected Cursor Agent signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →

Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli QuantEcon/QuantEcon.py

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	3
2026-03	0%	2
2026-04	50%	2
2026-06	80%	5
2026-07	73.7%	19
2026-08	62.5%	8
2026-09	62.5%	8