- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
01Result
materialsproject/pymatgen ↗materialsproject/pymatgen AI coding statistics: 6.7%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
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
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 0% | 39 |
| 2026-03 | 0% | 41 |
| 2026-04 | 0% | 21 |
| 2026-05 | 22.2% | 36 |
| 2026-06 | 0% | 2 |
| 2026-07 | 17.6% | 17 |
| 2026-08 | 0% | 8 |
Peak month: 22.2%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 11 | 6.7% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
dbdd71d6on GitHubfix(magnetism): respect truncate_by_symmetry count in MagneticStructureEnuClaude Codee8808b57on GitHubDiffraction pattern optimizations (#4684)Claude Code0894950aon GitHubfix(ci): point workflow branch filters at main not masterClaude Code
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 | 205 |
| Merge commits removed | −10 |
| CI / dependency bots removed | −31 |
| Considered | 164 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
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 materialsproject/pymatgen