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.

兼容android11、android 10，相机拍照，相册选择(单选/多选)，文件夹图片选择(单选/多选)，视频选择，视频图片多类型复杂选择，各界面根据状态栏颜色智能适配状态栏字体颜色变色为深色或浅色，根据使用场景智能适配沉浸式状态栏，内部处理运行时权限，支持Glide/Picasso/Imageloader等所有图片加载框架库的带默认勾选选中图片的能填充自定义广告的自定义Ui相机相册图片浏览选择器；更有拼图/文字贴纸/贴图/图片缩放/Bitmap图片添加水印/媒体文件更新到媒体库等众多Bitmap图片编辑功能的android Bitmap图片处理工具框架库。

01Result

HuanTanSheng/EasyPhotos ↗

HuanTanSheng/EasyPhotos AI coding statistics: 0%

of 0 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 0 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

No signed agent commits found

No agent signatures were found in the last 0 considered commits. That is a real result, not a failure to measure.

It does not mean no AI was used here. A developer can use an agent and commit by hand without leaving a detectable git signature.

agent commits

other considered commits

—

agent contributors

—

largest contributor

02Drivers

What shapes this result

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

No agent signatures were detected, so there are no agent, mode, or timing drivers to break down.

03Evidence

Inspect the matches

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

No matched commit samples are available for this observation.

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	0
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	0

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

Continue exploring

Java AI coding statisticsCompare evidence across Java 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 HuanTanSheng/EasyPhotos

Scan another repository

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