AI Dev Impact Lab JA
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ABOUT

AI Dev Impact Lab

Independent monthly dashboard. Random samples of GitHub repos are classified along two orthogonal axes — (a) repos developed with AI coding tools, (b) repos that depend on AI SDKs — plus 13 adoption rankings (LLM providers, frameworks, vector DBs, models, etc.).

2,703
AI repos
1,046
tool signals
900
AI summaries
377
tracked keywords

SCOPE What we measure

CATEGORIES 13 tracked categories

⌨️

AI coding tools

💻

Programming languages

🏷️

GitHub Topics

🧠

LLM providers

🧩

AI frameworks

🌐

Web/App frameworks

☁️

Cloud/hosting platforms

🔐

Auth services

🗄️

Vector databases

💾

General databases

🤖

LLM models

🔢

Embedding models

🤝

Agent frameworks

POLICY Operating policy

Concrete numbers, not abstract scores

The site leads with concrete counts — how many AI repos this month, how many mention each tool / LLM / framework. A composite score (2021 avg = 100) is shown as an auxiliary signal.

→ methodology

Open about every data source

GitHub GraphQL / REST Search / Code Search, GH Archive (BigQuery), OpenAI gpt-5-mini (README summarization) — every source and transformation is documented.

→ data sources

Monthly reports summarize trends

A monthly report is auto-generated and published on the 1st of each month, summarizing the previous month with strict factual reporting (no fabrication).

→ reports

Updated daily

Daily 01:10 JST: discover new AI repos and refresh scores. Weekly + monthly aggregation jobs run on schedule.

current aggregation month: 2026-05

OPERATION Operation

Independently operated. Data retrieved from GitHub public APIs and GH Archive (BigQuery). For data accuracy concerns or feedback, please contact us . Source repository content remains under its original copyright.