GitHub AI Agent Trends

Turn GitHub repository data, recent star growth, categories, and quality signals into a dataset and trend app that stay up to date.

GoalfyData turns GitHub AI Agent trend data into a reusable dataset and further generates a trend analysis app.

3 data tables2 relationships3 governance rules1 trend analysis app
GitHub TrendsOpen-source projectsDatasetData appAgent workflow

Generated dataset

GoalfyData organizes GitHub AI agent trends into a reusable dataset containing collection runs, repository details, category statistics, usage guidance, and governance rules.

Data table structure

Tables
github_agent_trend_runsRun snapshot and data quality
github_agent_trend_reposRepository details and trend score
github_agent_trend_category_statsCategory summary and growth
affaan-m/ECC+42,301 stars / 30d
garrytan/gstack+32,982 stars / 30d
obra/superpowers+27,669 stars / 30d

What this case shows

1

A dataset that stays up to date

Trending repositories, star growth, and category statistics become a reusable dataset instead of a one-time search result.

2

An app powered by the latest data

A trend analysis app can continuously present hot repositories, category distribution, and data quality changes from the dataset.

Explore more examples

See how GoalfyData turns data into reusable datasets and apps across different business scenarios.

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