// projects / case-study · 04

GitHub Archive
trends.

Open-source ecosystem trends — language adoption, repo creation rates, and a BigQuery ML forecasting pass.

// dataset
bigquery-public-data.github_repos
// type
planned
Status: in development — case study lands when the project ships.
// 01 / scope

What's planned.

Use the GitHub Archive BigQuery dataset to map language and ecosystem trends over time — then take a forecasting pass with BigQuery ML to see which patterns are real signal vs. noise.

  • Source: bigquery-public-data.github_repos + githubarchive
  • Modeling: BQ ML for time-series forecasting on language adoption
  • Output: a writeup + small interactive chart
// 02 / planned stack

Stack.

BigQuery BQ ML SQL