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By feribg
Submitted: May 09 2014 / 14:58

Open source developers all over the world contribute to millions of projects every day on GitHub: writing and reviewing code, filing and discussing bug reports, updating documentation and project wikis, and so forth. The data generated from this activity can reveal interesting trends across many industries, including popularity of programming languages over time, defect rates, contribution metrics, and popularity of specific frameworks and libraries. To help us extract the insights from the public GitHub timeline which generated hundreds of thousands of daily events, we imported the entire dataset into Google BigQuery. This makes data about tens of millions of open source commits and discussions accessible to the world for quick interactive analysis. With that, we can run our analysis...
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