GitHub is how people build software and is home to the largest community of open source developers in the world, with over 12 million people contributing to 31 million projects on GitHub since 2008. This 3TB+ dataset comprises the largest released source of GitHub activity to date. It contains a full snapshot of the content of more than 2.8 million open source GitHub repositories including more than 145 million unique commits, over 2 billion different file paths, and the contents of the latest revision for 163 million files, all of which are searchable with regular expressions. Querying BigQuery tables You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at `bigquery-public-data.github_repos.[TABLENAME]`. **[Fork this kernel to get started][1]** to learn how to safely manage analyzing large BigQuery datasets. Acknowledgements This dataset was made available per [GitHub's terms of service](https://help.github.com/articles/github-terms-of-service/). This dataset is available via Google Cloud Platform's Marketplace, [GitHub Activity Data][2], as part of [GCP Public Datasets][3]. Inspiration - This is the perfect dataset for fighting language wars. - Can you identify any signals that predict which packages or languages will become popular, in advance of their mass adoption? [1]: https://www.kaggle.com/mrisdal/safely-analyzing-github-projects-popular-licenses [2]: https://console.cloud.google.com/marketplace/details/github/github-repos [3]: https://cloud.google.com/public-datasets/