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Jupyter Community Activity

This is a collection of Jupyter Notebooks that are templatized and meant to be run with the papermill library. It is automatically run each day via a CRON job on GitHub actions, and generates a website with reports for various communities in the Jupyter ecosystem at https://predictablynoisy.com/jupyter-activity-snapshot/.

Structure of this repository

  • monthly_update/run_template.ipynb - a "controller" notebook that manages the execution and report generation of template notebooks. Start here.
  • monthly_update/templates - contains template notebooks that generate reports about activity over a few months of time (by default, 3 months).
  • monthly_updates/data/ - GitHub activity data that is stored as a part of executing notebook data "fetch" operations. This data is then re-used by report notebooks.
  • monthly_updates/generated/ - Outputs from running papermill on the template notebooks, this is bundled up in a Jupyter Book for display purposes.

Other folders are out of date, and left-over from prototyping different kinds of reports. Feel free to look at them for inspiration but don't expect them to work!

Viewing the reports

The reports are best viewed on nbviewer. You'll see a few folders representing activity in different moments in time. Click on the folder and then on the report that you'd like to see.

A caveat: The data in these reports is just what could be (relatively) easily scraped from the GitHub and Discourse APIs. That means we are missing a lot of really important activity that is difficult to scrape automatically. Don't treat the numbers in these reports as the total truth - they are just one view on the complex web of activity that is the Jupyter community.

Note, if the information on a page looks outdated, try flushing the nbviewer cache with ?flush_cache=true in the URL.

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