chaoss / wg-data-science

CHAOSS Data Science Working Group: collaborate and improve open source project health using data science-based approaches
MIT License
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[Practitioner Guide]: Popularity #25

Open geekygirldawn opened 5 months ago

geekygirldawn commented 5 months ago

Practitioner Guide Topic (1 - 3 words)

Popularity

Primary Metrics (2 - 4 metrics)

Why is this topic important? How will this help people improve their open source project and / or community? Who will benefit from this guide?

Popularity metrics like clones, forks, and project popularity don't tell you much about the health of the project, but they can indicate that there is interest in using and contributing to the project, and projects with good adoption and an active community can be an indicator of viability, especially if these metrics are growing over time. This can help contributors decide whether they should contribute to a project and help organizations decide whether to use a project.

How would you like to see this guide developed?

I am interested in using this guide, but I do not want to write it myself

Additional Notes

Here is the doc where this guide will be developed: https://docs.google.com/document/d/1g35LAGa3Tp2ZqtNvJzCkmtPYJlPc4zFWieXeChlx3cY/edit

For an example of a nearly finished Insight Guide that you can use to better understand what should be in each section and how much detail to include, please see the Responsiveness guide.

geekygirldawn commented 3 months ago

Helpful link as a starting point: https://opensource.com/article/22/12/open-source-usage-metrics

Also, can use some stuff from the MSR paper that Sophia and Georg and publishing shortly.