[CHAOSS Hackathon 2025] Visualising Contributor Activity with CHAOSS Data (No Experience Needed!) #138
Description
Exploring Contributor Metrics Across Foundations
Project Description
Ever wondered how contributor activity compares across open source foundations like CNCF or ASF? This project makes it easy to find out — even if you're new to data science!
Using a beginner-friendly Google Colab notebook and real CHAOSS datasets, you'll explore contributor engagement patterns, visualize community behavior over time, and even compare trends between foundations.
No installation required. Just open the notebook, run the cells, and start discovering insights.
🎯 Ideal for: First-time contributors, data visualization lovers, CHAOSS newcomers, and anyone curious about open source community health. Want to play with exploratory data science and get some help? This is the spot for you!
No need to work with Github on this, you can provide a link of your own google collab notebook directly to this issue (how to below)!
🔗 Notebook Link[/+]
[+]👉 Launch the Contributor Metrics Notebook in Colab
🎯 Hackathon Goals
We’d love to see participants:
- Explore contributor activity in different open source foundations
- Add their own visualizations or filters (e.g., time periods, foundation type)
- Compare diversity, growth, or engagement across communities
- Modify and fork the notebook to tell new stories with the data
- Share findings and get them featured in this README!
🧩 How You Can Contribute
👉 The easiest way to contribute is to:
- Make a copy of the notebook in Colab or GitHub.
- Explore or customize it with your own metrics, charts, or filters.
- Submit a Pull Request that:
- Adds a link to your notebook in the project’s README.
- Includes a short 1–3 sentence description of what you discovered.
You can also:
- Suggest improvements to the notebook or README
- Ask questions or propose ideas in this Issue thread
📣 Contact
- Ejiro (GitHub: @EjiroOS)
- Sal Kimmich (GitHub: @Salkimmich)
📍 Join the conversation on CHAOSS Slack: #wg-data-science
Let’s discover how open source contributors grow, engage, and evolve — and get started with your data science contributions today. We are here to help!! Reach out to Ejiro or Sal for any assistance in your data exploration, and have a good time!!