Hi Matplotlib mentors,
I am submitting my GSoC 2026 proposal and would greatly appreciate feedback or suggestions. Thank you for your time!
Abstract
Biomedical datasets, such as respiratory and cough signals, are often complex and difficult to interpret. This project aims to create beginner-friendly examples, modules, and tutorials in Matplotlib to visualize these biomedical signals effectively. The goal is to make plotting physiological data accessible to students, researchers, and developers, improving reproducibility and clarity in scientific visualization.
Benefits to the Community
Expands Matplotlib examples to include real biomedical signals
Provides reusable code and tutorials for time-series and physiological signal plotting
Supports the open-source community by offering educational and practical visualization tools
Deliverables
1.Example scripts and modules for plotting biomedical signals (respiratory, cough, or similar datasets)
2. Notebooks demonstrating best practices for biomedical signal visualization
3. Clear documentation and tutorials for using the examples
Technical Details / Approach
- Use Matplotlib for plotting time-series biomedical data.
- Start with basic plots (line graphs, histograms) and progressively add:
Annotated regions of interest
Multi-channel signal visualization
Simple interactive features (sliders, zoom) if feasible
- Create reproducible examples that are easy to understand for beginners
- Keep the code modular and well-documented
Timeline
Weeks 1–2: Review Matplotlib basics and explore existing plotting functions
Weeks 3–6: Develop example scripts and notebooks for biomedical signals
Weeks 7–9: Add annotations, improve usability, and finalize plots
Weeks 10–12: Prepare documentation, tutorials, and final submission; share examples on GitHub
Skills Required / Prerequisites
Basic Python programming and Matplotlib usage
Familiarity with plotting concepts and biomedical signal data
Will expand skills during the project to implement proposed work effectively
About Me
I am a biomedical engineering student with experience in a smart stethoscope project for cough classification. I have basic Python and Matplotlib knowledge and a foundational understanding of biomedical signals. I am highly motivated to expand these skills while contributing to open-source visualization tools.