
Developed a foundational connectivity plotting framework for the openbraininstitute/obi-one repository, focusing on scalable data visualization workflows in Python. The work introduced object-oriented classes to standardize connectivity plots, accompanied by an example Jupyter notebook to demonstrate usage. Refactoring improved default parameter handling and broadened input compatibility, while a directory-wide automation script enabled batch processing of connectivity matrices for faster exploratory analysis. The approach emphasized maintainable software design and scientific computing practices, with scaffolding added for future enhancements. All changes were tracked through organized commits, reflecting a methodical engineering process that prioritized extensibility, reliability, and clarity in scientific data visualization tasks.
March 2025 monthly summary for openbraininstitute/obi-one focused on delivering a foundational connectivity plotting framework and automation to scale plotting workflows. Key improvements include an end-to-end setup with foundational classes (BasicConnectivityPlots, BasicConnectivityPlot), an example notebook, refactors for default values, and a directory-wide plotting automation script to handle broader input cases.
March 2025 monthly summary for openbraininstitute/obi-one focused on delivering a foundational connectivity plotting framework and automation to scale plotting workflows. Key improvements include an end-to-end setup with foundational classes (BasicConnectivityPlots, BasicConnectivityPlot), an example notebook, refactors for default values, and a directory-wide plotting automation script to handle broader input cases.

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