openbraininstitute/obi-one
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
Data VisualizationJupyter NotebooksMatplotlibObject-Oriented ProgrammingPythonPython Scripting
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PROFILE
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Daniela Egas developed a foundational connectivity plotting framework for the openbraininstitute/obi-one repository, focusing on scalable and automated data visualization workflows. She designed and implemented core object-oriented Python classes to handle connectivity matrix plotting, refactored default parameters for clarity, and created an example Jupyter notebook to demonstrate usage. By introducing a directory-wide automation script, Daniela enabled batch processing of multiple datasets, streamlining exploratory analysis and reducing manual scripting. Her work generalized plotting functions to support diverse input scenarios, laying groundwork for future enhancements. The project leveraged Python, Matplotlib, and scientific computing principles, reflecting a thoughtful and extensible software engineering approach.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
1,169
Activity Months1
Your Network
8 people
Work History
March 2025
4 Commits • 1 Features
Mar 1, 2025March 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.
4 Commits • 1 Features
Mar 1, 2025March 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
Activity
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Quality Metrics
Correctness75.0%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data VisualizationJupyter NotebooksMatplotlibObject-Oriented ProgrammingPythonPython ScriptingRefactoringScientific ComputingSoftware DesignSoftware Engineering
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