
Mafalda Dalcin developed advanced graph analytics and 3D visualization features for the PyRigi/PyRigi repository, focusing on geometric and rigidity analysis. She implemented robust algorithms in Python, leveraging computational geometry and linear algebra to enable stress analysis, probabilistic rigidity methods, and dynamic 3D plotting with animation. Her work included API modernization, code refactoring for maintainability, and comprehensive documentation, ensuring clarity and reliability. Dalcin introduced adaptive rendering for cross-environment compatibility and expanded graph utilities for structural analysis. By integrating type hinting, PEP8 compliance, and extensive testing, she delivered a maintainable, well-documented codebase that supports both research and practical applications.

February 2025 (2025-02) monthly summary for PyRigi/PyRigi: Delivered API improvements, feature enhancements, and code quality updates that strengthen the reliability and maintainability of the graph algorithms suite. Core efforts focused on API modernization, test expansion, and documentation, with targeted feature work and thoughtful refactors across the module.
February 2025 (2025-02) monthly summary for PyRigi/PyRigi: Delivered API improvements, feature enhancements, and code quality updates that strengthen the reliability and maintainability of the graph algorithms suite. Core efforts focused on API modernization, test expansion, and documentation, with targeted feature work and thoughtful refactors across the module.
January 2025 monthly summary for PyRigi/PyRigi: Implemented end-to-end improvements across 3D visualization, graph analytics, and code quality. Delivered user-driven 3D rotation features, robust mathematical foundations for orthonormal vectors, expanded graph analysis capabilities, and several reliability and API clarity improvements, all contributing to stronger visualization, safer computations, and faster developer onboarding.
January 2025 monthly summary for PyRigi/PyRigi: Implemented end-to-end improvements across 3D visualization, graph analytics, and code quality. Delivered user-driven 3D rotation features, robust mathematical foundations for orthonormal vectors, expanded graph analysis capabilities, and several reliability and API clarity improvements, all contributing to stronger visualization, safer computations, and faster developer onboarding.
December 2024 monthly summary for PyRigi/PyRigi: Delivered core visualization and graph-analysis capabilities with cross-runtime reliability and data-driven styling. Implemented 3D plotting (plot3D) with orthonormal-vector helper and refactored animation/projection across environments; added tests for 3D plotting and updated 2D tests. Expanded graph utilities with subtraction to derive subgraphs and is_separating_pair analysis. Introduced configurable colors (vertex_color, edge_width) for dynamic visualization. Implemented adaptive animation rendering that selects IPython HTML in notebooks and matplotlib show() in terminals, ensuring correct rendering across runtimes.
December 2024 monthly summary for PyRigi/PyRigi: Delivered core visualization and graph-analysis capabilities with cross-runtime reliability and data-driven styling. Implemented 3D plotting (plot3D) with orthonormal-vector helper and refactored animation/projection across environments; added tests for 3D plotting and updated 2D tests. Expanded graph utilities with subtraction to derive subgraphs and is_separating_pair analysis. Introduced configurable colors (vertex_color, edge_width) for dynamic visualization. Implemented adaptive animation rendering that selects IPython HTML in notebooks and matplotlib show() in terminals, ensuring correct rendering across runtimes.
November 2024 monthly summary for PyRigi/PyRigi: Focused on delivering robust graph analytics features, correctness fixes, and performance improvements, with strong emphasis on business value for users building geometric and rigidity analyses. Highlights include graph operations enhancements, probabilistic rigidity methods, and improved plotting/visualization, alongside code quality improvements and expanded test coverage.
November 2024 monthly summary for PyRigi/PyRigi: Focused on delivering robust graph analytics features, correctness fixes, and performance improvements, with strong emphasis on business value for users building geometric and rigidity analyses. Highlights include graph operations enhancements, probabilistic rigidity methods, and improved plotting/visualization, alongside code quality improvements and expanded test coverage.
Monthly summary for 2024-10 focusing on PyRigi/PyRigi deliverables and business value. Implemented infinitesimal rigidity stress analysis in the Framework: introduced a new data type for equilibrium stresses, added computation of stresses within the Framework class, defined the stress matrix and its computation, and expanded documentation to cover the new API surface.
Monthly summary for 2024-10 focusing on PyRigi/PyRigi deliverables and business value. Implemented infinitesimal rigidity stress analysis in the Framework: introduced a new data type for equilibrium stresses, added computation of stresses within the Framework class, defined the stress matrix and its computation, and expanded documentation to cover the new API surface.
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