supercollider/supercollider
Nov 2025 – Nov 2025
1 Month active
Languages Used
C++SuperCollider
Technical Skills
C++ programmingalgorithm designmusical application developmentunit testing
dantepfer
PROFILE
Dantepfer
During November 2025, Dan Tepfer developed a fast Hungarian Algorithm solver for the supercollider/supercollider repository, targeting large-scale linear assignment problems in music applications such as voice-leading. He implemented the core optimization in C++, achieving a dramatic reduction in computation time for large matrices and enabling real-time or near-real-time processing within the SCLang environment. Dan complemented the algorithm with comprehensive unit tests and example-driven documentation, demonstrating practical use cases in musical contexts. His work reflected strong algorithm design and collaboration skills, resulting in a robust, well-documented feature that enhances the analytical and compositional capabilities of SuperCollider’s music software ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
296
Activity Months1
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for supercollider/supercollider: Delivered a fast Hungarian Algorithm solver for large-scale linear assignment integrated in SCLang, with a focus on music applications such as voice-leading. The core optimization is implemented in C++, delivering a dramatic performance uplift, complemented by thorough testing and documentation to ensure reliability and ease of use. This work enables real-time or near-real-time handling of large assignment problems in music software and paves the way for more advanced analytics and composition tasks.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for supercollider/supercollider: Delivered a fast Hungarian Algorithm solver for large-scale linear assignment integrated in SCLang, with a focus on music applications such as voice-leading. The core optimization is implemented in C++, delivering a dramatic performance uplift, complemented by thorough testing and documentation to ensure reliability and ease of use. This work enables real-time or near-real-time handling of large assignment problems in music software and paves the way for more advanced analytics and composition tasks.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++SuperCollider
Technical Skills
C++ programmingalgorithm designmusical application developmentunit testing
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