music-computing/amads
Dec 2024 – Feb 2026
7 Months active
Languages Used
PythonrstTextBashRSTCSSMarkdownYAML
Technical Skills
API DesignData AnalysisData VisualizationMIDI AnalysisMusic Information RetrievalObject-Oriented Programming
Roger B. Dannenberg
PROFILE
Roger B. Dannenberg
Rohan Dannenberg developed core music analysis and processing features for the music-computing/amads repository, focusing on robust MIDI and MusicXML ingestion, score comparison, and advanced data visualization. He refactored core music representations and standardized plotting APIs, improving code consistency and maintainability. Using Python and integrating libraries such as music21 and prettymidi, Rohan enhanced cross-format I/O, implemented distribution-based analysis for MIDI durations, and expanded tonal analysis with R scripting utilities. His work included strengthening CI/CD pipelines, refining documentation, and improving test reliability across Python versions, resulting in a more reliable, extensible platform for music information retrieval and computational musicology research.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
39Total
Bugs
3
Commits
39
Features
13
Lines of code
55,606
Activity Months7
Your Network
13 peopleWork History
February 2026
7 Commits • 3 Features
Feb 1, 2026February 2026: Delivered key features and reliability improvements for the AMADS project. Implemented display and I/O enhancements for musical scores with cross-format support (PDF and MuseScore), and performed substantial cleanup of the read_score/write_score utilities. Strengthened CI and testing reliability by conditioning test runs on available dependencies (R, LilyPond), suppressing GUI apps during tests, and updating configuration to skip tests when dependencies are missing, resulting in more stable CI across environments. Expanded tonal analysis capabilities and R scripting utilities, including improved pitch-class distribution handling, integration of self-organizing maps for tonal analysis, and new R script helpers with better module organization. Outcome: clearer, more usable score I/O, faster-safe CI cycles, and enhanced analysis capabilities enabling more robust music analytics.
7 Commits • 3 Features
Feb 1, 2026February 2026: Delivered key features and reliability improvements for the AMADS project. Implemented display and I/O enhancements for musical scores with cross-format support (PDF and MuseScore), and performed substantial cleanup of the read_score/write_score utilities. Strengthened CI and testing reliability by conditioning test runs on available dependencies (R, LilyPond), suppressing GUI apps during tests, and updating configuration to skip tests when dependencies are missing, resulting in more stable CI across environments. Expanded tonal analysis capabilities and R scripting utilities, including improved pitch-class distribution handling, integration of self-organizing maps for tonal analysis, and new R script helpers with better module organization. Outcome: clearer, more usable score I/O, faster-safe CI cycles, and enhanced analysis capabilities enabling more robust music analytics.
February 2026
January 2026
20 Commits • 2 Features
Jan 1, 2026January 2026 performance summary for music-computing/amads: Delivered a new Musical score comparison module with enhanced IO for MIDI/XML import/export, boosting interoperability and data handling. Established default readers/writers (pretty_midi for MIDI, music21 for XML) and hardened IO with broader test coverage and configurable IO warnings, increasing reliability of data pipelines. Also stabilized cross-version compatibility and test reliability across Python versions. Addressed Python 3.10-related test issues by converting numpy floats to Python floats, fixed a merge-induced demo break (amads.utils/core.utils integration) that affected 334 tests, and implemented robust key number validation to avoid floating-point edge-case issues. Enhanced documentation, CI/CD workflows, and code quality checks. Added typing_extensions, improved mkdocs build stability, and updated test infrastructure to run with temporary test files. These changes improve maintainability, accelerate onboarding for contributors, and reduce risk for users relying on accurate score IO and cross-version demos.
January 2026
20 Commits • 2 Features
Jan 1, 2026January 2026 performance summary for music-computing/amads: Delivered a new Musical score comparison module with enhanced IO for MIDI/XML import/export, boosting interoperability and data handling. Established default readers/writers (pretty_midi for MIDI, music21 for XML) and hardened IO with broader test coverage and configurable IO warnings, increasing reliability of data pipelines. Also stabilized cross-version compatibility and test reliability across Python versions. Addressed Python 3.10-related test issues by converting numpy floats to Python floats, fixed a merge-induced demo break (amads.utils/core.utils integration) that affected 334 tests, and implemented robust key number validation to avoid floating-point edge-case issues. Enhanced documentation, CI/CD workflows, and code quality checks. Added typing_extensions, improved mkdocs build stability, and updated test infrastructure to run with temporary test files. These changes improve maintainability, accelerate onboarding for contributors, and reduce risk for users relying on accurate score IO and cross-version demos.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 focused on strengthening MIDI ingestion and parsing robustness in the music-computing/amads repo, delivering substantial improvements in performance, reliability, and cross-compatibility for downstream workflows.
1 Commits • 1 Features
May 1, 2025May 2025 focused on strengthening MIDI ingestion and parsing robustness in the music-computing/amads repo, delivering substantial improvements in performance, reliability, and cross-compatibility for downstream workflows.
May 2025
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025: Implemented a major overhaul of AMADS core music representation, standardized plotting interfaces, modernized the Pitch API, and added robust initialization defaults. These changes improve correctness, consistency, and developer experience, enabling faster feature delivery and fewer runtime errors in downstream users.
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025: Implemented a major overhaul of AMADS core music representation, standardized plotting interfaces, modernized the Pitch API, and added robust initialization defaults. These changes improve correctness, consistency, and developer experience, enabling faster feature delivery and fewer runtime errors in downstream users.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for music-computing/amads: Key feature delivered: Documentation Workflow Enhancements for Contributors. Updated guidelines cover installation via pip, pre-commit workflow, upstream integration, and added live-reload during docs development through sphinx-autobuild. No major bugs fixed this month. Overall impact: streamlined contributor onboarding and faster documentation iteration, improving collaboration and project sustainability. Technologies/skills demonstrated: Sphinx documentation, sphinx-autobuild live-reload, pip packaging, pre-commit integration, upstream workflows, Git hygiene.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for music-computing/amads: Key feature delivered: Documentation Workflow Enhancements for Contributors. Updated guidelines cover installation via pip, pre-commit workflow, upstream integration, and added live-reload during docs development through sphinx-autobuild. No major bugs fixed this month. Overall impact: streamlined contributor onboarding and faster documentation iteration, improving collaboration and project sustainability. Technologies/skills demonstrated: Sphinx documentation, sphinx-autobuild live-reload, pip packaging, pre-commit integration, upstream workflows, Git hygiene.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025In 2025-01, delivered a centralized algorithm implementations tracking reference for the music-computing/amads project, enabling transparent progress tracking and assignment visibility via a dedicated Google Sheet. This governance/utility feature improves planning accuracy, onboarding speed, and cross-team coordination. The month focused on process improvements and documentation rather than feature-heavy changes, establishing foundational artifacts for future automation and reporting.
January 2025
1 Commits • 1 Features
Jan 1, 2025In 2025-01, delivered a centralized algorithm implementations tracking reference for the music-computing/amads project, enabling transparent progress tracking and assignment visibility via a dedicated Google Sheet. This governance/utility feature improves planning accuracy, onboarding speed, and cross-team coordination. The month focused on process improvements and documentation rather than feature-heavy changes, establishing foundational artifacts for future automation and reporting.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for music-computing/amads. Focused on delivering distribution modeling capabilities and 2D analysis for MIDI note durations, with reusable plotting-ready APIs and improved plotting workflow. Implemented a unified Distribution API to support both 1D and 2D visualizations and updated example scripts to demonstrate the end-to-end flow. Also started refining core dependencies to optimize load time for plotting.
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for music-computing/amads. Focused on delivering distribution modeling capabilities and 2D analysis for MIDI note durations, with reusable plotting-ready APIs and improved plotting workflow. Implemented a unified Distribution API to support both 1D and 2D visualizations and updated example scripts to demonstrate the end-to-end flow. Also started refining core dependencies to optimize load time for plotting.
December 2024
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Quality Metrics
Correctness87.4%
Maintainability85.8%
Architecture83.4%
Performance83.4%
AI Usage25.2%
Skills & Technologies
Programming Languages
BashCSSMarkdownPythonRSTTextYAMLrst
Technical Skills
API DesignAlgorithm DesignBug FixingCI/CDCode ConsistencyCode DocumentationCode QualityCode RefactoringContinuous IntegrationContinuous integrationData AnalysisData StructuresData VisualizationDependency ManagementDependency management
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