igraph/rigraph
Jan 2025 – Sep 2025
7 Months active
Languages Used
RC++CSVGYAML
Technical Skills
Graph ManipulationGraph TheoryR ProgrammingR programmingSoftware DevelopmentSoftware Refactoring
David Schoch
PROFILE
David Schoch
David Schoch contributed to the igraph/rigraph repository by developing and refining core graph analysis and visualization features using R, C, and C++. Over seven months, he enhanced graph construction, plotting, and attribute management, focusing on robust data handling and performance optimization. His work included improving adjacency and incidence computations, expanding test coverage, and introducing batch attribute setters to streamline workflows. David addressed edge cases in graph loading, plotting, and attribute preservation, ensuring data integrity and usability. Through targeted refactoring, code formatting, and comprehensive testing, he strengthened maintainability and reliability, enabling safer releases and more expressive analytical capabilities for downstream users.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
59Total
Bugs
9
Commits
59
Features
16
Lines of code
54,988
Activity Months7
Your Network
11 people
Work History
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for igraph/rigraph: Strengthened testing, improved coverage focus, and reinforced reliability across graph generation and visualization components. Delivered concrete test suites and code-coverage hygiene to support safer refactors and faster, higher-quality releases.
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for igraph/rigraph: Strengthened testing, improved coverage focus, and reinforced reliability across graph generation and visualization components. Delivered concrete test suites and code-coverage hygiene to support safer refactors and faster, higher-quality releases.
September 2025
July 2025
15 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for igraph/rigraph: Delivered targeted stability, API ergonomics, and visualization enhancements that improve data integrity, developer productivity, and analytical presentation capabilities. Key outcomes include robust vertex attribute data type preservation during disjoint_union, scoped NA checks for edge data frames, and refined edge attribute updates; a new batch vertex attribute setter enabling multi-attribute updates with error handling; a comprehensive set of graph visualization improvements (vectorized arrows, per-arrow sizing, adjustable label rotation, improved loop handling, and expanded tkplot layouts); the addition of a weights parameter to local_scan with accompanying tests; and proactive plot layout validation to catch mismatches early. These changes reduce data integrity risks, enable more expressive analyses and visuals, and streamline common workflows. Documentation updates for graph I/O formats and cohesion() arguments accompany the release to improve onboarding and usage clarity.
July 2025
15 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for igraph/rigraph: Delivered targeted stability, API ergonomics, and visualization enhancements that improve data integrity, developer productivity, and analytical presentation capabilities. Key outcomes include robust vertex attribute data type preservation during disjoint_union, scoped NA checks for edge data frames, and refined edge attribute updates; a new batch vertex attribute setter enabling multi-attribute updates with error handling; a comprehensive set of graph visualization improvements (vectorized arrows, per-arrow sizing, adjustable label rotation, improved loop handling, and expanded tkplot layouts); the addition of a weights parameter to local_scan with accompanying tests; and proactive plot layout validation to catch mismatches early. These changes reduce data integrity risks, enable more expressive analyses and visuals, and streamline common workflows. Documentation updates for graph I/O formats and cohesion() arguments accompany the release to improve onboarding and usage clarity.
June 2025
6 Commits • 2 Features
Jun 1, 2025June 2025 — igraph/rigraph: Stability, usability, and code quality improvements across constructors, plotting, and developer tooling. Delivered robust input validation, improved plotting customization, and strengthened maintainability. These changes reduce user-facing errors, enable richer visualizations, and streamline future development.
6 Commits • 2 Features
Jun 1, 2025June 2025 — igraph/rigraph: Stability, usability, and code quality improvements across constructors, plotting, and developer tooling. Delivered robust input validation, improved plotting customization, and strengthened maintainability. These changes reduce user-facing errors, enable richer visualizations, and streamline future development.
June 2025
April 2025
6 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for igraph/rigraph focusing on performance, robustness, and code quality. Delivered key features for graph plotting visuals, strengthened data typing and edge attribute handling, and expanded test coverage for weighted graphs. Improved stability in edge cases (NA labels, self-loops) and reduced risk of runtime errors through stricter input validation and cleanup.
April 2025
6 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for igraph/rigraph focusing on performance, robustness, and code quality. Delivered key features for graph plotting visuals, strengthened data typing and edge attribute handling, and expanded test coverage for weighted graphs. Improved stability in edge cases (NA labels, self-loops) and reduced risk of runtime errors through stricter input validation and cleanup.
March 2025
3 Commits
Mar 1, 2025March 2025 monthly summary for igraph/rigraph: Focused on strengthening indexing reliability, stabilizing the test suite, and updating the external graph data source to ensure ongoing compatibility and broad test coverage. These efforts reduce runtime errors, shorten debugging cycles, and improve confidence in graph-loading workflows across downstream consumers.
3 Commits
Mar 1, 2025March 2025 monthly summary for igraph/rigraph: Focused on strengthening indexing reliability, stabilizing the test suite, and updating the external graph data source to ensure ongoing compatibility and broad test coverage. These efforts reduce runtime errors, shorten debugging cycles, and improve confidence in graph-loading workflows across downstream consumers.
March 2025
February 2025
22 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for igraph/rigraph: Delivered key core improvements, expanded test coverage, and enhanced data-attribute handling, resulting in faster graph queries, more robust tests, and improved visualization reliability. These efforts reduce maintenance overhead, shorten feedback cycles for feature work, and strengthen overall product quality for downstream users and teams relying on igraph/rigraph. Key achievements: - Graph core refactor and performance: Faster single bracket querying and readability/performance improvements of graph.adjacency.sparse; consolidated graph.incidence.* for maintainability. Commit activity includes: 723e7d1334c6f9424d03470c9e94795b2ef25a92, 178bb743a020c5532e077eab2d23f2706fd91f33, 5bd38b276159af2bc6c0822145d8bb75cd276186. - Test suite refactoring and consolidation: Merged and refactored tests across games.R, flow.R, indexing.R, community.R, make.R, conversion.R, components.R to improve consistency and coverage. Commits include: 41742a71e568e9cb0889f27154a2e086f4da5bb5, 0df2bfd978dd3acbe56fec862e924ab01fbc27cd, 9cc510351e128b9b1d27defd98f68fc72748b35c, f5016e4cc292671f46c6de9c97383e08a01d2fc7, 70163da4671e2af958ff1c6cbeba06cd3520df2d, 9556c8495b89b4ef2b067b2f523592c21f34a45a, 27fc7592be2e619f54bb9277ea4d25c8d539ae9c. - Add attributes via data.frames: Added proper support for adding attributes via data.frames. Commit: d886780bc36ad414aee4d40fe0da232d3b08dbd8. - Plotting and visualization fixes: Resolved NA attribute defaults, edge label mapping with loops, duplicated arrowhead, and arrow mode syntax to improve plotting reliability. Commits: 5298f88bab7cbea4f3ec66db5be172bd1689bcb9, 3764c00c4a30d3194af14e21d105505715679baf, 1176a04fce03d9fff91a66e39d6f2fd2aeaf193b, 6663aec1b89fa935a70cd69f04e221d1051c02f6. - Test suite refactor and consolidation across embedding.R, topology.R, iterators.R, operators.R, and related files: improved consistency and coverage. Commits: d61a908d9b7ebe0786f7af506d64652c39492d58, 39fb16dd004a50bb89108f99c0f413d8cd26b18b, 8064dea7efccf711723df359f14dd9a96e5833de, 55977442d9eb0e264427a50d28cf15e4bf9e2bee, b18d1f9442fd2ee81caab3aeeeaa9d6552b665c3, 3b041604d0db65a3e5d1b3e95973207a7f3b69a1, 0bac719e44c18024080163f52fbce373ebd2c26b. Major bugs fixed: - Plotting fixes: NA attribute defaults resolved, edge label property mapping corrected for loops, duplicated arrowhead drawing addressed, and arrow mode syntax corrected for plotting. Commits: 5298f88bab7cbea4f3ec66db5be172bd1689bcb9, 3764c00c4a30d3194af14e21d105505715679baf, 1176a04fce03d9fff91a66e39d6f2fd2aeaf193b, 6663aec1b89fa935a70cd69f04e221d1051c02f6. Overall impact and accomplishments: - Performance: Core refactor yields faster graph querying and more maintainable code paths, enabling faster feature cycles and improved user experience. - Quality and reliability: Consolidated test suites and improved test coverage across major components reduce regression risk and speed up validation. - Usability and data integrity: Added data.frame-based attribute management and more robust plotting defaults, enhancing end-user workflows and data integrity. - Maintainability and collaboration: Clearer, cohesive codebase with consolidated modules and tests improves onboarding and long-term maintainability. Technologies and skills demonstrated: - Performance optimization and refactoring (graph core, adjacency/incidence structures) - Large-scale test suite consolidation and maintenance - Data handling improvements with data.frames integration - Visualization robustness and plotting pipeline fixes - Version control discipline and traceability through granular commits
February 2025
22 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for igraph/rigraph: Delivered key core improvements, expanded test coverage, and enhanced data-attribute handling, resulting in faster graph queries, more robust tests, and improved visualization reliability. These efforts reduce maintenance overhead, shorten feedback cycles for feature work, and strengthen overall product quality for downstream users and teams relying on igraph/rigraph. Key achievements: - Graph core refactor and performance: Faster single bracket querying and readability/performance improvements of graph.adjacency.sparse; consolidated graph.incidence.* for maintainability. Commit activity includes: 723e7d1334c6f9424d03470c9e94795b2ef25a92, 178bb743a020c5532e077eab2d23f2706fd91f33, 5bd38b276159af2bc6c0822145d8bb75cd276186. - Test suite refactoring and consolidation: Merged and refactored tests across games.R, flow.R, indexing.R, community.R, make.R, conversion.R, components.R to improve consistency and coverage. Commits include: 41742a71e568e9cb0889f27154a2e086f4da5bb5, 0df2bfd978dd3acbe56fec862e924ab01fbc27cd, 9cc510351e128b9b1d27defd98f68fc72748b35c, f5016e4cc292671f46c6de9c97383e08a01d2fc7, 70163da4671e2af958ff1c6cbeba06cd3520df2d, 9556c8495b89b4ef2b067b2f523592c21f34a45a, 27fc7592be2e619f54bb9277ea4d25c8d539ae9c. - Add attributes via data.frames: Added proper support for adding attributes via data.frames. Commit: d886780bc36ad414aee4d40fe0da232d3b08dbd8. - Plotting and visualization fixes: Resolved NA attribute defaults, edge label mapping with loops, duplicated arrowhead, and arrow mode syntax to improve plotting reliability. Commits: 5298f88bab7cbea4f3ec66db5be172bd1689bcb9, 3764c00c4a30d3194af14e21d105505715679baf, 1176a04fce03d9fff91a66e39d6f2fd2aeaf193b, 6663aec1b89fa935a70cd69f04e221d1051c02f6. - Test suite refactor and consolidation across embedding.R, topology.R, iterators.R, operators.R, and related files: improved consistency and coverage. Commits: d61a908d9b7ebe0786f7af506d64652c39492d58, 39fb16dd004a50bb89108f99c0f413d8cd26b18b, 8064dea7efccf711723df359f14dd9a96e5833de, 55977442d9eb0e264427a50d28cf15e4bf9e2bee, b18d1f9442fd2ee81caab3aeeeaa9d6552b665c3, 3b041604d0db65a3e5d1b3e95973207a7f3b69a1, 0bac719e44c18024080163f52fbce373ebd2c26b. Major bugs fixed: - Plotting fixes: NA attribute defaults resolved, edge label property mapping corrected for loops, duplicated arrowhead drawing addressed, and arrow mode syntax corrected for plotting. Commits: 5298f88bab7cbea4f3ec66db5be172bd1689bcb9, 3764c00c4a30d3194af14e21d105505715679baf, 1176a04fce03d9fff91a66e39d6f2fd2aeaf193b, 6663aec1b89fa935a70cd69f04e221d1051c02f6. Overall impact and accomplishments: - Performance: Core refactor yields faster graph querying and more maintainable code paths, enabling faster feature cycles and improved user experience. - Quality and reliability: Consolidated test suites and improved test coverage across major components reduce regression risk and speed up validation. - Usability and data integrity: Added data.frame-based attribute management and more robust plotting defaults, enhancing end-user workflows and data integrity. - Maintainability and collaboration: Clearer, cohesive codebase with consolidated modules and tests improves onboarding and long-term maintainability. Technologies and skills demonstrated: - Performance optimization and refactoring (graph core, adjacency/incidence structures) - Large-scale test suite consolidation and maintenance - Data handling improvements with data.frames integration - Visualization robustness and plotting pipeline fixes - Version control discipline and traceability through granular commits
January 2025
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on business value and technical achievements across the igraph/rigraph repository. Highlights key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Aligns with performance reviews and demonstrates tangible value to product reliability and developer efficiency.
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on business value and technical achievements across the igraph/rigraph repository. Highlights key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Aligns with performance reviews and demonstrates tangible value to product reliability and developer efficiency.
January 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability91.2%
Architecture85.8%
Performance83.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++RSVGYAML
Technical Skills
API DesignAPI DevelopmentAPI IntegrationBug FixingBuild ToolsC ProgrammingCI/CDCode CoverageCode FormattingCode RefactoringData ManipulationData StructuresData VisualizationData manipulationDebugging
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