mermaid-js/mermaid
Apr 2026 – May 2026
2 Months active
Languages Used
TypeScriptJavaScript
Technical Skills
D3.jsTypeScriptdata visualizationfront end developmentCypressperformance optimization
Nabila Ben Ammar
PROFILE
Nabila Ben Ammar
Worked on the mermaid-js/mermaid repository to enhance Venn diagram rendering, focusing on complex unions and accurate labeling. Leveraged TypeScript and D3.js to implement automatic injection of pairwise subsets for unions involving three or more sets, ensuring correct layout and consistent label placement. Introduced a label property to the synthetic data structure and addressed edge cases for missing labels, improving diagram clarity. Optimized performance by pre-computing set sizes and exported core logic for reuse. Strengthened reliability through expanded regression and unit test coverage using Cypress, resulting in faster, more maintainable Venn diagrams and reduced risk of future regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
220
Activity Months2
Your Network
118 peopleWork History
May 2026
4 Commits • 1 Features
May 1, 2026Summary for 2026-05: Delivered significant Venn diagram rendering improvements in mermaid, including a Pairwise Subsets Engine with export and extended test coverage. Implemented a performance optimization by pre-computing individual set sizes in ensurePairwiseSubsets, exported the helper for reuse, and added regression tests for 3-circle unions along with expanded coverage for synthetic pairwise subsets. Fixed unit test expectations and updated the changeset to communicate user-facing fixes. Result: faster, more reliable Venn diagrams with better test resilience and easier maintenance.
4 Commits • 1 Features
May 1, 2026Summary for 2026-05: Delivered significant Venn diagram rendering improvements in mermaid, including a Pairwise Subsets Engine with export and extended test coverage. Implemented a performance optimization by pre-computing individual set sizes in ensurePairwiseSubsets, exported the helper for reuse, and added regression tests for 3-circle unions along with expanded coverage for synthetic pairwise subsets. Fixed unit test expectations and updated the changeset to communicate user-facing fixes. Result: faster, more reliable Venn diagrams with better test resilience and easier maintenance.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mermaid-js/mermaid: Focused on enhancing Venn diagram rendering for complex unions and improving labeling accuracy. Delivered automated subset handling for 3+ set unions, added explicit labeling support, and fixed a missing label edge case, contributing to more accurate diagrams and a smoother user experience.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mermaid-js/mermaid: Focused on enhancing Venn diagram rendering for complex unions and improving labeling accuracy. Delivered automated subset handling for 3+ set unions, added explicit labeling support, and fixed a missing label edge case, contributing to more accurate diagrams and a smoother user experience.
Activity
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Quality Metrics
Correctness96.6%
Maintainability83.4%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
CypressD3.jsTypeScriptdata visualizationfront end developmentperformance optimizationtestingunit testing
Repositories Contributed To
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