JetBrains/lets-plot
Jan 2026 – Feb 2026
2 Months active
Languages Used
KotlinPythonCJSONproperties
Technical Skills
Build system configurationData VisualizationFont ManagementJavaScriptKotlinPython
Ivan Kupriyanov
PROFILE
Ivan Kupriyanov
Over two months, Horis Kupriyanov enhanced the JetBrains/lets-plot repository by delivering live data visualization features, improving export tooling, and strengthening cross-platform stability. He implemented dynamic livemap rendering with interactive canvas support, introduced caption options for accessible plotting, and unified tooltip logic for multi-variable support. Using Kotlin, Python, and C, Horis refactored UI components for clarity, overhauled font management with a new FontVariant enum, and addressed memory leaks in event handling. His work included Python integration for debugging tools and build configuration updates for Windows compatibility, resulting in more reliable visualizations, maintainable code, and robust development workflows across platforms.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
26Total
Bugs
3
Commits
26
Features
8
Lines of code
17,152
Activity Months2
Work History
February 2026
13 Commits • 5 Features
Feb 1, 2026February 2026 performance summary for JetBrains/lets-plot: delivered core feature upgrades, reliability fixes, and tooling improvements that enhance export capabilities, UI consistency, and developer productivity. Key deliveries include livemap export tooling with PNG/JPG tile export, race-condition fix, and a Jupyter notebook; a font management overhaul introducing FontVariant enum; plotting tooltip enhancements with multi-variable support and unified logic; Python integration in PlotSpecDebugger; and a UI refactor to Drawable/CanvasComponent. A Windows build stability fix (libbacktrace) reduced CI failures. These efforts improve data export reliability, visualization UX, cross-platform stability, and maintainability, delivering tangible business value and scalable development impact.
13 Commits • 5 Features
Feb 1, 2026February 2026 performance summary for JetBrains/lets-plot: delivered core feature upgrades, reliability fixes, and tooling improvements that enhance export capabilities, UI consistency, and developer productivity. Key deliveries include livemap export tooling with PNG/JPG tile export, race-condition fix, and a Jupyter notebook; a font management overhaul introducing FontVariant enum; plotting tooltip enhancements with multi-variable support and unified logic; Python integration in PlotSpecDebugger; and a UI refactor to Drawable/CanvasComponent. A Windows build stability fix (libbacktrace) reduced CI failures. These efforts improve data export reliability, visualization UX, cross-platform stability, and maintainability, delivering tangible business value and scalable development impact.
February 2026
January 2026
13 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for JetBrains/lets-plot focused on delivering live data visualization enhancements, plotting accessibility features, and cross-platform stability. Key outcomes include a livemap export with dynamic rendering and interactive canvases, caption support in plots, and robust mouse/canvas event handling, alongside platform compatibility updates and improved visual test reliability. These efforts collectively boost business value by enabling real-time data storytelling, accessible charts, and stable CI/build processes across Windows and Kotlin 2.0-era tooling.
January 2026
13 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for JetBrains/lets-plot focused on delivering live data visualization enhancements, plotting accessibility features, and cross-platform stability. Key outcomes include a livemap export with dynamic rendering and interactive canvases, caption support in plots, and robust mouse/canvas event handling, alongside platform compatibility updates and improved visual test reliability. These efforts collectively boost business value by enabling real-time data storytelling, accessible charts, and stable CI/build processes across Windows and Kotlin 2.0-era tooling.
Activity
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Quality Metrics
Correctness93.2%
Maintainability87.8%
Architecture89.2%
Performance88.4%
AI Usage26.2%
Skills & Technologies
Programming Languages
CJSONKotlinPythonproperties
Technical Skills
Build system configurationC programmingData VisualizationFont ManagementInterface DesignJavaScriptJupyter NotebooksKotlinKotlin developmentPythonPython developmentPython packagingPython scriptingRefactoringSoftware Architecture
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