April 2026 monthly summary for JetBrains/lets-plot focusing on delivering high-value features, stabilizing visuals, and enabling cross-platform reuse. Major work spanned WasmJS rendering enhancements, tooltip subsystem improvements, Kotlin Multiplatform migration, and visual stability efforts across baselines and assets. The month delivered tangible business value through more robust visual tests, cross-platform code sharing, and improved end-user interactions.

March 2026 performance summary for JetBrains/lets-plot and JetBrains/lets-plot-kotlin. The team delivered a set of feature-rich improvements focused on performance, reliability, and maintainability, spanning both repositories. Key outcomes include WebAssembly support with a wasmjs demo to showcase significant web-plot performance gains; a LazyModule design to lazy-load optional libraries, dramatically reducing initial import time; a robust enhancement of the _standardize_value utility to correctly handle NaN/Inf, non-numeric values, and new types like timestamp and timedelta, with attention to performance; HTTP transport improvements including compatibility with Kotlin/Ktor 3.x and updated transport code; and a refactor of image processing in lets-plot Kotlin to remove the PNGJ dependency in favor of a streamlined encoder/decoder. In addition, livemap HTTP error handling was strengthened to provide better timeout management and user feedback. Documentation and licensing compliance were updated, and test infrastructure was hardened with pytest-timeout to improve reliability of test runs.

February 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.

January 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.