
During a two-month period, Horis Iseleznev contributed to JetBrains/lets-plot by developing features that enhanced both user experience and analytical capabilities. He implemented frontend computation feedback for plot construction, enabling real-time user messaging across geometric contexts using Kotlin and JavaScript. Horis also expanded the plotting library with geom_stat_r2, supporting advanced statistical visualization and model evaluation. His work included improvements to smooth label rendering and flexible coefficient input, facilitating more robust data manipulation and visualization in Jupyter Notebooks. Additionally, he addressed a frontend embedding issue, ensuring visual integrity. The work demonstrated depth in frontend development and statistical analysis integration.

January 2026 monthly summary for JetBrains/lets-plot. Delivered significant plotting enhancements and reliability improvements that broaden API usability, improve data input, and enhance model evaluation visuals. Key outcomes include new smooth labels features, flexible coefficient input representations, enhanced regression statistics, and a fix to the smooth labels JS embedding to preserve visual integrity.
January 2026 monthly summary for JetBrains/lets-plot. Delivered significant plotting enhancements and reliability improvements that broaden API usability, improve data input, and enhance model evaluation visuals. Key outcomes include new smooth labels features, flexible coefficient input representations, enhanced regression statistics, and a fix to the smooth labels JS embedding to preserve visual integrity.
December 2025 monthly summary for JetBrains/lets-plot. Focused on delivering two high-impact features that enhance user experience and extend plotting capabilities, while maintaining stability and setting the stage for broader analytics tooling.
December 2025 monthly summary for JetBrains/lets-plot. Focused on delivering two high-impact features that enhance user experience and extend plotting capabilities, while maintaining stability and setting the stage for broader analytics tooling.
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