This release expands LightningChart Python’s interactive toolkit with richer UI controls, deeper cursor customization, and smarter data interrogation. You can now build more responsive dashboards using toggleable CheckBox and momentary ButtonBox actions, customize cursors end‑to‑end, and read back component state with new getter methods.

We also added workflow helpers like swap_axes for dynamic layouts and solve_nearest for programmatic picking. That helps you to make advanced interactions easier to build and maintain.

Cursor

LightningChart Python now supports full cursor customization. Cursor modes are now easier to understand and easier to control. You can enable/disable them, restyle them, or even replace the built-in cursor with manual cursors that you move programmatically.

We also added full styling APIs for all the cursor parts: point marker, crosshair grid lines, axis tick markers, and the result table. You can customize things like fonts, borders, gradients, auto-fit, plus margin/origin positioning.

Cursor now supports HTML-capable formatting callbacks, and you can also apply per-series overrides. This means your tooltip can show rich content like KPIs, status badges, or extra metadata that depends on the series or chart type.

Manual cursors are now first-class features. You can create multiple cursors, move them based on events, and use them for custom annotations that are independent from the hover cursor.

Pointable TextBox

Add interactive callout annotations with built-in directional pointers. PointableTextBox extends the standard TextBox with arrow/pointer functionality, perfect for highlighting specific data points, creating tooltips, or adding explanatory annotations that visually connect to chart elements.

CheckBox

Add persistent, toggleable UI switches directly on charts and dashboards. CheckBox keeps its on/off state after click, supports text, styling, background, and pointer events, and is ideal for options like “Show grid” or “Enable cursor.”

ButtonBox

Add momentary action buttons with automatic bounce‑back behavior. ButtonBox uses the same API and styling as CheckBox, but it resets to “off” after each press. That makes it perfect for one‑shot actions like “Reset view” or “Apply filter.”

There are three major improvements in this release: tick labels methods, heatmap flat array input, and better palette coloring methods. Here’s the summary: