DataLab-Kernel Version 0.2.10 (2026-02-10)
✨ New features since version 0.2.9
-
Multi-object plotting:
plotter.plot()now accepts lists of signals or images,
enabling side-by-side visualization of multiple objects in a single call -
Analysis result display: Geometry and table results now display as separate
HTML tables below the plot instead of cluttering the figure with on-plot text
annotations — especially important when working with multiple ROIs -
Consistent figure sizing: Introduced
DEFAULT_PLOT_WIDTHconstant for
uniform figure dimensions across Plotly and Matplotlib backends -
User-defined figure dimensions: Plotly plots now accept custom
widthand
heightkeyword arguments for fine-grained control over figure sizing -
Advanced plotting showcase notebook: Added a comprehensive notebook
demonstrating advanced features: multiple curve styles, colormaps, ROI-based
analysis, geometry/table results, and interactive Plotly visualization
🛠️ Bug Fixes since version 0.2.9
-
Fixed legend display in Plotly plots — legends are now hidden by default for
cleaner visualization -
Fixed default Plotly signal figure dimensions to match Matplotlib's aspect ratio
-
Fixed figure serialization performance in Plotly backend
-
Fixed image rendering edge cases in Matplotlib backend
🔧 Other changes since version 0.2.9
-
Updated documentation with structured "Try it Online" section linking to both
Quick Start and Advanced Showcase notebooks -
Improved portability of development scripts by using relative paths