v0.2.10

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_WIDTH constant for
  uniform figure dimensions across Plotly and Matplotlib backends

• User-defined figure dimensions: Plotly plots now accept custom width and
  height keyword 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

v0.2.9

DataLab-Kernel v0.2.9 Release Notes

New Features

Plotly visualization backend

• Added a new Plotly interactive visualization backend as an alternative to the existing Matplotlib static backend. Plotly figures provide rich interactivity (zoom, pan, hover tooltips) directly in Jupyter notebooks.
• Install with pip install datalab-kernel[plotly].

Smart backend selection

• When both Plotly and Matplotlib are available, Plotly is automatically preferred for its richer interactive experience.
• Switch backends at runtime with plotter.set_backend("matplotlib") or plotter.set_backend("plotly").
• Override the default backend via the DATALAB_PLOTTER_BACKEND environment variable.

Enhanced Matplotlib backend

• Extracted the Matplotlib rendering logic into a dedicated matplotlib_backend module with improved support for:
  • Error bars
  • Curve styles (Sticks, Steps)
  • Per-object line styling from metadata
  • Log scale and axis bounds
  • Non-uniform image coordinates (pcolormesh)
  • Per-object colormaps

Figure height customization

• Enhanced figure height customization for both backends, with updated documentation.

MIME bundle support for Plotly

• Plotly figures now produce proper MIME bundles for native Jupyter display integration.

Improvements

Documentation

• Removed references to the legacy XML-RPC connection method; documentation now emphasizes the Web API as the primary (and recommended) connection method.
• Updated README with visualization backend documentation, usage examples, and runtime switching instructions.
• Updated online demo badge link.

Python version support

• Added Python 3.13 and 3.14 to the supported version classifiers.

Optional dependency

• Added plotly optional dependency group in pyproject.toml (pip install datalab-kernel[plotly]).

Dev tooling

• Enhanced wheel building script (serve_dev_wheels.py) to support package selection via --packages argument.
• New VS Code tasks for interactive plot tests, dev wheel serving, and backend-specific testing.

Bug Fixes

• Fixed test compatibility with Python 3.9 by using ExitStack instead of multiple mock.patch context managers.
• Fixed test module shadowing issue by using mock.patch.object instead of mock.patch with string targets.
• Fixed various Ruff and Pylint warnings across the codebase.
• Fixed test workflow branch references for DataLab installation.

Test Suite

• Added 65 tests for the Matplotlib backend covering all rendering features, backward-compatibility aliases, and edge cases.
• Added 40 tests for the Plotly backend covering all rendering features and edge cases.
• Added backend selection and resolution logic tests.
• Added --gui interactive gallery viewers for visual test validation (tkinter for Matplotlib, tabbed HTML for Plotly).

v0.2.8

Remove outdated datalab-kernel version 0.2.7 from nblink-lock.json

v0.2.7

Bump version to 0.2.7

v0.2.6

Enhance documentation to clarify Xeus-Python foundation, connection m…

v0.2.5

Enhance Plotter class with geometry and table result display capabili…

v0.2.4

Bump version to 0.2.4 in __init__.py

v0.2.3

Bump version to 0.2.3 in __init__.py

v0.2.2

Bump version to 0.2.2 in __init__.py

v0.2.1

Bump version to 0.2.1 in __init__.py