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DataCards 2.2.4 is released 🎉
Release Notes2.2.4

2.2.4

New features

(Please note that by default, beta features are not available to all users. If there is a feature you would like to test, please contact us).

  • AI Assistant (Beta). An AI agent that can assist you with creating dashboards, notebooks and processes.
  • Support for DataCards processes containing loops (Beta).
  • Update backend network routing architecture to enable more flexible on-premise enterprise deployments.
  • Grid card (Beta). A new card that displays a DataFrame as an interactive, editable table.
  • Iframe card (Beta). A new card allowing you to embed external web content into your dashboard.
  • Several new highly-configurable data visualization cards (Beta) including an area chart, a radar chart and a radial chart.

Features made stable in this release

  • Drag and Drop cards in decks

Breaking changes

  • DataCards SDK: logic_view_size is now a required property when using datacards.publish.card()
  • DataCards SDK: input_key is now a required property when publishing input cards using datacards.publish.card()

Bug fixes

  • Fixed a frontend synchronization issue that caused the wrong notebook to be displayed in some situations.
  • Fixed an issue where cards in decks could be rendered in the wrong positions after the window had been open for a long time.
  • Fixed a regression of a bug where collision detection interfered with the deck layout set in the SDK.
  • Fixed a bug where it was possible for some DataCards processes to continue running despite an error being raised in a notebook.
  • Fixed a bug where an error would be raised when running the notebook for some matplotlib-based card store templates.
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