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CLIO — Cross-notebook Library for Images and Outputs

Figure Explorer for JupyterLab

Clio collects PNG, JPEG, WebP, and SVG figures from open Jupyter notebooks into a searchable, comparable, and exportable gallery. It provides a notebook sidebar, gallery views in the main area or side panel, and an optional separate browser window for a second monitor.

Installation

pip install clio-jupyter

Restart JupyterLab after installation. Use the Command Palette to run Clio: Open Gallery as Tab.

Clio is a prebuilt JupyterLab 4 extension: end users do not need Node.js or a local extension build.

Highlights

  • Discovers PNG, JPEG, WebP, and SVG figures from all open notebooks.
  • Searches and filters by title, notebook, tag, and source code, including title:, tag:/tags:, code:, cell:, and figure: queries.
  • Keeps a persistent starred collection, including metadata for figures whose notebooks are currently closed.
  • Keeps earlier runs of changed figures in a session-only history for browsing, comparison, copying, and export. History resets when the JupyterLab page closes.
  • Lets you view, copy, or safely restore the cell source captured with a historical plot version. Restoration is undoable and never runs the cell automatically.
  • Supports zoomable previews, Focus Figure, multi-selection, comparison mode, keyboard navigation, and cell reveal.
  • Applies save, PDF export, and star/unstar actions to the complete thumbnail selection.
  • Saves original image formats, exports PDFs, and copies images as PNG.

For developer documentation, see the JupyterLab extension source. For release history, see the Clio JupyterLab changelog.

License

Clio is released under the MIT License.

Metadata

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