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Shows a bar chart with benchmark results.

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Marsilea: Declarative creation of composable visualization!


Documentation

You can read the documentation on Read the Docs.

Read Documentation

Installation

Using PIP

pip install marsilea

Using Conda/Mamba

conda install -c conda-forge marsilea
# or
mamba install -c conda-forge marsilea

Claude skill

/plugin marketplace add Marsilea-viz/marsilea-skill
/plugin install marsilea@marsilea-marketplace

Once installed, the skill activates automatically whenever you ask Claude for a composable visualization. Marsilea itself still needs to be installed in your Python environment (see above). See the marsilea-skill repository for details.

What is Composable Visualization?

Shows a bar chart with benchmark results.

When we do visualization, we often need to combine multiple plots to show different aspects of the data. For example, we may need to create a heatmap to show the expression of genes in different cells, and then create a bar chart to show the expression of genes in different cell types. A visualization contains multiple plots is called a composable visualization. In Marsilea, we employ a declarative approach for user to create composable visualization incrementally.

Citation

If you use Marsilea in your research, please cite the following:

Marsilea: an intuitive generalized paradigm for composable visualizations

Yimin Zheng, Zhihang Zheng, André F. Rendeiro & Edwin Cheung

Genome Biology 2025 Jan 06. DOI: 10.1186/s13059-024-03469-3

Get helps

  1. Open an issue
  2. Join us on Gitter

Examples

Bar Chart With Image Stacked Bar Arc Diagram
Heatmap Oncoprint Upsetplot

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