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Bring your single-cell data to life

Project description


Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:

  • Easily deploy on a laptop, on-premise server, cloud VM, or Google App Engine

  • View spatial transcriptomics data overlaid on an image

  • Share the current visualization state in a URL

  • Share datasets securely with collaborators

  • Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression

  • Generate composition plots to inspect cluster makeup

  • Explore complete differential expression results generated by Scanpy or Pegasus/Cumulus

  • Interactively create and share “AND” or “OR” filters

  • Collaboratively annotate cell types in real time (optionally using a controlled vocabulary)

  • Quickly load multiple features from predefined lists (see example)

  • Explore multiple features and embeddings simultaneously

  • Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools

  • Save publication quality images

  • Visualize datasets in h5ad, loom, Seurat, TileDB, zarr, or STAR-Fusion formats

  • Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points

Quick Start

Install the package:

pip install cirrocumulus

Launch cirrocumulus via the command line:

cirro launch <path_to_dataset>
  • Launch accepts more than one dataset to enable quick dataset switching or to combine modalities (e.g gene fusions and expression) stored in separate files.

Example Data

Complete documentation available at

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