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This release is a pre-release and may not be stable for production use.

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PyPI version Python License Documentation

Interactive spatial‑omics analysis & visualisation toolkit for single‑cell and spatial transcriptomics data

Celldega

Demo

Celldega Demo Video

https://github.com/user-attachments/assets/ce43a3a0-8aff-4424-be74-8bb06c29a9c9

Celldega combines scalable computational pipelines with GPU‑accelerated, web‑native visualisations so you can explore millions of cells and transcripts directly inside Jupyter Lab, VS Code, or any modern browser. Built for researchers working with Xenium, Visium HD, MERFISH, and other spatial omics technologies.

🚀 Quick Start (30 min)

Installation

pip install celldega

For Terra.bio Users

Add this to your startup script for image processing features (more info):

apt update && apt install -y libvips libvips-tools libvips-dev

Example Usage

base_url = 'https://raw.githubusercontent.com/broadinstitute/celldega_Xenium_Prime_Human_Skin_FFPE_outs/main/Xenium_Prime_Human_Skin_FFPE_outs'

landscape_ist = dega.viz.Landscape(
    technology="Xenium",
    ini_zoom=-4.5,
    ini_x=6000,
    ini_y=8000,
    base_url=base_url,
    height=700,
    width=600,
)

# Alternatively pass an AnnData object to auto-populate cell metadata
# including "leiden" clusters, colors and UMAP coordinates.
landscape_from_adata = dega.viz.Landscape(
    base_url=base_url,
    AnnData=adata,
)

file_path = 'https://raw.githubusercontent.com/broadinstitute/celldega_Xenium_Prime_Human_Skin_FFPE_outs/main/Xenium_Prime_Human_Skin_FFPE_outs/df_sig.parquet'
df = pd.read_parquet(file_path)

mat = dega.clust.Matrix(df)
mat.cluster()
cgm = dega.viz.Clustergram(matrix=mat)

dega.viz.landscape_clustergram(landscape_ist, cgm)

Celldega Demo

📖 Documentation & Examples

🛠️ Development Setup (for Contributors)

Get started contributing in 2 minutes:

git clone https://github.com/broadinstitute/celldega.git
cd celldega

bash ./scripts/setup.sh

source dega/bin/activate
npm run dev

See our Contributing Guide for detailed instructions.

🏗️ Repository Structure

Directory/File Purpose
src/celldega/ 🐍 Core Python package
js/ 🌐 JavaScript widgets & visualizations
examples/ 📓 Jupyter notebook examples
docs/ 📚 Documentation source
js/__tests__/ 🧪 JS/TS Test suites
tests/ 🧪 Python Test suites
scripts/ 🔧 Development utilities

🤝 Contributing

We welcome contributions from the bio community! Whether you're a:

  • 🧬 Researcher - Share datasets, create tutorials, improve documentation
  • 👩‍💻 Developer - Add features, fix bugs, optimize performance
  • 📚 Educator - Create educational content, examples, workshops
  • 🎨 Designer - Improve visualizations, user experience, documentation

Getting started:

  1. Read our Contributing Guide
  2. Check open issues for ideas
  3. Join discussions to ask questions

🆘 Getting Help

Questions about using Celldega?

Found a bug or want a feature?

📊 Citation

If Celldega helps your research, please cite us:

@software{celldega,
  title   = {Celldega: Interactive spatial‑omics analysis & visualisation toolkit},
  author  = {{Broad Institute}},
  url     = {https://github.com/broadinstitute/celldega},
  version = {0.12.0},
  year    = {2025}
}

🏛️ About

Celldega is developed at the Broad Institute together with the biology research community. Our mission is to make spatial transcriptomics analysis accessible, interactive, and beautiful.

Built on amazing open source tools:

  • deck.gl - GPU-accelerated visualizations
  • PyArrow - Fast columnar data processing
  • AnnData - Annotated data matrices
  • SpatialData - Spatial omics data structures

Made with 🧬 by the Spatial Technology Platform at the Broad Institute

Metadata

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