Publication-quality network visualisations in python

Generate high quality, publication ready visualizations for single cell transcriptomics data.

Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.

Fast, modular and reproducible generation of publication quality scientific figures and movies with only a few lines of code.

The proplot examples translated to Julia using PyCall.jl and PyPlot.jl.

Visualize and print volumetric brain data