VeloEV Documentation

Welcome to VeloEV’s documentation! VeloEV is a comprehensive Python package designed for benchmarking RNA velocity methods.

📦 Installation Guide

You can install veloev by cloning the repository and installing it via pip.

git clone https://github.com/edawu11/VeloEV.git
cd VeloEV
pip install .

🚀 Quick Start

For RNA velocity method implementation details, please visit our GitHub repository.

To quickly start the evaluation and visualization, you can download demo data covering four methods and three datasets via this link.

📚 Tutorials

Explore our comprehensive tutorials to get started with VeloEV:

Tutorials:

• 1. Postprocessing
• 2. Evaluation
• 3. Visualization
  • 3.1 Task specific visualization
  • 3.2 Overall performance visualization

📖 Reference

If you use VeloEV in your research, please cite our paper:

Yida Wu, Chuihan Kong, Xu Liao, Zhixiang Lin, Xiaobo Sun, Jin Liu. Comprehensive benchmarking of RNA velocity methods across single-cell datasets. Preprint. 2026.