Skip to main content

Single-Cell Analysis in Python.

Project description

Build Status Docs

Scanpy – Single-Cell Analysis in Python

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing and simulation of gene regulatory networks. The Python-based implementation efficiently deals with data sets of more than one million cells and enables easy integration of advanced machine learning algorithms.

Read the documentation. Learn more about conceptual ideas in our preprint.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
scanpy-0.2.9-cp35-cp35m-macosx_10_6_x86_64.whl (199.6 kB) Copy SHA256 hash SHA256 Wheel cp35
scanpy-0.2.9-cp36-cp36m-macosx_10_12_x86_64.whl (191.4 kB) Copy SHA256 hash SHA256 Wheel cp36
scanpy-0.2.9.tar.gz (205.5 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page