Skip to content
Single-Cell Analysis in Python. Scales to >1M cells.
Branch: master
Clone or download
Latest commit 01b5d78 Apr 18, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
docs adapted css to style headings consistently Apr 18, 2019
scanpy added malte as author Apr 18, 2019
.coveragerc added coveragerc Nov 15, 2017
.editorconfig several minor updates Dec 14, 2017
.gitattributes
.gitignore
.readthedocs.yml
.travis.yml
CONTRIBUTING.md Typos, formatting Apr 18, 2019
LICENSE Add theis lab to license Sep 26, 2018
MANIFEST.in updated manifest Sep 3, 2018
README.rst
conftest.py
pytest.ini
requirements.txt First draft of expression atlas downloader Mar 29, 2019
setup.cfg automated setup.py Aug 30, 2017
setup.py Implemented a CLI (#604) Apr 16, 2019
versioneer.py added python_requires Sep 25, 2018

README.rst

PyPI bioconda Docs Build Status

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 and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

Read the documentation. If Scanpy is useful for your research, consider citing Genome Biology (2018).

You can’t perform that action at this time.