Skip to main content

Single-Cell Analysis in Python.

Project description

Stars PyPI Downloads Conda Docs Build Status Discourse topics Chat

Scanpy – Single-Cell Analysis in Python

Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

Discuss usage on the scverse Discourse. Read the documentation. If you'd like to contribute by opening an issue or creating a pull request, please take a look at our contributing guide. If Scanpy is useful for your research, consider citing Genome Biology (2018).

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

scanpy-1.9.7.tar.gz (4.6 MB view details)

Uploaded Source

Built Distribution

scanpy-1.9.7-py3-none-any.whl (2.0 MB view details)

Uploaded Python 3

File details

Details for the file scanpy-1.9.7.tar.gz.

File metadata

  • Download URL: scanpy-1.9.7.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for scanpy-1.9.7.tar.gz
Algorithm Hash digest
SHA256 c8cf5a4f1246e9dc5486d0ae9ac4950dc6fb5fa92c247cb571f96ff8e72145df
MD5 27ec702f7c5865a80f0b0716f0a99041
BLAKE2b-256 7bf98571e81145135a47af4d109c256b49c1d0d2f3419e91730d978192a43a07

See more details on using hashes here.

File details

Details for the file scanpy-1.9.7-py3-none-any.whl.

File metadata

  • Download URL: scanpy-1.9.7-py3-none-any.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for scanpy-1.9.7-py3-none-any.whl
Algorithm Hash digest
SHA256 046af177640f5d00a240f47a384cb7e769f1707a9af4871d9437d230e3cfc028
MD5 689e4c815d5685dfb33803a5c84bd82a
BLAKE2b-256 15c9c278b9d9eb6cb0270821e4f94be35e93b441f2eb1040fea3b5c412aa5135

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page