Skip to main content

Single-Cell Analysis in Python.

Project description

Stars PyPI PyPIDownloads BiocondaDownloads Docs Build Status

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 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).

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-1.4.6.tar.gz (7.1 MB view details)

Uploaded Source

Built Distribution

scanpy-1.4.6-py3-none-any.whl (7.2 MB view details)

Uploaded Python 3

File details

Details for the file scanpy-1.4.6.tar.gz.

File metadata

  • Download URL: scanpy-1.4.6.tar.gz
  • Upload date:
  • Size: 7.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for scanpy-1.4.6.tar.gz
Algorithm Hash digest
SHA256 94fc75652e8cce8f12b9eb4e21e05f9d73a9475a181434f8e7a4bfa836334b68
MD5 e456d54c03c99397732b9c99d578ef57
BLAKE2b-256 889d24e22d2d4573db192e4c85933cfcb0480dce934066d1138aa162f1db3a64

See more details on using hashes here.

File details

Details for the file scanpy-1.4.6-py3-none-any.whl.

File metadata

  • Download URL: scanpy-1.4.6-py3-none-any.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

File hashes

Hashes for scanpy-1.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 029f52b481a5e8216dc9876670845f8db069802a0ca8721c4f1e4711a0496dd1
MD5 089e7605d74fc556397583054b9b4c2e
BLAKE2b-256 e8e06772a65571401bfc9c28be86cbff8aab0a33d82ae9dd53f238acbaa693bc

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