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-1.8.0.tar.gz (2.0 MB view details)

Uploaded Source

Built Distribution

scanpy-1.8.0-py3-none-any.whl (11.3 MB view details)

Uploaded Python 3

File details

Details for the file scanpy-1.8.0.tar.gz.

File metadata

  • Download URL: scanpy-1.8.0.tar.gz
  • Upload date:
  • Size: 2.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for scanpy-1.8.0.tar.gz
Algorithm Hash digest
SHA256 ed3a4502da53e85940f7b36cc8f0f1701f202fdd19d12da1afecd657db4289d6
MD5 f4ba646b25da6176fe340ead99321599
BLAKE2b-256 ec19eb015c798a51ee17ca0973647283ca692bd46d7290ffd93fa21cc6c691c7

See more details on using hashes here.

File details

Details for the file scanpy-1.8.0-py3-none-any.whl.

File metadata

  • Download URL: scanpy-1.8.0-py3-none-any.whl
  • Upload date:
  • Size: 11.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for scanpy-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f55ea23e2007a19b775ee1846eb947d7d379f5ac8d5519b6d2ee73a4fbb969ee
MD5 b677cf98a04374aa0db65b955c34ee7c
BLAKE2b-256 9553ca049e1b2126281d0d525fb4bdec1f2f523a987dce08a7d8ba9e12586d66

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