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


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-0.2.8.tar.gz (198.8 kB view details)

Uploaded Source

Built Distributions

scanpy-0.2.8-cp36-cp36m-manylinux1_x86_64.whl (225.5 kB view details)

Uploaded CPython 3.6m

scanpy-0.2.8-cp36-cp36m-macosx_10_12_x86_64.whl (178.7 kB view details)

Uploaded CPython 3.6m macOS 10.12+ x86-64

scanpy-0.2.8-cp35-cp35m-macosx_10_6_x86_64.whl (186.7 kB view details)

Uploaded CPython 3.5m macOS 10.6+ x86-64

File details

Details for the file scanpy-0.2.8.tar.gz.

File metadata

  • Download URL: scanpy-0.2.8.tar.gz
  • Upload date:
  • Size: 198.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for scanpy-0.2.8.tar.gz
Algorithm Hash digest
SHA256 24c7f0875b2ebdba1c6c060f3242b2afe6659819908c87d6a8483a65619ef09b
MD5 55426525e92a8403aac63e9f84c261f3
BLAKE2b-256 ae321aebb637c7ef2e05938022a8055309fd9f629f6fc5e3563117c252cac5b6

See more details on using hashes here.

File details

Details for the file scanpy-0.2.8-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scanpy-0.2.8-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 16906ec950ae1245761cf2245bef32e5af581ab034cfafb35147da33828aa16a
MD5 1f4ae91beb498a9c38f3c9883b8bf5b3
BLAKE2b-256 edd873fb4806f4e628d007e343ecbcb15b8ada3f5fe5777725bf55276ccb3f99

See more details on using hashes here.

File details

Details for the file scanpy-0.2.8-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for scanpy-0.2.8-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7b91e11effeb492af1fae2b0132422f6dd0bb7de03b47533ba03433cb16c2560
MD5 da54cba830a84f0e5e61f4cac015a860
BLAKE2b-256 82a74986be2c79288386acfd38bca3676b61c9f01e178952dfc3496489db4baf

See more details on using hashes here.

File details

Details for the file scanpy-0.2.8-cp35-cp35m-macosx_10_6_x86_64.whl.

File metadata

File hashes

Hashes for scanpy-0.2.8-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 18d8f8a2f1b821aabbd27196ed33f29618e5b9bfd4c2fba2fd092a834b50142d
MD5 24309d6e99c96ebd29e0a8fdab8db649
BLAKE2b-256 d8540fa1b6cca839d9c437022dd648a34f69765b6fc5d4cd780a464344ab6f2e

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