Skip to main content

sfaira is a model and a data repository for single-cell data in a single python package.

Project description

|Build| |Documentation| |Stars| |PyPI| |PyPIDownloads|

.. |Build| image:: https://github.com/theislab/sfaira/workflows/Build%20sfaira%20Package/badge.svg :target: https://github.com/theislab/sfaira/workflows/Build%20sfaira%20Package/badge.svg :alt: Github Workflow Build sfaira Status

.. |Documentation| image:: https://readthedocs.org/projects/sfaira/badge/?version=latest :target: https://sfaira.readthedocs.io/en/latest/ :alt: Documentation Status

.. |Stars| image:: https://img.shields.io/github/stars/theislab/sfaira?logo=GitHub&color=yellow :target: https://github.com/theislab/sfaira/stargazers :alt: Github Stars

.. |PyPI| image:: https://img.shields.io/pypi/v/sfaira?logo=PyPI :target: https://pypi.org/project/sfaira :alt: PyPI Version

.. |PyPIDownloads| image:: https://pepy.tech/badge/sfaira :target: https://pepy.tech/project/sfaira :alt: Number of downloads

sfaira - data and model repository for single-cell data

.. image:: https://github.com/theislab/sfaira/blob/master/resources/images/concept.png :width: 1000px :align: center

sfaira_ is a model and a data repository in a single python package (preprint_). We provide an interactive overview of the current state of the zoos on sfaira-portal_.

Its data zoo gives users access to streamlined data loaders that allow reproducible use of published and private data sets for model training and exploration. Its model zoo gives user streamlined access to pre-trained models and to common model architectures to ease usage of neural networks in common single-cell analysis workflows: A model zoo is a software infrastructure that improves user access to pre-trained models which are separately published, such as DCA_ or scArches_: Instead of focussing on developing new models, we focus on making models easily accessible to users and distributable by developers. sfaira integrates into scanpy_ workflows.

.. _scanpy: https://github.com/theislab/scanpy .. _sfaira: https://sfaira.readthedocs.io .. _preprint: https://www.biorxiv.org/content/10.1101/2020.12.16.419036v1 .. _DCA: https://github.com/theislab/dca .. _scArches: https://github.com/theislab/scarches .. _sfaira-portal: https://theislab.github.io/sfaira-portal/

Project details


Download files

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

Source Distribution

sfaira-0.3.3.tar.gz (172.7 kB view details)

Uploaded Source

Built Distribution

sfaira-0.3.3-py2.py3-none-any.whl (247.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file sfaira-0.3.3.tar.gz.

File metadata

  • Download URL: sfaira-0.3.3.tar.gz
  • Upload date:
  • Size: 172.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for sfaira-0.3.3.tar.gz
Algorithm Hash digest
SHA256 ad8cc24696c466a02ed3ca8eec03500dc367a8383157e52a5bba879047991753
MD5 f5712a464e97fc6a3e69056527254127
BLAKE2b-256 100052f1a9000d999d50bf266c3e284dd8b45107fd1bdc1a7754c59f9d6e757c

See more details on using hashes here.

File details

Details for the file sfaira-0.3.3-py2.py3-none-any.whl.

File metadata

  • Download URL: sfaira-0.3.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 247.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for sfaira-0.3.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c68f5b4867d50579940186fa235e88a718162b2f2b002a9530a9734f86d5b560
MD5 461bfc3a8b12e971cfe2508e7df619a5
BLAKE2b-256 48574fd3df7abdf5aa605cd61f12f576259c37fa55736f3f45cd7995071ae4cf

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