Metadata-Version: 2.3
Name: sciduck
Version: 0.1.3
Summary: single cell data analyis unification and communication toolkit
Project-URL: Source, https://github.com/AllenInstitute/sciduck
Author: Nelson Johansen, Yuanyuan Fu, Dan Yuan, Zizhen Yao, Trygve Bakken
Maintainer-email: Nelson Johansen <nelson.johansen@alleninstitute.org>
License-Expression: BSD-3-Clause
License-File: LICENSE
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.9
Requires-Dist: anndata>=0.8
Requires-Dist: numpy>=1.23
Requires-Dist: pandas>=1.5
Requires-Dist: scipy>=1.8
Description-Content-Type: text/markdown

# sciduck: single cell data analysis unification and communication toolkit

`sciduck` provides a transparent framework for single cell/nuclei quality control and annotation. The package was built following **anndata** and **scanpy** to easily fit into related workflows. It provides tranparency to single cell analysis pipelines for reproducible data analysis and annotation.  The Python-based implementation efficiently deals with
datasets of more than one million cells.

<div align="center">
<img
    src="/logo/sciduck_DALLEv0.png"
    width="200"
>
</div>

## Installation

`pip install sciduck`
