Metadata-Version: 2.1
Name: scviz
Version: 0.1.10b0
Summary: A package to visualize single cell proteomics (and more to come!) data
Author-email: Marion Pang <sr_pang@hotmail.com>
Project-URL: Homepage, https://github.com/gnaprs/scviz
Project-URL: Issues, https://github.com/gnaprs/scviz/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy ==1.26.4
Requires-Dist: pandas ==2.2.2
Requires-Dist: matplotlib ==3.8.4
Requires-Dist: seaborn ==0.13.2
Requires-Dist: upsetplot ==0.9.0
Requires-Dist: scikit-learn ==1.4.2
Requires-Dist: scipy ==1.13.0
Requires-Dist: umap-learn ==0.5.6
Requires-Dist: adjustText ==1.1.1
Requires-Dist: anndata ==0.10.7
Requires-Dist: requests
Requires-Dist: matplotlib-venn ==0.11.10
Requires-Dist: pyarrow
Provides-Extra: pytest
Requires-Dist: openpyxl ; extra == 'pytest'

# scviz
The `scviz` package is a Python library designed for scientific visualization of single cell proteomics data, with plans to support more data types in the future.

## Installation
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install scviz. Currently, scviz is available on testPyPi:
```bash
pip install -i https://test.pypi.org/simple/ scviz
```
A local version of the package can also be installed by:
```bash
$ pip install -e \<insert folder path\>
```

## Usage
Please refer to docs (link) example jupyter notebook: Chapter 1.

## License
`scviz` was created by Marion Pang. It is licensed under the terms of the MIT license.
