Metadata-Version: 2.4
Name: arrayview
Version: 0.23.0
Summary: Fast multi-dimensional array viewer
Project-URL: Home, https://github.com/oscarvanderheide/arrayview
Project-URL: Source, https://github.com/oscarvanderheide/arrayview
Author-email: Oscar <oscarvanderheide@example.com>
License: MIT
License-File: LICENSE
Keywords: array,mri,npy,viewer,visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.12
Requires-Dist: fastapi>=0.129.0
Requires-Dist: h5py>=3.0
Requires-Dist: jupyter-server-proxy>=4.0
Requires-Dist: matplotlib>=3.9.0
Requires-Dist: nibabel>=5.3.3
Requires-Dist: numpy>=2.4.2
Requires-Dist: pillow>=12.1.1
Requires-Dist: pyqt5>=5.15; sys_platform == 'linux'
Requires-Dist: pyqtwebengine>=5.15; sys_platform == 'linux'
Requires-Dist: python-multipart>=0.0.22
Requires-Dist: pywebview>=6.1
Requires-Dist: qmricolors>=0.1.2
Requires-Dist: qtpy>=2.0; sys_platform == 'linux'
Requires-Dist: scipy>=1.10
Requires-Dist: tifffile>=2023.1.1
Requires-Dist: uvicorn>=0.41.0
Requires-Dist: websockets>=14.0
Requires-Dist: zarr>=2.17
Description-Content-Type: text/markdown

# <img src="docs/logo.png" height="36"> arrayview

_This is my array viewer. There are many like it, but this one is mine._ 

And I think you might like it too. Fast, responsive scrolling
through slices of multi-dimensional arrays. Feature rich with a modern, minimal UI that only shows what needs to be shown.

It works wherever you work. The shell, scripts (Python/Julia/Matlab), or Jupyter notebooks. Local or remote. Easy to install.

VS Code users can even open the viewer just by clicking an array in the explorer tab. 

And if you're using the VS Code remote extension to connect to a remote, it just works—no additional setup required.

Curious? Give it a try with
```bash
uvx arrayview your_array.npy
```
Explore, there's more to it than meets the eye. 

Check the [docs](https://oscarvanderheide.github.io/arrayview/) to learn more. 

