Metadata-Version: 2.4
Name: arrayview
Version: 0.12.0
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: 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

#  arrayview

This is what looking at arrays should feel like.

Load up `.npy`, `.nii`, `.h5`, `.mat` and friends. Works locally, in Jupyter, over SSH and VS Code tunnels. Press `?` once you're in.

## CLI

```bash
uvx arrayview your_array.npy
```

## Python

```bash
uv add arrayview
```

```python
from arrayview import view
view(arr)
```

[docs →](https://oscarvanderheide.github.io/arrayview/)

