Metadata-Version: 2.1
Name: napari-dvid
Version: 0.2.0
Summary: DVID loader for napari, from a url
Home-page: https://github.com/emmazhou/napari-dvid
Author: Emma Zhou
Author-email: emma@emmazhou.com
License: MIT
Project-URL: Bug Tracker, https://github.com/emmazhou/napari-dvid/issues
Project-URL: Documentation, https://github.com/emmazhou/napari-dvid#README.md
Project-URL: Source Code, https://github.com/emmazhou/napari-dvid
Project-URL: User Support, https://github.com/emmazhou/napari-dvid/issues
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Framework :: napari
Classifier: Topic :: Software Development :: Testing
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# napari-dvid

[![License](https://img.shields.io/pypi/l/napari-dvid.svg?color=green)](https://github.com/emmazhou/napari-dvid/raw/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-dvid.svg?color=green)](https://pypi.org/project/napari-dvid)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-dvid.svg?color=green)](https://python.org)
[![tests](https://github.com/emmazhou/napari-dvid/workflows/tests/badge.svg)](https://github.com/emmazhou/napari-dvid/actions)
[![codecov](https://codecov.io/gh/emmazhou/napari-dvid/branch/master/graph/badge.svg)](https://codecov.io/gh/emmazhou/napari-dvid)

DVID loader for napari, from a url

---

This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.

<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started

and review the napari docs for plugin developers:
https://napari.org/docs/plugins/index.html
-->

## Installation

You can install `napari-dvid` via [pip]:

    pip install napari-dvid

## Examples

Once installed, run `napari --with napari-dvid` to get the plugin sidebar:

![Screenshot](screenshot.png)

Paste in a URL to a DVID volume and hit "Load" to load the volume! As an example, try:

`https://emdata.janelia.org/api/node/ab6e610d4/grayscale/raw/0_1_2/256_256_256/7500_7000_4400`

## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [MIT] license,
"napari-dvid" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[mit]: http://opensource.org/licenses/MIT
[bsd-3]: http://opensource.org/licenses/BSD-3-Clause
[gnu gpl v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[gnu lgpl v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[apache software license 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[mozilla public license 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/emmazhou/napari-dvid/issues
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[pypi]: https://pypi.org/


