Skip to main content

eHooke implementation within napari

Project description

napari-ehooke

License BSD-3 PyPI Python Version tests codecov napari hub

eHooke implementation within napari


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

Installation

You can install napari-ehooke via pip:

pip install napari-ehooke

To install latest development version :

pip install git+https://github.com/antmsbrito/napari-ehooke.git

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 BSD-3 license, "napari-ehooke" is free and open source software

Issues

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari_ehooke-0.0.15.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

napari_ehooke-0.0.15-py3-none-any.whl (24.7 kB view details)

Uploaded Python 3

File details

Details for the file napari_ehooke-0.0.15.tar.gz.

File metadata

  • Download URL: napari_ehooke-0.0.15.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for napari_ehooke-0.0.15.tar.gz
Algorithm Hash digest
SHA256 8f586e002ccc79cc5bce18c3438b03b44409720e23dd47f02ede64be2521ac35
MD5 29ab32c3e0cf99d4a5993e1a9022344c
BLAKE2b-256 dc60bee0c79493019cc55a4b773c628c6a284b1eb85cdf9010757bf961c9a25f

See more details on using hashes here.

File details

Details for the file napari_ehooke-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: napari_ehooke-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 24.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for napari_ehooke-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 d6114c5e8d8ec95d2fd95bbd99436bab9b09a47925d57b91de8b96bae4c75100
MD5 6b9871589979458c47d50c57ff5361ae
BLAKE2b-256 20923073f04dd588b5e23a202f50208e1d9f36b284ebb7ef896083a4a32114fc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page