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Cookiecutter template for creating VisiData plugins

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VisiData plugin cookiecutter template

Documentation:

You can use this template with cookiecutter, or create a new repository based on the template and modify by hand.

Requirements

Usage

Run cookiecutter gh:visidata/visidata-plugin and then answer the prompts. This will help set the fundamentals for your plugin structure.

If you are not using cookiecutter, rename {{cookiecutter.plugin_name}}.py to the name of your plugin, and add the plugin code to it.

Publishing your plugin

To publish a plugin:

  1. Make public Github repo with your .py file.
  2. Fork [visidata:dlc](https://github.com/visidata/dlc)
  3. Add a row to `visidata-plugins.jsonl' with all of the necessary information. (If using cookiecutter, it will create a template for your row in plugins-sample.jsonl.)
  • name: short name of the plugin (like vfake). Less than 20 characters.
  • description: a one-line searchable description of the core features. Less than 1000 characters.
  • maintainer: like Your Name <name@example.com>.
  • latest_release: date of most recent release, ISO formatted like 2020-02-02.
  • latest_ver: version of most recent release, like v1.4.
  • url: link to the primary page (which may be the raw .py file itself, if it describes itself effectively).
  • visidata_ver: version of VisiData required, like v2.0.
  • pydeps: space-separated list of PyPI dependencies (like in requirements.txt).
  • vdplugindeps: space-separated list of vd plugin dependencies.
  • sha256: SHA256 hash of plugin .py of most recent release. A script for obtaining this has can be found in vdhash.py.
  1. Submit a PR to the visidata/dlc repo.
  2. We will do basic review and then merge the PR.
  3. VisiData users will be able to see the plugin using plugins-sheet within 24 hours.

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Cookiecutter template for creating VisiData plugins

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