Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/simonw/datasette-copyable

Datasette plugin for outputting tables in formats suitable for copy and paste
https://github.com/simonw/datasette-copyable

datasette datasette-io datasette-plugin

Last synced: 25 days ago
JSON representation

Datasette plugin for outputting tables in formats suitable for copy and paste

Awesome Lists containing this project

README

        

# datasette-copyable

[![PyPI](https://img.shields.io/pypi/v/datasette-copyable.svg)](https://pypi.org/project/datasette-copyable/)
[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-copyable?include_prereleases&label=changelog)](https://github.com/simonw/datasette-copyable/releases)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-copyable/blob/master/LICENSE)

Datasette plugin for outputting tables in formats suitable for copy and paste

## Installation

Install this plugin in the same environment as Datasette.

$ pip install datasette-copyable

## Demo

You can try this plugin on [fivethirtyeight.datasettes.com](https://fivethirtyeight.datasettes.com/) - browse for tables or queries there and look for the "copyable" link. Here's an example for a table of [airline safety data](https://fivethirtyeight.datasettes.com/fivethirtyeight/airline-safety~2Fairline-safety.copyable).

## Usage

This plugin adds a `.copyable` output extension to every table, view and query.

Navigating to this page will show an interface allowing you to select a format for copying and pasting the demo. The default is TSV, which is suitable for copying into Google Sheets or Excel.

You can add `?_raw=1` to get back just the raw data.

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-copyable
python3 -mvenv venv
source venv/bin/activate

Or if you are using `pipenv`:

pipenv shell

Now install the dependencies and tests:

pip install -e '.[test]'

To run the tests:

pytest