https://github.com/datasette/datasette-enrichments

Tools for running enrichments against data stored in Datasette
https://github.com/datasette/datasette-enrichments

datasette datasette-plugin

Last synced: 2 months ago
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Tools for running enrichments against data stored in Datasette

• Host: GitHub
• URL: https://github.com/datasette/datasette-enrichments
• Owner: datasette
• License: apache-2.0
• Created: 2022-02-10T01:13:30.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-09-03T17:31:22.000Z (4 months ago)
• Last Synced: 2024-10-30T02:38:21.391Z (2 months ago)
• Topics: datasette, datasette-plugin
• Language: Python
• Homepage: https://enrichments.datasette.io
• Size: 81.1 KB
• Stars: 19
• Watchers: 4
• Forks: 0
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# datasette-enrichments

[![PyPI](https://img.shields.io/pypi/v/datasette-enrichments.svg)](https://pypi.org/project/datasette-enrichments/)

[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-enrichments?include_prereleases&label=changelog)](https://github.com/simonw/datasette-enrichments/releases)

[![Tests](https://github.com/simonw/datasette-enrichments/workflows/Test/badge.svg)](https://github.com/simonw/datasette-enrichments/actions?query=workflow%3ATest)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-enrichments/blob/main/LICENSE)

Tools for running enrichments against data stored in Datasette

Potential use-cases for enrichments include:

- Geocoding an address and populating a latitude and longitude column

- Executing a template to generate output based on the values in each row

- Fetching data from a URL and populating a column with the result

- Executing OCR against a linked image or PDF file

Documentation for this plugin lives at **[enrichments.datasette.io](https://enrichments.datasette.io/)**.

## Development

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

```bash

cd datasette-enrichments

python3 -mvenv venv

source venv/bin/activate

```

Or if you are using `pipenv`:

```bash

pipenv shell

```

Now install the dependencies and test dependencies:

```bash

pip install -e '.[test]'

```

To run the tests:

```bash

pytest

```