Skip to main content

Export Datasette records as GitHub flavoured markdown

Project description


PyPI Changelog Tests License

Export Datasette records as GitHub flavoured markdown


Install this plugin in the same environment as Datasette.

$ datasette install datasette-gfm


Having installed this plugin, every table and query will gain a new .md export link.

You can also construct these URLs directly: /dbname/




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

cd datasette-gfm
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:



This plugin is very heavily based on datasette-yaml by Simon Willison.

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

datasette-gfm-0.1.1.tar.gz (2.4 kB view hashes)

Uploaded source

Built Distribution

datasette_gfm-0.1.1-py3-none-any.whl (2.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page