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Generates thumbnails for datasets.

Project Description

This CKAN extension adds support for generation and display of thumbnail images. The helper function thumbnail_url can be called from a template, as in this example:

{% block thumbnail %}
{% set thumbnail = h.thumbnail_url( %}
{% if  thumbnail %}
    <a href="{{ h.url_for(controller='package', action='read', }}">
    <img class="dataset-list-thumbnail" src="{{ thumbnail }}">
{% endif %}
{% endblock %}
  • If a resource exists with the name thumbnail.png, this will be used.
  • If no resource exists with this name and the logged-in user has sufficient access, the thumbnail will be generated from the first matching JPEG or PNG resource.
  • If no thumbnail exists at this point, a placeholder image will be used.


  • CKAN 2.5.2
  • Pillow 3.2.0 (with PngImagePlugin and JpegImagePlugin)


To install ckanext-datasetthumbnail:

  1. Activate your CKAN virtual environment, for example:

    . /usr/lib/ckan/default/bin/activate
  2. Install the ckanext-datasetthumbnail Python package into your virtual environment:

    pip install ckanext-datasetthumbnail
  3. Add datasetthumbnail to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/production.ini).

  4. Restart CKAN. For example if you’ve deployed CKAN with Apache on Ubuntu:

    sudo service apache2 reload

Config Settings

# Show thumbnails
# (optional, default: False).
ckan.datasetthumbnail.show_thumbnail = True

# Autogenerate thumbnails
# (optional, default: False).
ckan.datasetthumbnail.auto_generate = True

# Generated thumbnail width
# (optional, default: 140).
ckan.datasetthumbnail.thumbnail_width = 140

# Generated thumbnail height
# (optional, default: int(width * 1.415)
ckan.datasetthumbnail.thumbnail_height = 140

Development Installation

To install ckanext-datasetthumbnail for development, activate your CKAN virtualenv and do:

git clone
cd ckanext-datasetthumbnail
python develop
pip install -r dev-requirements.txt

Running the Tests

To run the tests, do:

nosetests --nologcapture --with-pylons=test.ini

To run the tests and produce a coverage report, first make sure you have coverage installed in your virtualenv (pip install coverage) then run:

nosetests --nologcapture --with-pylons=test.ini --with-coverage --cover-package=ckanext.datasetthumbnail --cover-inclusive --cover-erase --cover-tests

Registering ckanext-datasetthumbnail on PyPI

ckanext-datasetthumbnail should be availabe on PyPI as If that link doesn’t work, then you can register the project on PyPI for the first time by following these steps:

  1. Create a source distribution of the project:

    python sdist
  2. Register the project:

    python register
  3. Upload the source distribution to PyPI:

    python sdist upload
  4. Tag the first release of the project on GitHub with the version number from the file. For example if the version number in is 0.0.1 then do:

    git tag 0.0.1
    git push --tags

Releasing a New Version of ckanext-datasetthumbnail

ckanext-datasetthumbnail is availabe on PyPI as To publish a new version to PyPI follow these steps:

  1. Update the version number in the file. See PEP 440 for how to choose version numbers.

  2. Create a source distribution of the new version:

    python sdist
  3. Upload the source distribution to PyPI:

    python sdist upload
  4. Tag the new release of the project on GitHub with the version number from the file. For example if the version number in is 0.0.2 then do:

    git tag 0.0.2
    git push --tags

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Source None Jul 11, 2016

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