A Django app to show SQLite datasets as tables with configurable features:
- column value formatting
- column sorting
- column facets and filters
- searching via SQLite's FTS5
- pagination
- exporting to CSV
- row-level detail view.
This app is designed for read-only (or rarely updated) datasets that you want to publish on the web and where you control and trust the content.
pip install django-datashow
Add datashow
to your INSTALLED_APPS
in settings.py
:
INSTALLED_APPS = [
...
'datashow',
...
]
Hook up the datashow
URLs in your project's urls.py
:
from django.urls import path, include
urlpatterns = [
...
path('data/', include('datashow.urls')),
...
]
You can configure the following settings in your settings.py
:
DATASHOW_DB_CACHE_PATH
: Path to the SQLite database cache directory. If not set, uses a temporary directory. When the SQLite file needs to be read, it gets copied from your MEDIA storage to this cache path. A new dataset version invalidates the cache.DATASHOW_STORAGE_BACKEND
: The Django storage backend name to use for storing the SQLite files. Default is"default"
.