Django project template for building REST-ful web & hybrid apps with the wq framework
☁ wq's db library, extending Django REST framework and Mustache with database models to support design patterns common to field data collection systems for citizen science, crowdsourcing, and VGI.
wq.start: Project scaffolding tools for creating a new crowdsourcing or citizen science application with the wq framework.
Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
Import structured data (e.g. Excel, CSV, XML, JSON) into multiple Django models via an interactive web-based wizard
xlsconv: Command-line tool to convert questionnaires from Open Data Kit's XLSForm format into Django models and HTML (for use with https://wq.io/).
Swapper - The unofficial Django swappable models API.
wq: a modular framework supporting mobile / web geographic data collection applications for citizen science, crowdsourcing, and VGI. Powered by Django REST Framework, jQuery Mobile, Mustache, d3, and Leaflet.
▦ Python/Django reference implementation of the ERAV data model
Enhanced support for natural keys in Django and Django REST Framework.
Mustache template engine for Django 1.8 and newer, with support for Django context processors. Designed to support offline-capable web apps via progressive enhancement.
⇔ wq's io library, an interoperability tool for importing and exporting tabular and time series data, e.g. from citizen science, crowdsourcing, and VGI.
The core wq command line interface (CLI).
Python implementation of the (inactive) HTML JSON Forms spec.