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… is a django application for creating online questionnaires/surveys. It was designed as part of a project for an annual medical questionnaire, and as such, some extra features to help with sending email invitations are included.
- Multiple Questionnaires, multiple pages (QuestionSets) per questionnaire, multiple runs of same questionnaire per subject (eg. for
annual surveys) - Multilingual using the django transmeta application.
- Questions (ie. 6) & SubQuestions (ie. 6a), with appropriate layout tweaks.
- Email Invitations (direct URL to Questionnaire)
- Does not require Django’s authentication system to answer questionnaires
- CSV export of answers.
- Complex dependencies utilising a full Boolean Expression Parser, and
Javascript support. eg. (6a=yes and 6b=yes) OR 5=no - Easily extensible question types (Question Processor + Template, and
Answer Processor) - Built-in Question types include Open (single line), Open (text area),
Yes/No, Yes/No/Dont Know, Yes/No/Comment, Single Choice, Single
Choice + Freeform Option, Multiple Choice, Multiple Choice + Freeform
Option(s), Number Range, Time Period. - Django Signals on completion of QuestionSets and Questionnaires
django-transmeta – used for simple internationalisation
- http://code.google.com/p/django-transmeta/source/checkout
pyparsing – used for the boolean dependency parser
- http://pyparsing.wikispaces.com/Download+and+Installation
- easy_install pyparsing
textile – used for marking up the questions
- easy_install textile
- Widgets: Date/Time Widget, Date Range Widget
- Customisable answer checks (eg. for open answer questions)
- Better support for customised javascript
- Question Type Classes instead of (or in addition to) simple processing functions.
A simple example questionnaire can be seen at http://questionnaire.corporatism.org/
The two alternative questionnaire/survey implementations for Django that I’ve stumbled across are Django Questionnaire and Django Survey, but they both didn’t quite scratch my itch (although I quite like Django Survey’s question/type class design). Both didn’t quite support the model I needed for annual surveys, and both lacked dependency checking (but the authors are free to incorporate my dependency parser, if they wish)