Django-MDQ 1.2.0
web application
A lightweight SAML2 MDQ server that implements draft-young-md-query implementation.
Published by UNIVERSITA' DELLA CALABRIA
Technical contact Giuseppe De Marco
Vitality:
56%
The vitality index, as explicited in the guidelines for the acquisition and reuse of software for Italian PA, is calculated according to the following four main categories:
- Code activity: the daily number of commits and merges;
- Release history: the daily number of releases;
- User community: the number of unique authors;
- Longevity: the age of the project.
The ranges of every measure can be found in the vitality-ranges.yml file.
Development status: stable
Software functionality
Runs on top of the metadata downloaded and validated by pyFF (batch pipeline)
Have signing features (on top of xmlsec)
Have ValidUntil definitions feature
Supported Entity Identifiers are urlencoded, sha1 and base64
https://www.unical.it
detailed information
Django-MDQ 1.2.0
web application
Last release 2020-01-13 (1.2.0)
Type of maintenance internal
License Apache-2.0
                  Platforms
                  
                      linux
                  
                      web
                  
                
                  List of dependencies
                  
                      
                          OSS
                          
                          
    MariaDB 
                          
                          
    Python 
                          
                          
    Django 
                          
                      
                      
                      
                   
                
Enabling platforms None
Compliance GDPR Security Guidelines
Supported languages
                  
                
                
Italian
                
                
English
                
                
                
Extended description
Django SAML MDQ ————— A lightweight SAML2 MDQ server that implements draft-young-md-query implementation: 1) Runs on top of the metadata downloaded and validated by pyFF (batch pipeline) 2) Have signing features (on top of xmlsec) 3) Have ValidUntil definitions feature 4) Supports the following Entities Identifiers: urlencoded, {sha1} and {base64} Remember that pyFF is needed for metadata downloading, it can run as daemon or as a scheduled process (batch)