Alfanous is a Quranic search engine that provides simple and advanced search services in the diverse information of the Holy Quran. It is built on the foundations of modern search engines to ensure high stability and high-speed searching. It has features to help the user search like highlighting and suggestions. Alfanous is necessarily focused on searching in the Arabic language, and so it provides Arabic morphological analysis to allow users more liberty in the formulation of queries and also to increase the accuracy of the research and its comprehensiveness.
Django Inventory is an inventory and asset control Web application. It features an object oriented approach to asset and inventory management, a CSV import utility, per asset or per item type photos and information, the ability to match suppliers to item types, a site wide search capability, user defined states for assets, the ability to define an item as a supply to another item, the ability to assign assets to one or more individuals, user photos, group assets, inventories or user per locations, purchase requests, and purchase orders.
Django REST framework is a lightweight REST framework for Django that aims to make it easy to build well-connected, self-describing RESTful Web APIs. It creates self-documenting Web APIs that include a Django admin style frontend. It has a modular, flexible architecture using Django's class based views. API creation can be as simple as adding a couple of lines to urls.py.
Django-live-profiler is a low-overhead data access and code profiler for Django-based applications. Profiling Web applications on a development environment often produces misleading results due to different patterns in the data, different patterns in user behavior, and differences in infrastructure. All existing DB access profiling solutions for Django seem to focus on a single request, but in the real world certain queries might be negligible in a single request while still putting a considerable strain the database across all requests. Django-live-profiler aims to solve these issues by collecting database usage data from a live application.