Popularity

3.7

Declining

Activity

0.0

Stable

Stars 260

Watchers 37

Forks 94

Last Commit over 5 years ago

Code Quality Rank: L1

Programming language: C++

License: GNU Lesser General Public License v3.0 only

Tags: Web Application Framework

Latest version: v0.6.2

QDjango alternatives and similar libraries

Based on the "Web Application Framework" category.
Alternatively, view QDjango alternatives based on common mentions on social networks and blogs.

Oat++

8.8 8.4 QDjango VS Oat++

🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
Crow

8.7 0.0 L1 QDjango VS Crow

Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)

WorkOS - The modern identity platform for B2B SaaS

The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

Promo workos.com

drogon

8.6 9.0 QDjango VS drogon

Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
lwan

8.4 8.5 QDjango VS lwan

Experimental, scalable, high performance HTTP server
Kore

7.7 5.9 L3 QDjango VS Kore

An easy to use, scalable and secure web application framework for writing web APIs in C or Python. || This is a read-only mirror, please see https://kore.io/mail and https://kore.io/source for information on how to contribute via the mailing lists.
Civetweb

7.7 7.7 L2 QDjango VS Civetweb

Embedded C/C++ web server
Pistache

7.7 6.9 QDjango VS Pistache

A high-performance REST toolkit written in C++
CrowCpp

7.2 8.2 QDjango VS CrowCpp

A Fast and Easy to use microframework for the web.
libOnion

6.8 0.0 L4 QDjango VS libOnion

C library to create simple HTTP servers and Web Applications.
Wt

6.7 8.9 L3 QDjango VS Wt

Wt, C++ Web Toolkit
facil.io

6.5 0.0 L2 QDjango VS facil.io

Your high performance web application C framework
TreeFrog Framework

6.0 7.5 L2 QDjango VS TreeFrog Framework

TreeFrog Framework : High-speed C++ MVC Framework for Web Application
Cutelyst

5.1 9.6 QDjango VS Cutelyst

A C++ Web Framework built on top of Qt, using the simple approach of Catalyst (Perl) framework.
CppCMS

4.3 1.7 QDjango VS CppCMS

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QSimpleScada

3.5 0.0 QDjango VS QSimpleScada

Qt based simple SCADA framework, with dashboard, static and dynamic components
httpp

2.9 5.1 L1 QDjango VS httpp

Micro http server and client written in C++

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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README

QDjango - a Qt-based C++ web framework
Copyright (c) 2010-2015 Jeremy Lainé

About

QDjango is a web framework written in C++ and built on top of the Qt library. Where possible it tries to follow django's API, hence its name.

It is released under the terms of the GNU Lesser General Public License, version 2.1 or later.

To learn more about QDjango, please read the online documentation.

Requirements

QDjango builds and is auto-tested both with Qt 4 and Qt 5.

Qt 4 on Debian:

sudo apt-get install libqt4-dev

Qt 5 on Debian:

sudo apt-get install qtbase5-dev

Qt 4 on Mac OS X:

sudo port install qt4-mac

Building QDjango

mkdir build
cd build
qmake ..
make

You can pass the following arguments to qmake:

PREFIX=<prefix>                 to change the install prefix
                                default:
                                    unix:  /usr/local on unix
                                    other: $$[QT_INSTALL_PREFIX]
QDJANGO_LIBRARY_TYPE=staticlib  to build a static version of QDjango

Mailing list

If you wish to discuss QDjango, you are welcome to join the QDjango group.

Notes

MSSQL

Fast forward cursors are used by default. This greatly improves performance, and has the added benefit of implicitly converting to a static cursor when it needs to. Unfortunately, this also means that these cursors can block a connection to the server. In order to deal properly with this situation, there are a few requirements:

Connection pooling must be enabled in your ODBC manager
You must enable Multiple Active Result Sets in the QODBC driver using "MARS_Connection=Yes" in the connection string
You must enable connection pooling in the QODBC driver using the "SQL_ATTR_CONNECTION_POOLING" attribute

*Note that all licence references and agreements mentioned in the QDjango README section above are relevant to that project's source code only.