Overview | Dependencies | Building | Roadmap | License

(Linux / g++6 / Qt5.12.1 - OSX / Clang 8.1 / Qt 5.12.1 CMake)

(Windows / MSVC 2015 x64 / Qt5.10.1 / qmake)

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There is quite a lot of traffic and clones actually: Please remember to star the project and reports bugs....

• CHANGELOG.md

QuickQanava is a C++14 library designed to display graphs and relational content in a Qt/QML application. QuickQanava provide QML components and C++ classes to visualize medium-sized directed graphs in a C++/QML application. QuickQanava focus on displaying relational content into a dynamic user interface with DnD support, resizable content and visual creation of topology. More advanced layouts algorithms might be integrated in future versions.

QuickQanava main repository is hosted on GitHub: http://cneben.github.io/QuickQanava/index.html

QuickQanava is primarily developed for Linux with Qt 5.15 with MSVC2017 and g++7.5 (minimal required Qt version is Qt 5.10, recommended is Qt 5.14.2)

• Project homepage: http://cneben.github.io/QuickQanava/index.html

• Installation

• Graph Data Model

  • Ports and Docks
  • Visual node connection
  • Selection
  • Groups

• Styling

• Advanced use, custom topology

For any questions, please contact: benoit@destrat.io

QuickQanava focus on writing content delegates in QML (even if they could be 100% defined in C++, a QML engine is still necessary in the background).

Edges

Nodes

• User Doc: QuickStart - Custom Nodes

Visual Connector

• User Doc: QuickStart - Visual Connector
• Reference documentation: qan::Connector interface and Qan.VisualConnector component

Groups

• User Doc: QuickStart - Using Groups

Styles

• User Doc: QuickStart - Using Styles

• Qt 5.10 is mandatory for Qt Quick Shapes support.
• Google Test is a GTpo dependency, it is optional for QuickQanava until you intent to use a graph with custom non-STL/non-Qt containers:

Get the latest QuickQanava sources:

git clone https://github.com/cneben/QuickQanava
cd QuickQanava

Or install as a Git submodule:

$ git submodule add https://github.com/cneben/QuickQanava
$ git submodule update

QuickQanava could be used with either qmake or CMake build configuration system.

Using qmake (preferred and supported way of integrating QuickQanava):

1. Open quickqanava.pro in QtCreator.

2. Select a kit, build and launch samples.

⚠️ CMake support is "community maintained"

or with (CMake >= 3.5) and Qt Creator:

1. Open CMakeLists.txt in QtCreator.

2. In 'Projects' panel, set DBUILD_SAMPLES option to true in CMake configuration panel.

3. Select a kit, build and launch samples.

Or manually in command line using CMake:

$ cd QuickQanava
$ mkdir build
$ cd build

# IF QT_DIR IS CONFIGURED AND QMAKE IN PATH
$ cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SAMPLES=TRUE -DBUILD_STATIC_QRC=TRUE ..

# IF QT DIR IS NOT CONFIGURED, CONFIGURE KIT MANUALLY
$ cmake -DCMAKE_PREFIX_PATH="/home/b/Qt/5.11.0/gcc_64" -DQT_QMAKE_EXECUTABLE="/home/b/Qt/5.11.0/gcc_64/bin/qmake"  -DBUILD_SAMPLES=TRUE -DBUILD_STATIC_QRC=TRUE ../QuickQanava/

$ cmake --build .
# Then run the samples in ./samples

# Eventually make install

Detailed instructions: Installation

Note that a previously installed "QML plugin" version of QuickQanava might interfere with a fully static build using direct .pri inclusion. Typical error message looks like:

QQmlApplicationEngine failed to load component
qrc:/nodes.qml:33 module "QuickQanava" plugin "quickqanavaplugin" not found

QuickQanava and QuickContainers plugins directories could be removed manually from $QTDIR\..\qml to fix the problem (ex: rm -rf '~/Qt/5.11.1/gcc_64/qml/QuickQanava').

• Done:
  • Add full support for groups inside group (ie subgraphs).
  • Fix qan::LineGrid bugs
• Todo:
  • Rewrite CMake configuration, add install step, use QML plugins.
  • Update geometry creation interface and delegate management.
  • Add support for direct visual dragging of port items.
  • Add "snap to grid" support.
• v1.: Advanced edge visualization
  • Add better support for graph fine grained locking strategies.
  • Add simple layout algorithms (force directed, tree).
  • Publish the 4k sample (40k is probably too much for QML without dedicated culling and LOD code).

• @kwallner / Conan.io and CMake configuration
• @Letrab / Edge configuration
• @machinekoder / QML plugin and CMake configuration
• @NielsBillen / Ports support and stability fixes

Copyright (c) 2017-2020 BA