graphs-cpp
QuickQanava
graphs-cpp | QuickQanava | |
---|---|---|
1 | 4 | |
16 | 1,094 | |
- | - | |
1.8 | 8.8 | |
over 3 years ago | about 5 hours ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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graphs-cpp
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Open Source Graph libraries written in modern C++?
This has quite a few graph algorithms for unweighted/weighted graphs/digraphs and flow networks: https://github.com/nspo/graphs-cpp
QuickQanava
- There is framework for everything.
- How can i make something like that in Qt5 ? (drag-drop and connect each other)
- Make a canvas with custom, interactable objects
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Should we add a sticky FAQ post?
This is not how to do it. You do not want to have business logic in qml. For this you can subclass QtQuickItem. https://github.com/cneben/QuickQanava is a good example for this.
What are some alternatives?
parallel-dfs-dag - A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
nodeeditor - Qt Node Editor. Dataflow programming framework
CGal - The public CGAL repository, see the README below
libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇
FunctionalPlus - Functional Programming Library for C++. Write concise and readable C++ code.
vg - tools for working with genome variation graphs
varia
fdg - A Force Directed Graph Drawing Library
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
netsci-labs - (In progress) Network science laboratories. Covers graph theory, random graphs and ML on graphs
Django - The Web framework for perfectionists with deadlines.
NetworkX - Network Analysis in Python