QuickQanava VS OpenCV

Compare QuickQanava vs OpenCV and see what are their differences.

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QuickQanava OpenCV
4 196
1,071 75,423
- 1.4%
8.9 9.9
22 days ago 5 days ago
C++ C++
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

QuickQanava

Posts with mentions or reviews of QuickQanava. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-04.

OpenCV

Posts with mentions or reviews of OpenCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing QuickQanava and OpenCV you can also consider the following projects:

nodeeditor - Qt Node Editor. Dataflow programming framework

libvips - A fast image processing library with low memory needs.

libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇

VTK - Mirror of Visualization Toolkit repository

vg - tools for working with genome variation graphs

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

fdg - A Force Directed Graph Drawing Library

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

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

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

netsci-labs - (In progress) Network science laboratories. Covers graph theory, random graphs and ML on graphs

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80