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  • Vinta Chen
  • awesome-python
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  • !2080

Add link to graph-tool

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Open Administrator requested to merge github/fork/count0/patch-1 into master 3 years ago
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Created by: count0

What is this Python project?

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks).

What's the difference between this Python project and similar ones?

Contrary to most other Python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.

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@@ -1029,6 +1029,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
* [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
* [graph-tool](https://graph-tool.skewed.de/) - Efficient manipulation, visualization and statistical analysis of graphs and networks.
* [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data.
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
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Reference: vinta/awesome-python!2080
Source branch: github/fork/count0/patch-1

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