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NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Category
Data Analysis Software Free
Features
• Many standard graph algorithms • Edges can hold arbitrary data • Network structures and analysis measures • Data structures for graphs, digraphs, and multigraphs • Generators for classic graphs, random graphs and synthetic networks
License
Proprietary
Price
Contact for Pricing
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
• Many standard graph algorithms • Edges can hold arbitrary data • Network structures and analysis measures • Data structures for graphs, digraphs, and multigraphs
What are the benefits?
• Enables creation of complex networks • Enables manipulation of complex networks • Enables study of structure of complex networks • Enables study of functions and dynamics of complex networks • Provides analysis measures for complex networks
PAT Rating™
Editor Rating
Aggregated User Rating
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Ease of use
7.6
7.3
Features & Functionality
7.6
8.4
Advanced Features
7.6
8.8
Integration
7.6
7.9
Performance
7.6
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Customer Support
7.6
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Implementation
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Renew & Recommend
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Bottom Line
NetworkX is an open source software used for analyzing complex networks and uses Python language for creating, manipulating, and study of the functions, structures, and dynamics of the networks that are complex.
7.6
Editor Rating
8.1
Aggregated User Rating
3 ratings
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NetworkX is a software package in Python language used in creating, manipulating, and study of the functions, structures, and dynamics of the networks that are complex.
NetworkX is simply a software ideal for analyzing complex networks. NetworkX enables results to be presented in a unique and graphical way. The data structures are present for graphs, multigraphs, and digraphs. Since NetworkX is a Python package it facilitates fast prototyping and provides an easy to teach and multi-platform.
Data scientists are also provided with several standard graph algorithms that are useful when dealing with complex networks. NetworkX also features generators. The generators are used to generate random graphs, classic graphs and synthetic networks. The nodes provided by NetworkX are ideal as the cover entirely anything in the complex networks. That ranges from text, images and even XML records.
NetworkX also provides the edges. The edges are ideal to data scientist as they can hold arbitrary data such as time series and weights in the complex networks. Since NetworkX is an open source software, it is therefore comes with a 3-clause BSD license.
This portrays its genuineness and originality as a Python package for analyzing complex networks. NetworkX also features the API changes that enable data scientists not to import the nx_agraph and nx_pydot. All this can be accessed within the NetworkX package. Users are also enabled to set up an appveyor that automatically tests installation on Windows machines. By setting up the appveyor, data scientists are able to remove all symbolic links available in examples to help in installation of Windows machine.
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