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NetworkX
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NetworkX

Overview
Synopsis

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 employees), Enterprise (>1001 employees)

Website
Company

NetworkX

What is best ?

• 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

Rating
Our Rating
User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Customer Support
7.6
Performance
7.6
Implementation
Renew & Recommend
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
Our Rating
User Rating
You have rated this

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.

NetworkX
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Ease of use
Features & Functionality
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Integration
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