What is NetworkX package in Python?
NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. It is used to study large complex networks represented in form of graphs with nodes and edges.
How do I install a NetworkX module in Python?
Installing from source
- Download the source (tar. gz or zip file).
- Unpack and change directory to networkx-“version”
- Run “python setup.py install” to build and install.
- (optional) Run “python setup_egg.py nosetests” to execute the tests.
How do I know if I have NetworkX installed?
You can test any or all of NetworkX by using the “nosetests” test runner. First make sure the NetworkX version you want to test is in your PYTHONPATH (either installed or pointing to your unpacked source directory).
How do I update my NetworkX?
Install the current release of networkx with pip :
- $ pip install networkx[default]
- $ pip install –upgrade networkx[default]
- $ pip install –user networkx[default]
- $ pip install networkx.
- $ pip install .[default]
Is Networkx a standard library?
NetworkX is free software released under the BSD-new license….NetworkX.
| A graph created with NetworkX | |
|---|---|
| Original author(s) | Aric Hagberg Pieter Swart Dan Schult |
| Type | Software library |
| License | BSD-new license |
| Website | networkx.github.io |
Is Networkx open source?
NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license….NetworkX.
| A graph created with NetworkX | |
|---|---|
| Original author(s) | Aric Hagberg Pieter Swart Dan Schult |
| Type | Software library |
| License | BSD-new license |
| Website | networkx.github.io |
Which is better Igraph or NetworkX?
NetworkX is pure Python, well documented and handles changes to the network gracefully. iGraph is more performant in terms of speed and ram usage but less flexible for dynamic networks. iGraph is a C library with very smart indexing and storage approaches so you can load pretty large graphs in ram.
Is NetworkX slow?
Networkx is much slower than any of the other libraries. Across all computation tasks and for all datasets it is around 10 times slower than the slowest library. For example, it took 67s to run the single source shortest path problem on the Pokec dataset compared to 6.8s for networkit (the next slowest).
Is Igraph faster than NetworkX?
When networkit is fast, it is extremely fast. On the pokec dataset it takes just 0.2s to run the page rank algorithm (graph-tool: 1.7s, igraph: 59.6s, snap: 19.5s). For the k-core decomposition it is also 10 times faster than all other competitors or 2000 times networkx.
Is NetworkX safe?
Is networkx safe to use? The python package networkx was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use.