NetworkX¶
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
| Logo |   | 
|---|---|
| Website | |
| Repository | |
| Byline | Network Analysis in Python | 
| License | BSD 3-clause | 
| Project age | 17 years 5 months | 
| Backers | Personal Project (Creator and maintainer) | 
| Lastest News (2022-02-28) | NetworkX 2.7 This release is the result of 7 months of work with over 166 pull requests by 33 contributors. more | 
| Size score (1 to 10, higher is better) | 6.75 | 
| Trend score (1 to 10, higher is better) | 5.25 | 
Education Resources¶
| URL | Resource Type | Description | 
|---|---|---|
| https://networkx.org/documentation/stable/reference/introduction.html | Documentation | Official project documentation. | 
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
| Statistic | Lifetime | Last 12 Months | 
|---|---|---|
| Commits | 50,173 | 4,976 | 
| Lines committed | 12,933,267 | 356,146 | 
| Unique committers | 646 | 94 | 
| Core committers | 4 | 13 | 
 
Similar Projects¶
| Project | Size Score | Trend Score | Byline | 
|---|---|---|---|
| 5.5 | 8.0 | Python package built to ease deep learning on graph, on top of existing DL frameworks. | |
| 5.25 | 2.5 | JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. It runs on Java 2 Platform (requires JDK 11 or later starting with JGraphT 1.5.0). | |
| 2.0 | 6.75 | A Python Library for Graph Outlier Detection (Anomaly Detection) | |
| 3.75 | 9.25 | TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. | |
| 4.75 | 5.0 | A simple abstraction layer in Python for building knowledge graphs | 
