Graph Engine VS Erdos

Compare Graph Engine vs Erdos and see what are their differences.

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Graph Engine Erdos
0 0
2,171 125
0.7% 0.0%
6.6 4.2
3 months ago 7 months ago
C# Java
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Graph Engine

Posts with mentions or reviews of Graph Engine. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Graph Engine yet.
Tracking mentions began in Dec 2020.

Erdos

Posts with mentions or reviews of Erdos. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Erdos yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Graph Engine and Erdos you can also consider the following projects:

JGraphT - Master repository for the JGraphT project

JUNG - JUNG: Java Universal Network/Graph Framework

GraphStream - Graphstream core

PCLExt.FileStorage - Portable Storage APIs

Tablesaw - Java dataframe and visualization library

Morpheus - The foundational library of the Morpheus data science framework

JGraphX

Mines Java Toolkit - The Mines Java Toolkit

dijkstra-simple - A simpler Dijkstra shortest paths implementation

FXGraphAlgorithmSimulator - Visualizes specific Graph Algorithms like BFS, DFS, MST etc. on interactive user input graphs.

AlgoDS - Implementation of Algorithms and Data Structures, Problems and Solutions

Visualizador-de-Grafos-y-Algoritmos - Aplicación gráfica de escritorio hecha con Java Swing que permite visualizar grafos ponderados no dirigidos y aplicar algoritmos.