Research about similarities and differences in NetworkX and AGE

[rrrokhtar]

Hey I have created a shallow comparison, I hope it is a good starting point and an explanation to the ISSUE topic

On	AGE	NetworkX
Defination	a PostgreSQL extension that provides graph database functionality	a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks
Graph visualization	extended through age-viewer	built-in the package
Built in graph algorithms support	NO	YES
In side of DB	YES	NO
Hybrid query support	YES	NO
Language dependent	NO	YES
Open source	YES	YES
Github stars	1.5k	12k
Github	https://github.com/apache/age	https://github.com/networkx/networkx

[Huzaiifaaaa]

Hey, Both of these are open source & are used for data visualization. NetworkX is python library focusing on network analysis via graphs. You can use this library to create network of your choice, also it has built-in graph algorithms. On the other hand AGE is specific for attributed graphs, i.e., a specific weight or property is assigned to each node. NetworkX is comparatively better, but AGE can also be used(depending upon your requirements).

[kenwoon]

NetworkX and Apache Age are both open-source graph analysis libraries that can be used to analyze and manipulate graph data, but they differ in their specific features and intended use cases.

NetworkX is a Python package for the creation, manipulation, and study of complex networks. It provides a set of tools for working with graphs, including algorithms for analyzing network structure, tools for visualizing networks, and functions for generating random graphs. NetworkX is widely used in scientific research, social network analysis, and network-based machine learning applications.

On the other hand, Apache Age is a distributed graph database and computation engine that can be used for large-scale graph analysis. It provides a graph query language and supports multiple graph processing frameworks. Apache Age is designed for handling large and complex graphs and can perform graph analytics at scale.

Other technical differences include:

• NetworkX stores graphs in memory, which means that it is limited by the amount of memory available on a single machine. Apache Age, on the other hand, stores graphs in a distributed manner, allowing it to handle much larger graphs by spreading the data across multiple machines.
• NetworkX processes graphs in a single-threaded manner, meaning that it can only use one CPU core to perform computations. Apache Age, on the other hand, can use multiple CPU cores to perform parallel computations on large graphs, resulting in faster processing times.
• Apache Age provides a graph query language written in SQL and Cypher, which allows users to express complex graph queries in a declarative manner. NetworkX does not have a query language, and users must write Python code to perform graph queries.
• Because NetworkX is limited by the amount of memory available on a single machine, it may struggle to handle very large graphs. Apache Age is designed to handle large-scale graphs by distributing the data across multiple machines, making it more scalable for big data applications.

[M4rcxs]

Similarities

• Both projects are open source and have a large community (Apache AGE is in growing process) helping the development of the project.
• Classes are named using CamelCase (capital letters at the start of each word). Functions, methods and variable names are lower_case_underscore (lowercase with an underscore representing a space between words).
• Both Projects are easy to install, in python you can do this by pip install [project name].
• Improving tools for the study of social, biological, and infrastructure graphs in terms of their structure and dynamics.

Differences

APACHE AGE

• Don't have language dependence.
• Supports parallel processing and distributed computing.
• Enterprise-level applications.
• Uses PostgreSQL as backend.

NetworkX

• Research and academic purposes.
• Lower for large-scale graphs.
• More flexible for graph operations.
• Supports a wide range of Graphs.

References:

• NetworkX
• Apache AGE

[moiz697]

It's worth noting that NetworkX has been around for over a decade and has a large community of developers and users who contribute to its ongoing development and support. This means that there are many tutorials, examples, and documentation available to help new users get started and troubleshoot any issues they may encounter.

On the other hand, Apache Age is a newer package that is still in active development, and its user community is still growing. This means that while it may not have as many resources available as NetworkX, it has the potential to develop into a powerful and widely-used tool for graph analysis.

Overall, both packages have their strengths and weaknesses, and the choice of which to use will depend on the specific needs of the user and the nature of the graph data being analyzed. It's worth considering factors such as the size of the graph, the types of analysis being performed, and the level of parallel processing required when choosing between these two packages

[Nimra-1234]

Both NetworkX and AGE are tools for working with graphs, but their approaches to graph processing and analysis vary. Here is the comparison:

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Parameters | Age | NetworkX -- | -- | -- Open Source | Yes | Yes Accept Variety of Graphs(directed, undirected, weighted or unweighted and etc.) | Yes(support directed graphs) | Yes Provide tools and methods for graph processing and analysis. | Yes | Yes Python Library | No | Yes Graph Database | Yes | No Supports SQL query | Yes | No Working with smaller graphs | No | Yes Handle structure and unstructured data | No(only unstructured data) | Yes

[JoshInnis]

AGE can handle unstructured data, if it is a property value. the relational between a vertex and a node is hard coded, but the properties both a node and edge are not by default enforced... ie. there is no schema.

[JoshInnis]

AGE and OpenCypher only support directed graphs

[Nimra-1234]

AGE and OpenCypher only support directed graphs

Thank you.

[im-aditya30]

NetworkX is a python package, which focuses on the study of complex networks using graphs and is mainly used for analysis. Its nodes can be any object that is hashable, meaning that its value never changes. These can be text strings, images, XML objects, entire graphs, and customized nodes.

AGE on the other hand uses query written in SQL and Cypher and provides graph database functionality, which means to provide graph data processing and analytics capability to all relational databases. It also provides access to graph query modeling within the existing relational database.

[safi50]

Hi! I am Syed Safi Ullah. Looking forward to contributing to this project.

[titoausten]

Some similarities between Apache AGE and NetworkX are as follows:

• They are both Open Source
• They are also used for Graph analysis

The differences include:

• Language: NetworkX is written in Python, while Apache AGE is an extension of PostgreSQL and supports SQL and Cypher query languages.
• Database integration: Apache AGE is designed to be integrated with a PostgreSQL database, while NetworkX does not include built-in database integration.
• Performance: AGE can handle large-scale graph data with ease while NetworkX is designed for smaller datasets that can be loaded into memory.
• Integration: AGE can be integrated with a variety of other tools and technologies, including Apache Spark, Apache Flink, and Apache Kafka. NetworkX can be easily integrated with other Python libraries, including NumPy and SciPy.
• Visualization: Graph can be viewed using AGE Viewer for AGE and Matplotlib for NetworkX.

[hammadsaleemm]

Here are some key similarities and differences between NetworkX and AGE:

Similarities:

• Both NetworkX and AGE provide Python APIs for working with graph data.
• Both libraries provide support for a wide range of graph types, including directed and undirected graphs, multigraphs, and bipartite graphs.
• Both libraries offer a variety of graph algorithms and functions for graph manipulation, analysis, and visualization.

Differences:

• NetworkX is a standalone Python library, while AGE is an extension of PostgreSQL.
• AGE provides a graph database management system, while NetworkX does not provide a database management system.
• NetworkX is optimized for working with small to medium-sized graphs that can fit into memory, while AGE is designed for working with large-scale graph data that requires a database management system.
• AGE supports the Cypher query language, which is a popular language used in Neo4j, while NetworkX does not support Cypher.
• AGE provides an integrated solution for combining graph and relational data, while NetworkX is primarily focused on graph data.

In summary, while both NetworkX and AGE provide functionality for working with graph data, they differ in their focus and use cases. NetworkX is a general-purpose library for creating, manipulating, and analyzing graphs and networks, while AGE is a graph database management system that is fully integrated with PostgreSQL and supports the Cypher query language.

[safi50]

NetworkX

• NetworkX is a Python library for creating, manipulating, and analyzing complex networks (graphs). It is primarily designed for in-memory graph processing.
• NetworkX represents graphs as Python objects (using dictionaries and lists) and provides a wide range of graph algorithms for analysis.
• NetworkX supports various graph types, including directed, undirected, multi-edge, and self-loop graphs.
• NetworkX is well-suited for small to medium-sized graphs that can fit in the memory.

Apache AGE

• AGE is built on top of PostgreSQL and works as an extension. It implements the openCypher query language for graph querying and manipulation.
• Can only be used in directed graphs.
• AGE is well-suited for large-scale graphs thanks to its distributed nature.

[DavidGMdev]

Similarities :

• Both are open-source projects
• Both are Graph-oriented ( Graph analysis / visualization )
• Both provides python end-points to work with graphs

1. AGE or Advanced Graph Extension

• written in C language
• it's a PostgreSQL extension
• works on top of PostgreSQL not a fork from it.
• used to provide multi-modal behavior on an already existing relational database.
• aim to allow making use of the graph model features on this relational database.
• it allows hybrid queries, which is Cypher inside SQL, or a SQL inside Cypher.
• doesn't directly allow visualization but with its helper age-viewer it support visualization
• we can implement custom graph algorithms to use ( no built-in supported )

2. NetworkX :

• written in python language
• it's a Python package
• used for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
• used for graph analysis and visualization
• support multiple graph algorithms ( built-in )

References :

• AGE
• NetworkX

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