Software Alternatives & Reviews

NetworkX VS JanusGraph

Compare NetworkX VS JanusGraph and see what are their differences

NetworkX logo NetworkX

NetworkX is a Python language software package for the creation, manipulation, and study of the...

JanusGraph logo JanusGraph

JanusGraph is a scalable graph database optimized for storing and querying graphs.
  • NetworkX Landing page
    Landing page //
    2023-09-14
  • JanusGraph Landing page
    Landing page //
    2022-03-29

NetworkX

Categories
  • Graph Databases
  • NoSQL Databases
  • Databases
  • Big Data
Website networkx.org
Details $

JanusGraph

Categories
  • Graph Databases
  • NoSQL Databases
  • Databases
  • Big Data
Website janusgraph.org
Details $

NetworkX videos

Directed Network Analysis - Simulating a Social Network Using Networkx in Python - Tutorial 28

JanusGraph videos

Ted Wilmes on the state of JanusGraph 2018

More videos:

  • Review - Incorporating JanusGraph into your Scylla Ecosystem

Category Popularity

0-100% (relative to NetworkX and JanusGraph)
Graph Databases
47 47%
53% 53
Databases
44 44%
56% 56
NoSQL Databases
43 43%
57% 57
Diagrams
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, NetworkX seems to be a lot more popular than JanusGraph. While we know about 34 links to NetworkX, we've tracked only 2 mentions of JanusGraph. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NetworkX mentions (34)

  • Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
    In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 3 months ago
  • Custom libraries and utility tools for challenges
    If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 4 months ago
  • Google open-sources their graph mining library
    For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 6 months ago
  • org-roam-pygraph: Build a graph of your org-roam collection for use in Python
    Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: 11 months ago
  • Microsoft won't accept my first name.
    Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: 11 months ago
View more

JanusGraph mentions (2)

  • Graph Databases vs Relational Databases: What and why?
    First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
  • QOMPLX: Using Scylla with JanusGraph for Cybersecurity
    QOMPLX partnered with the graph database experts at Expero to implement their system with JanusGraph, which uses Scylla as an underlying fast and scalable storage layer. We had the privilege to learn from their use case at Scylla Summit this January, which we share with you today. Source: about 3 years ago

What are some alternatives?

When comparing NetworkX and JanusGraph, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

RedisGraph - A high-performance graph database implemented as a Redis module.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Apache TinkerPop - Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

Graphviz - Graphviz is open source graph visualization software. It has several main graph layout programs.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.