Software Alternatives & Reviews

NetworkX VS Apache TinkerPop

Compare NetworkX VS Apache TinkerPop and see what are their differences

NetworkX logo NetworkX

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

Apache TinkerPop logo Apache TinkerPop

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).
  • NetworkX Landing page
    Landing page //
    2023-09-14
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24

NetworkX videos

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

Apache TinkerPop videos

No Apache TinkerPop videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NetworkX and Apache TinkerPop)
Graph Databases
59 59%
41% 41
NoSQL Databases
52 52%
48% 48
Databases
56 56%
44% 44
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 Apache TinkerPop. While we know about 34 links to NetworkX, we've tracked only 3 mentions of Apache TinkerPop. 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 / 4 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: 5 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 / 7 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: 12 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: 12 months ago
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Apache TinkerPop mentions (3)

  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / about 2 months ago
  • Getting Started with Redis and RedisGraph
    Property Graph, mainly represented as node and relationship in which they can have properties. The database for this kind of data is usually called Graph Database. Gremlin - by TinkerPop project and Cypher - by Neo4J are their query language (also AQL - Arango Query Language - by ArangoDB, but AQL does not only provides graph query language). - Source: dev.to / over 2 years ago
  • Should You Invent a New Query Language? (Probably Not)
    The most common graph query language at the moment would be Gremlin, which is part of the Apache TinkePop graph computing framework. It is simple to write, easy to learn, and widely supported by many graph databases and even non-graph databases that can emulate graph queries. On the other hand, it can be verbose for long queries but generally works well for both OLTP and analysis work. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing NetworkX and Apache TinkerPop, 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.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

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

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

GrapheneDB - Graph databases as-a-service