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NetworkX Alternatives
Similar projects and alternatives to NetworkX
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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Apache AGE
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. (by apache)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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graph
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
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Interactive Parallel Computing with IPython
IPython Parallel: Interactive Parallel Computing in Python
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better NetworkX alternative or higher similarity.
NetworkX discussion
NetworkX reviews and mentions
Posts with mentions or reviews of NetworkX.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-02-17.
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Representing Graphs in PostgreSQL
If you are interested in the subject, also take a look at NetworkDisk[1] which enable users of NetworkX[2] which maps graphs to databases.
[1] https://networkdisk.inria.fr/
[2] https://networkx.org/
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Routes to LANL from 186 sites on the Internet
Built from this data... https://github.com/networkx/networkx/blob/main/examples/grap...
- The Hunt for the Missing Data Type
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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.
- NetworkX – Network Analysis in Python
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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.
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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) -- https://docs.rapids.ai/api/cugraph/stable/
* PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/
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1: https://docs.arangodb.com/3.11/data-science/adapters/
2: https://github.com/arangodb/interactive_tutorials#machine-le...
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A note from our sponsor - CodeRabbit
coderabbit.ai | 19 Mar 2025
Stats
Basic NetworkX repo stats
62
15,489
9.5
6 days ago
networkx/networkx is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of NetworkX is Python.
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