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Top 23 Networkx Open-Source Projects
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osmnx
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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awesome-community-detection
A curated list of community detection research papers with implementations.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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kglab
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
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ustore
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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agentpy
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
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gqlalchemy
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
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ScaffoldGraph
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
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grand
Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.
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networkx-guide
We here are very big fans of NetworkX as a graph library and its comprehensive set of graph algorithms. For many though, working with NetworkX involves a steep learning curve. This guide is designed as an aid for beginners and experienced users to find specific tips and explore the world of complex networks.
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YassQueenDB
Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀
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Project mention: I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic. | /r/india | 2023-07-13
Extra fun: We find most enterprise/gov graph analytics work only requires 1-2 attributes to go along with the graph index, and those attributes often are already numeric (time, $, ...) or can be dictionary-encoded as discussed here (categorical, ID, ...)... so even 'tough' billion scale graphs are fine on 1 gpu.
Early, but that's been the basic thinking into our new GFQL system: slice into the columns you want, and then do all the in-GPU traversals you want. In our V1, we keep things dataframe-native include the in-GPU data representation, and are already working on the first extensions to support switching to more graph-native indexing for steps as needed.
Ex: https://github.com/graphistry/pygraphistry/blob/master/demos...
You may like my Netgraph library [1], which is a Python library that aims to complement networkx, igraph, and graph-tool with publication-quality visualisations.
Netgraph implements numerous node layout algorithms and several edge routing routines. Uniquely among Python alternatives, it handles networks with multiple components gracefully (which otherwise break most node layout routines), and it post-processes the output of the node layout and edge routing algorithms with several heuristics to increase the interpretability of the visualisation (reduction of overlaps between nodes, edges, and labels; edge crossing minimisation and edge unbundling where applicable). The highly customisable plots are created using Matplotlib, and the resulting Matplotlib objects are exposed in an easily queryable format such that they can be further manipulated and/or animated using standard Matplotlib syntax. Finally, Netgraph also supports interactive changes: with the InteractiveGraph class, nodes and edges can be positioned using the mouse, and the EditableGraph class additionally supports insertion and deletion of nodes and edges as well as their (re-)labelling through standard text-entry.
[1] https://github.com/paulbrodersen/netgraph
Project mention: Link Prediction With node2vec in Physics Collaboration Network | dev.to | 2023-06-16As already mentioned, link prediction refers to the task of predicting missing links or links that are likely to occur in the future. In this tutorial, we will make use the of MAGE spell called node2vec. Also, we will use Memgraph to store data, and gqlalchemy to connect from a Python application. The dataset will be similar to the one used in this paper: Graph Embedding Techniques, Applications, and Performance: A Survey.
Project mention: Show HN: In-memory graph "database" with NetworkX and openCypher | news.ycombinator.com | 2023-10-30Cypher is a super useful language for querying graph structures, but sometimes it's overkill to load a tiny graph into Neo4j or memgraph. We wrote this tool to act as an abstraction layer so you can query in-memory graph data -- or, using [Grand](https://github.com/aplbrain/grand), rewrite Cypher queries to run on SQLite dbs or even other graph databases that don't support Cypher out of the box. Hoping it'll be helpful to those in the network theory, graph ML, and data science communities!
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Networkx related posts
- Graph query language for Python-NetworkX
- Search NetworkX graph networks using openCypher queries
- GrandCypher: Implementation of the Cypher language for searching NetworkX graphs
- I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic.
- Planning a straight line across Norwich, the best route I could find just scraped a silver.
- I created an Easy to Use dimensionless vector database. GitHub - nileshkhetrapal/YassQueenDB: Graph database library that allows you to store, analyze, and search through your data in a graph format.📚🧠🚀
- An Easy to use Dimensionless Vector Database
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A note from our sponsor - SaaSHub
www.saashub.com | 28 Apr 2024
Index
What are some of the best open-source Networkx projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | osmnx | 4,663 |
| 2 | awesome-community-detection | 2,266 |
| 3 | karateclub | 2,086 |
| 4 | pygraphistry | 2,055 |
| 5 | netgraph | 642 |
| 6 | kglab | 556 |
| 7 | ustore | 486 |
| 8 | agentpy | 283 |
| 9 | forceatlas2 | 271 |
| 10 | gqlalchemy | 206 |
| 11 | ScaffoldGraph | 158 |
| 12 | dotmotif | 80 |
| 13 | grand | 75 |
| 14 | grand-cypher | 59 |
| 15 | chinese-whispers | 57 |
| 16 | networkx-guide | 31 |
| 17 | networkx.rb | 31 |
| 18 | graphinate | 21 |
| 19 | YassQueenDB | 14 |
| 20 | pymetrix | 12 |
| 21 | udsb | 8 |
| 22 | ZnFlow | 5 |
| 23 | visual-graph-isomorphism | 3 |
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