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Communities Alternatives
Similar projects and alternatives to communities based on common topics and language
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graphtage
A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.
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pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
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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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leidenalg
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
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libmaths
A Python library created to assist programmers with complex mathematical functions
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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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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.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better communities alternative or higher similarity.
communities reviews and mentions
Posts with mentions or reviews of communities.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-22.
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I made a graph neural network specifically for graphs with community structure
I made a tool for plotting graphs with community structure. You can check it out here.
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[OC] Algorithmically organizing a social network into cliques
A few people are asking what this is a visualization of. OP's graphs look very similar to an example of the Louvain Method shown in the library's documentation. The Louvain Method is a community detection algorithm used on network graphs. It works by iteratively optimizing modularity of the graph. Modularity is a measure of the density of the number of edges (lines between nodes) that fall within a given group/cluster compared to what would be expected from a random distribution of edges throughout the graph.
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Algorithmically organizing a social network into cliques
I made this visualization with: https://github.com/shobrook/communities
- I made Communities: a library of clustering algorithms for network graphs (link in comments)
- [P] I made Communities: a library of clustering algorithms for network graphs (link in comments)
- I made a library for organizing social networks into cliques (link in comments)
- [P] I made communities: a library for detecting and visualizing clusters in network graphs (link in comments)
- I made 'communities' – a library of clustering algorithms for graphs
- I made 'communities' – a library for detecting communities in graphs, built on numpy
- [Project] I made a lightweight Python library for graph clustering
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Stats
Basic communities repo stats
12
695
4.0
6 months ago
shobrook/communities is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of communities is Python.
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