kmodes vs leidenalg

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data (by nicodv)

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leidenalg

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python. (by vtraag)

community-detection clustering-algorithm

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kmodes		leidenalg
	Project
2	Mentions	1
1,218	Stars	542
-	Growth	-
4.9	Activity	8.0
3 months ago	Latest Commit	about 1 month ago
Python	Language	Python
MIT License	License	GNU General Public License v3.0 only

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

kmodes

Posts with mentions or reviews of kmodes. We have used some of these posts to build our list of alternatives and similar projects.

kmodes, Python package for categorical clustering releases version 0.12.0. Now with sample weighting and Python 3.10 support.
1 project | /r/datascience | 30 Mar 2022
How much of data science is lying?
1 project | /r/datascience | 30 Jan 2021

They were probably looking for K-modes

leidenalg

Posts with mentions or reviews of leidenalg. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.

[OC] An interactive map of reddit built from 330 million user comments. 2023 update
3 projects | /r/dataisbeautiful | 17 Apr 2023

- iGraph with Leidenalg uses C++ and exposes an interface to python

What are some alternatives?

When comparing kmodes and leidenalg you can also consider the following projects:

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

hdbscan - A high performance implementation of HDBSCAN clustering.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

communities - Library of community detection algorithms and visualization tools

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

HybridRenderingEngine - Clustered Forward/Deferred renderer with Physically Based Shading, Image Based Lighting and a whole lot of OpenGL.

Dask - Parallel computing with task scheduling

fuzzy-c-means - A simple python implementation of Fuzzy C-means algorithm.

MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)

Algorithms - Collection of algorithms in multiple programming languages.

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)