kmodes VS yellowbrick

Compare kmodes vs yellowbrick and see what are their differences.

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data (by nicodv)
Python clustering-algorithm k-modes k-prototypes scikit-learn
Source Code
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yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
Machine Learning visual-analysis model-selection Visualization scikit-learn Visualizer Matplotlib Python estimator Anaconda
Source Code
scikit-yb.org
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kmodes yellowbrick
2 2
1,218 4,198
- 0.8%
4.9 2.8
3 months ago 9 months ago
Python Python
MIT License Apache License 2.0
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.

yellowbrick

Posts with mentions or reviews of yellowbrick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

What are some alternatives?

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

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

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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.

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

Dask - Parallel computing with task scheduling

seaborn-image - High-level API for attractive and descriptive image visualization in Python

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

fpdf2 - Simple PDF generation for Python

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

scikit-survival - Survival analysis built on top of scikit-learn

leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

sports-betting - Collection of sports betting AI tools.

kmodes vs best-of-ml-python yellowbrick vs Anaconda kmodes vs data-science-ipython-notebooks yellowbrick vs itermplot kmodes vs Dask yellowbrick vs seaborn-image kmodes vs MinSizeKmeans yellowbrick vs fpdf2 kmodes vs orange yellowbrick vs scikit-survival kmodes vs leidenalg yellowbrick vs sports-betting