qmplot VS yellowbrick

Compare qmplot vs yellowbrick and see what are their differences.

qmplot

A Python package for creating high-quality manhattan and Q-Q plots from GWAS results. (by ShujiaHuang)

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
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qmplot yellowbrick
2 2
33 4,198
- 0.3%
4.9 2.8
4 months ago 9 months ago
Python Python
GNU General Public License v3.0 only 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.

qmplot

Posts with mentions or reviews of qmplot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.

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 qmplot and yellowbrick you can also consider the following projects:

seaborn - Statistical data visualization in Python

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

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

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

fpdf2 - Simple PDF generation for Python

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

sports-betting - Collection of sports betting AI tools.

dagster-sklearn - dagster scikit-learn pipeline example.

raiven - A framework for the translation of AI tools to the radiology environment

giotto-tda - A high-performance topological machine learning toolbox in Python

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.