yellowbrick VS eTriops

Compare yellowbrick vs eTriops and see what are their differences.

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)

eTriops

Virtual Pet project centered around Triops. (by UltraChip)
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yellowbrick eTriops
2 4
4,201 2
0.4% -
2.8 3.0
9 months ago 9 months ago
Python Python
Apache License 2.0 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.

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.

eTriops

Posts with mentions or reviews of eTriops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-05.

What are some alternatives?

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

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

fpdf2 - Simple PDF generation for Python

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

oso - Oso is a batteries-included framework for building authorization in your application.

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

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.

qmplot - A Python package for creating high-quality manhattan and Q-Q plots from GWAS results.

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