SDV VS Copulas

Compare SDV vs Copulas and see what are their differences.

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SDV Copulas
59 1
2,117 501
14.0% 2.6%
9.3 7.3
4 days ago 7 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

Copulas

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

What are some alternatives?

When comparing SDV and Copulas you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.

tsfresh - Automatic extraction of relevant features from time series:

ydata-synthetic - Synthetic data generators for tabular and time-series data

EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.