Copulas VS SDV

Compare Copulas vs SDV and see what are their differences.

Copulas

A library to model multivariate data using copulas. (by sdv-dev)
Machine Learning copulas synthetic-data data-generation synthetic-data-generation generative-ai generative-model tabular-data
Source Code
sdv.dev
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SDV

Synthetic data generation for tabular data (by sdv-dev)
synthetic-data Machine Learning relational-datasets multi-table time-series synthetic-data-generation sdv data-generation generative-adversarial-network Gan Gans Deep Learning generative-ai generative-model generativeai
Source Code
docs.sdv.dev
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Copulas SDV
1 59
505 2,141
1.4% 2.4%
8.1 9.4
2 days ago 5 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.

Copulas

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

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.

What are some alternatives?

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

CTGAN - Conditional GAN for generating synthetic tabular data.

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

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

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

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

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

tsfresh - Automatic extraction of relevant features from time series:

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.

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

Copulas vs CTGAN SDV vs CTGAN Copulas vs Made-With-ML SDV vs gretel-python-client Copulas vs gretel-synthetics SDV vs machine-learning-for-trading Copulas vs ydata-synthetic SDV vs tsfresh Copulas vs gretel-python-client SDV vs TimeSynth Copulas vs genalog SDV vs EigenGAN-Tensorflow