Copulas VS CTGAN

Compare Copulas vs CTGAN and see what are their differences.

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Copulas CTGAN
1 2
505 1,140
1.4% 2.0%
8.1 8.5
6 days ago 6 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.

CTGAN

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

What are some alternatives?

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

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

SDV - Synthetic data generation for tabular data

Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.

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

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

FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

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

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

SDGym - Benchmarking synthetic data generation methods.