nist-crc-2023 VS SDV

Compare nist-crc-2023 vs SDV and see what are their differences.

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nist-crc-2023 SDV
7 59
27 2,160
- 3.2%
4.3 9.4
11 months ago 8 days ago
Jupyter Notebook Python
MIT License 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.


Posts with mentions or reviews of nist-crc-2023. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.


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 nist-crc-2023 and SDV you can also consider the following projects:

tdk-demo - This is a collection of TDK demo projects that use different databases and options

CTGAN - Conditional GAN for generating synthetic tabular data.

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

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.

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

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

tsfresh - Automatic extraction of relevant features from time series:

Copulas - A library to model multivariate data using copulas.

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

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