SDV
gretel-python-client
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SDV | gretel-python-client | |
---|---|---|
59 | 3 | |
2,117 | 43 | |
14.0% | - | |
9.3 | 9.2 | |
6 days ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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
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Synthetic data generation for tabular data
Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
- SDV: NEW Data - star count:1441.0
- FLaNK Stack Weekly for 30 April 2023
- SDV: NEW Data - star count:1196.0
gretel-python-client
What are some alternatives?
CTGAN - Conditional GAN for generating synthetic tabular data.
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.
Copulas - A library to model multivariate data using copulas.
tsfresh - Automatic extraction of relevant features from time series:
ydata-synthetic - Synthetic data generators for tabular and time-series data
ReTube - ReImagine Tubing
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
isp-data-pollution - ISP Data Pollution to Protect Private Browsing History with Obfuscation
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
Differential-Privacy-Guide - Differential Privacy Guide