SDV
TimeSynth
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| SDV | TimeSynth | |
|---|---|---|
| 59 | 1 | |
| 2,117 | 326 | |
| 14.0% | 1.8% | |
| 9.3 | 0.0 | |
| 6 days ago | 6 months ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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
TimeSynth
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What is the best way to generate synthetic OHLC data?
I have the same question so I cant give a direct answer. However, I've been thinking of using SDV and TimeSynth python packages to produce synthetic data for backtesting.
What are some alternatives?
CTGAN - Conditional GAN for generating synthetic tabular data.
tsfresh - Automatic extraction of relevant features from time series:
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
ta - Technical Analysis Library using Pandas and Numpy
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
tempo - API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
stingray - Anything can happen in the next half hour (including spectral timing made easy)!
Copulas - A library to model multivariate data using copulas.
pycaret - An open-source, low-code machine learning library in Python
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai