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SDV reviews and mentions
What is the best way to generate synthetic OHLC data?
2 projects | reddit.com/r/algotrading | 7 May 2021
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.
Show HN: Augmenting tabular data with SDV to improve ML results
2 projects | news.ycombinator.com | 12 Feb 2021
For those wanting to learn more about it, SDV can be found here: https://github.com/sdv-dev/SDV
SDV (The Synthetic Data Vault) is an ecosystem of Open Source Python libraries and tools for Synthetic Data Generation that works with single-table, multi-table and time-series data. One of the use cases of Synthetic Data is data augmentation for machine learning models, as shown in the example posted, but it also enables a multitude of other use cases such as privacy preserving methods for sharing data or the generation of data for software testing. More resources, tutorials and documentation can be also found here: https://sdv.dev
sdv-dev/SDV is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.