SynthTS – Open-source CLI for generating privacy-safe synthetic time-series (github.com)

A new open-source tool called "synthts" has been launched, allowing developers to generate realistic, privacy-safe synthetic time-series data locally with just one command. This command-line interface (CLI) is built on TimeGAN technology from ydata-synthetic and is tailored for applications in fraud detection, IoT, forecasting, and CI/CD pipelines. The tool ensures that the generated data maintains vital statistics, trends, and autocorrelation similar to the original dataset, while avoiding potential data leaks since it operates fully offline. This development is significant for the AI/ML community as it provides a practical solution for testing machine learning models without compromising sensitive data privacy. The ability to work with both numeric and categorical columns further enhances its utility across various industries. By making synthetic data generation accessible and efficient, "synthts" empowers developers to build robust models while adhering to privacy regulations, promoting innovative approaches to data utilization in a secure manner.