Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Synthesizer - a code for creating synthetic astrophysical spectra

Python package for the generation and evaluation of synthetic time-series data.

This project allows users to generate synthetic videos from CAD models, including .npy files with additional information. Models are loaded dynamically into a Blender scene, and the camera smoothly moves along spherical points to create the final video.

⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

Plugin for metasyn that prevents data from leaking.

A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Privacy techniques.

Open-source version of the TDspora synthetic data generation algorithm.

Synthetic tree point cloud dataset with ground truth skeletons.

UnrealCV: Connecting Computer Vision to Unreal Engine

BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.

PostgreSQL database anonymization tool

Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

Synthetic Patient Population Simulator

Synthetic data generation for tabular data

Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.

Generative modeling of synthetic time series data and time series augmentations