C++ Faker library for generating fake (but realistic) data.

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

🦖 Efficiently evolve your old fixed-length data files into more modern file formats, fully parallelized!

A library to model multivariate data using copulas.

Synthetic data generation for tabular data

A toolkit for test data generation

Snaplet Documentation

Random data generator based on JSON schemas

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

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

GRADE evaluation and processing scripts

Test data management tool for any data source, batch or real-time

Example API implementation for Data Caterer

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

☕️🎵 A Music-Centric social network database development

An R package for simulating data

Data generation and property-based testing for Elixir. 🔮

A command line tool for extracting machine learning ready data from software binaries powered by Radare2

Generate strings that match a given regular expression

📊 Assistive data generating, organization and analysis tool.