Data Generation Python Packages

hypothesis-graphql

Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.

dbldatagen

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

copulas

A library to model multivariate data using copulas.

sdv

Synthetic data generation for tabular data

ctgan

Conditional GAN for generating synthetic tabular data.

deepecho

Synthetic Data Generation for mixed-type, multivariate time series.

misata

High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.

be-great

A novel approach for synthesizing tabular data using pretrained large language models

realtabformer

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

sqllocks-spindle

Multi-domain, schema-aware synthetic data generator for Microsoft Fabric. 13 domains, billion-row scale, statistically calibrated. Lakehouse · Warehouse · SQL DB · Eventhouse writers.

great-generator

Generate realistic Synthetic enterprise data for Spark, Pandas, testing, demos, benchmarking, learning, and research.

rowsmyth

Forged test data for SQLAlchemy models - no boilerplate required.

signalz

Synthetic data generators in Python

s2generator

A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations.

autosynth

Agentic synthetic-data generation framework inspired by Meta FAIR's Autodata / Agentic Self-Instruct.

eventum-generator

Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk

embodichain

An end-to-end, GPU-accelerated, and modular platform for building generalized Embodied Intelligence.

syda

AI-powered synthetic data generation — structured tables, unstructured documents, multi-provider LLM support, referential integrity, and code-gen mode for millions of rows

hypervector-wrapper

Python wrapper to use the Hypervector API. Better data tests

insurance-datasets

Synthetic UK insurance datasets with known data generating processes

anonipy

The data anonymization package

fauxdata-cli

CLI to generate and validate realistic fake datasets from YAML schemas — locale-aware, pipeline-friendly, powered by pointblank

fakestack

High-performance database generator with realistic fake data — Go core with Python and Node.js zero-dependency wrappers

mmcif-gen

This application is designed to create mmcif files from facilities data.