Synthetic Data Python Packages

mimesis

Mimesis is a fast Python library for generating fake data in multiple languages.

pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

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

sdmetrics

Metrics to evaluate quality and efficacy of synthetic datasets.

ctgan

Conditional GAN for generating synthetic tabular data.

deepecho

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

unrealcv

UnrealCV: Connecting Computer Vision to Unreal Engine

privateai-client

A python client used to interact with the Private AI's API

bespokelabs-curator

Synthetic data curation for post-training and structured data extraction

faker-file

Create files with fake data. In many formats. With no efforts.

augraphy

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

misata

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

mostlyai

Synthetic Data SDK ✨

ydata-synthetic

Synthetic data generators for tabular and time-series data

syngen

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

agentsynth-ai

Outcome-verified agent trajectories, benchmarks, and RL environments — with a live leaderboard and a CI gate for your agents. Offline-first, MIT.

smogn

Synthetic Minority Over-Sampling Technique for Regression

lightningrod-ai

Better AI Predictions ⚡

table-evaluator

Evaluate real and synthetic datasets against each other

mostlyai-engine

Synthetic Data Engine 💎

blenderproc

A procedural Blender pipeline for photorealistic training image generation

be-great

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