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

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.

A procedural Blender pipeline for photorealistic training image generation

Python Library for Causal and Probabilistic Modeling using Bayesian Networks

Synthetic data generation for tabular data

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

SDG is a specialized framework designed to generate high-quality structured tabular data.

Conditional GAN for generating synthetic tabular data.

Synthetic data curation for post-training and structured data extraction

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

A multi-purpose LLM framework for RAG and data creation.

A library to model multivariate data using copulas.

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Synthetic Data SDK ✨