synthetic-data-generation 开源项目推荐（198 个）

nucleuscloud /neosync

面向开发者的开源数据安全平台，用于监控和检测 PII、匿名化生产数据并在跨环境同步

sdv-dev /SDV

表格数据的合成数据生成

sdv-dev /CTGAN

Conditional GAN for generating synthetic tabular data.

sdv-dev /Copulas

使用Copula对多元数据建模的库。

onyx-dot-app /EnterpriseRAG-Bench

Dataset and benchmark for RAG on company internal documents.

microsoft /genalog

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Unity-Technologies /PeopleSansPeople

Unity's privacy-preserving human-centric synthetic data generator

fjxmlzn /DoppelGANger

[IMC 2020（最佳论文决赛入围者）]利用GAN共享网络时间序列数据：挑战、初期潜力与悬而未决的问题

ing-bank /INGenious

INGenious Playwright Studio

keishihara /flow-matching

Flow Matching implemented in PyTorch

sdv-dev /DeepEcho

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

PlantSimulationLab /Helios

开源植物及其环境 3D 模拟器：功能-结构植物建模（FSPM）、动态植物模型、光线追踪辐射、光合作用、气孔导度、能量平衡/ET、合成的自动标注 LiDAR 与相机影像，以及植物数字孪生。采用 C++ 并提供 Python API（PyHelios）。

netsharecmu /NetShare

(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

mostly-ai /mostlyai-engine

Synthetic Data Engine 💎

Graph-COM /GraphMaker

[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

GreatDataLabs /great-generator

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

weiyifan1023 /senator

NeurIPS 2025: Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs

microsoft /CodeMixed-Text-Generator

This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.

openraven /mockingbird

A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.

ritaranx /ClinGen

[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".