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Synthetic Data Generation

Libraries and tools that learn patterns from real datasets and produce realistic synthetic tabular, relational, or time-series data, often with evaluation and quality reporting.

10 projects

See methodology for ranking rules; order uses public GitHub metrics within this scenario.

1–10 of 10

Rank Project Stars Forks
1 SDV

Synthetic data generation for tabular data

3.6K 420
2 distilabel

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

3.4K 256
3 kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

2.8K 280
4 synthetic-data-generator

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

2.4K 392
5 UltraChat

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

2.9K 144
6 unrealcv

UnrealCV: Connecting Computer Vision to Unreal Engine

2.2K 465
7 DataDesigner

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

2.2K 202
8 curator

Synthetic data curation for post-training and structured data extraction

1.7K 146
9 fg-data-synthetic

Synthetic data generators for tabular and time-series data

1.7K 257
10 synthetic-data-kit

Tool for generating high quality Synthetic datasets

1.6K 236