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Layers / Data / RAG / Synthetic data

Synthetic data

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Generating training or test data rather than collecting it, including privacy-preserving substitutes for real records. Marking up data that already exists is labelling and annotation.

20 in this category
SORTED BY STARS

NARROW BY WHAT THIS CATEGORY ASKS

LICENCE · 6 NOT READ

OUTPUT MODALITIES · 11 NOT READ

OPEN SOURCE · 14 NOT READ

PRODUCTUSED BYSTARSDOWNLOADS 30D
Eeasy-datasetA powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval14,902MMimesisMimesis is a Python library for generating fake but realistic data in multiple languages and locales.4,840blenderprocA procedural Blender pipeline for photorealistic training image generation3,708sdvSynthetic data generation for tabular data3,554kubricA data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.2,816UnrealCVUnrealCV: Connecting Computer Vision to Unreal Engine2,213dataarc-syndata-toolkitSynthetic Data Generation Platform By DataArcTech1,780greenmaskDatabase anonymization and test data management1,761fg-data-syntheticSynthetic data generators for tabular and time-series data1,657ctganConditional GAN for generating synthetic tabular data.1,566intellagentA framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions1,257graphgenGraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation1,219copulasA library to model multivariate data using copulas.652ditto[CVPR'26 Highlight] Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset629myvisionComputer vision based ML training data generation tool :rocket:610cosmos-drive-dreamsCosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models537edslDesign, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.495be_greatA novel approach for synthesizing tabular data using pretrained large language models366SDVBenchmarking synthetic data generation methods.311gen-fraud-graphSynthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.281

SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC

Cite this page

The count and its date sit inside the citation, because “Synthetic data” without a date is a claim that quietly goes wrong as the category fills.

infratoapp, “Synthetic data — Data / RAG”, read 28 October 2026. 20 listed products. https://www.infratoapp.com/layers/data-rag/synthetic-data

No overall score, and no rank column

Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.

Frequently asked

What is in the Synthetic data category?
20 products in the Data / RAG layer of the AI stack. Generating training or test data rather than collecting it, including privacy-preserving substitutes for real records. Marking up data that already exists is labelling and annotation. Listed members include easy-dataset, Mimesis and blenderproc. Every fact on each listing carries the page it was read from and the date it was read.
How are Synthetic data compared here?
By the 6 attributes this category declares, asked of every member and answered only where a source states it. A product with no answer on record shows a gap rather than a guess, and no blended score is published — weights would be an opinion presented as arithmetic.
easy-dataset or Mimesis?
Both are listed under Synthetic data. We publish no verdict between them — we hold no benchmark that would support one. What we do hold is the same attribute sheet for each, side by side with the source behind every value, at /compare/easy-dataset-vs-mimesis.
What does a blank mean on a synthetic data row?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A listing with a blank has not failed the question; it has not been read for it.
How often are synthetic data figures re-read?
Every value carries the date it was read and a link to the page it came from. Prices move fastest and are re-read most often; an attribute read weeks ago says so rather than presenting itself as current. Anything past 21 days is hidden rather than shown stale.
Is this every synthetic data there is?
No. This is 20 we have read and can cite. A directory that claimed completeness would be making a promise it cannot keep, so the page states its own count instead and says when a category is too thin to shortlist from.
Can a vendor pay to rank higher here?
No. Nothing on this page can be bought: a sponsor cannot enter a table, reorder a row or change a mark, and there is no ranked position for sale. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.