YData was recognized as the best synthetic data vendor! Read the complete benchmark.

Synthetic Q&A and Document Generation for LLM workflows

As generative AI reshapes industries, the quality, diversity, and safety of the data used to train and evaluate models have never been more critical. Today, we’re thrilled to announce two major additions to YData's product portfolio that...

​YData Achieves Top Ranking in AIMultiple's 2025 Synthetic Data Benchmark​

We are thrilled to announce that YData has been recognized as the most statistically accurate synthetic data generator in AIMultiple's 2025 benchmark. This independent evaluation assessed seven publicly available synthetic data generators...

ydata synthetic; synthetic data generation; python synthetic data generation

ydata-synthetic: Models to revolutionise Synthetic Data Generation

At YData, open-source solutions have always been a fundamental part of our DNA. Through ydata-synthetic, we’ve shared knowledge and empowered users to explore the potential of different generative models like TimeGAN, CTGAN, and many other...

soc2 type2; ydata privacy and security compliance

The Importance of Security and Privacy: SOC 2 Type 2 Compliance

In today's data-driven world, ensuring the security and privacy of customer information is paramount. For companies like YData, which operates at the forefront of data solutions, meeting the highest standards of security is not just a...

Synthetic data generation; best practices for synthetic data; generative AI

7 Best Practices for Synthetic Data Generation

In the rapidly evolving AI landscape, synthetic data has emerged as a powerful solution to address challenges such as data privacy, scarcity, bias and even to improve overall data quality of a given dataset. However, generating synthetic...

Text data; synthetic text data; generative ai; large language models

Synthetic data to solve challenges in training and fine tuning LLMs

Photo by Roman Kraft on Unsplash As machine learning continues to evolve, the use of Large Language Models (LLMs) has become increasingly prevalent, particularly in complex tasks requiring deep understanding and generation of human-like...

fake data; dummy data; quality assurance; synthetic data generation;

Enhancing Data Management Solutions with data bootstrap

Photo by Isaac Smith on Unsplash Synthetic data bootstrap In the dynamic landscape of organizations high-quality data is a requirement for the development of many solutions - from software testing and validation all the way to Artificial...

overall-fabric-privacy-score

How to evaluate the re-identification risk in Synthetic Data?

While allowing for meaningful data behavior, it is crucial that synthetic data safeguards individual privacy. Therefore, ensuring the efficacy of synthetic data applications also requires a strong assessment of re-identification risks....

privacy-metrics-report

How is diversity preserved while ensuring privacy in synthetic data?

One of the most valuable and unique characteristics of synthetic data is that it keeps the properties and behavior of original data without a one-to-one link with the real events, thus fostering data privacy and enabling secure data...

open-source community; advent of code; pandas profiling; ydata-profiling; exploratory data analysis

Contribute to ydata-profiling in this Advent

A merry data analysis for all As the holiday season approaches, it's not just about decorating trees and sharing gifts; it's also a time to give back to the community and spread joy. This year, why not celebrate the season of giving by...

synthetic data generation, synthetic data, open-source, pandas

Synthetic Data Generation in your stocking

An Advent to explore Generative AI and Synthetic Data Holidays are approaching and you are feeling like you want to explore something new - synthetic data might just be it! Options are always great, and data profiling is always a good...

Synthetic data in Retail; Data profiling in Retail; Machine Learning in Retail

How to successfully adopt AI in Retail

The Power of Data Quality, Orchestration, Profiling, and Synthetic Data Retail is not only a fast-paced but also a highly competitive landscape, demanding from the players to be always ahead of the competition. The adoption of AI and...

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