4 February 2025, Vienna – Austrian synthetic data startup MOSTLY AI announces the release of the world’s first industry-grade open source toolkit for producing synthetic data from real customer data.

Long before most of us were thinking about large language models, DataCebo co-founders Kalyan Veeramachaneni and Neha Patki were creating an open source library called Synthetic Data Vault, or SDV ...

The Synthetic Data project was born in Capital One’s machine learning ... The project also works well with Data Profiler, Capital One’s open-source machine learning library for monitoring big ...

While other synthetic data solutions focus on generating images or text, the SDV ecosystem of tools is unique in that it focuses almost exclusively on tabular data. The open source offering can model ...

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets. MIT Computer Science & Artificial ...

The marketplace compliments Innodata’s open-source repository of more than 4,000 datasets. These help in the prototyping of supervised and unsupervised ML projects.

The open source Synthetic Data Vault (SDV) is a Synthetic Data Generation ecosystem of libraries that provides some very useful features (if they perform): single-table, multi-table and time-series ...

Synthetic data will be a huge industry in five to 10 years. For instance, Gartner estimates that by 2024, 60% of data for AI applications will be synthetic. This type of data and the tools used to ...

The team plans to make SyntheX an open-source tool for data simulation, so other researchers can get the datasets they need. "If you need real data from cadavers or clinics, only very few ...

The new challenge is part of ONC's Synthetic Health Data Generation to Accelerate Patient-Centered Outcomes Research project. Participants are invited to develop and test innovative new tools and ...