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 GANs, VAEs and much more. Our mission was to educate users on the benefits and trade-offs of these models, equipping them to make informed decisions about synthetic data generation.
However, as we’ve evolved alongside our community, one thing has become clear: users are seeking ready-to-use solutions that minimize complexity and effort. In response to this shift, we’ve made the decision to change ydata-synthetic. While this open-source tool has served its purpose well, the broader community has demonstrated a growing preference for models that deliver quality results with less manual intervention.
YData’s proprietary generative models, available through YData Fabric, meet these evolving needs. These models have already been designed to provide the seamless experience that today’s data practitioners expect. Whether you’re working with TimeGAN, CTGAN, or other cutting-edge generative AI techniques, YData Fabric allows users to generate high-quality synthetic data without the steep learning curve.
By transitioning ydata-synthetic into ydata-sdk, we’re focusing our resources on making synthetic data more accessible and efficient for everyone, while delivering high quality results every time. Our proprietary models offer the best of both worlds: the powerful generative capabilities of advanced models and the ease of use that our community has been asking for.
We deeply appreciate the support from everyone who engaged with ydata-synthetic over the years, and we are excited to continue delivering top-tier solutions that align with the needs of modern data teams. Explore YData’s proprietary models and experience synthetic data generation in its most intuitive form with YData Fabric.
Photo by Johannes Plenio on Unsplash
