Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
The Synthetic Data Generator (SDG) is a specialized framework for generating high-quality structured tabular data that retains essential characteristics of original data while containing no sensitive information. It supports a wide range of data synthesis algorithms, including LLM-based and CTGAN models, and is optimized for big data with reduced memory consumption.
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