Synth Studio – Open-source synthetic data platform with differential privacy

Summary: Synth Studio generates privacy-preserving synthetic data using differential privacy guarantees. Users can upload datasets, train data generators, and evaluate the quality of synthetic outputs to create safe, scalable data for analysis and model training.

What it does

It offers Instant Schema Mode to generate large synthetic datasets from defined columns and ML Training Mode to learn patterns from small CSVs for privacy-safe data generation. It also provides privacy reports verifying statistical similarity without exposing real records.

Who it's for

Data scientists and researchers needing high-quality synthetic data without legal or ethical issues related to raw production data.

Why it matters

It addresses data access bottlenecks by enabling creation of usable synthetic datasets while preserving privacy and complying with data protection standards.