Validate the quality of your synthetic data.
Understand your data.
Gretel Evaluate provides an out-of-the-box report on every model you train, so you can easily understand how your data performs on key metrics and compare results side by side.

- Synthetic Data Quality Scores (SQS)
Measure how closely the generated data maintains the statistical properties of the original dataset.
- Privacy Protection Levels (PPL)
Show the tunable privacy levels of each synthetic model.
- ML Quality Scores (MQS)
Assess the performance of synthetic data on classification and regression models.
- Gretel Benchmark
An easy-to-use low-code tool that benchmarks multiple datasets against multiple synthetic models.
Benefits for Developers
Eliminate evaluation bottlenecks. Accelerate model development with faster data feedback loops.
Improve data comprehension. Get a deep understanding of the technical metrics that matter most in your data.
Increase operational efficiency. Easily compare synthetic models and datasets throughout the ML lifecycle.

Ready to try Gretel?
Get started in just a few clicks with a free account.
- Join the Synthetic Data Community
Join our Discord to connect with the Gretel team and engage with our community.
- Read our docs
Set up your environment and connect to our SDK.