Gretel Blog

A guide to load (almost) anything into a DataFrame

A guide to load (almost) anything into a DataFrame

Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.
Read more...
Synthetic Data Configuration Templates

Synthetic Data Configuration Templates

Our new configuration templates will help you pick some of the right parameters needed to train your synthetic data models.
Read more...
Practical Privacy with Synthetic Data

Practical Privacy with Synthetic Data

Implementing a practical attack to measure un-intended memorization in synthetic data models.
Read more...
Introducing the Gretel Bartender

Introducing the Gretel Bartender

A game-changing AI that will disrupt the cocktail industry and spin the world on its head.
Read more...
Anonymize Data with S3 Object Lambda

Anonymize Data with S3 Object Lambda

Anonymize data at access time with Gretel and Amazon S3 Object Lambda.
Read more...
How accurate is my synthetic data?

How accurate is my synthetic data?

Gretel’s new synthetic report is here, featuring a high-level score and metrics to help you assess the quality of your synthetic data.
Read more...
Gretel Smart-Seeding is auto-complete for your data

Gretel Smart-Seeding is auto-complete for your data

Smart-seeding lets you train a synthetic data model to auto-complete partial records and text.
Read more...
Machine Learning Accuracy Using Synthetic Data

Machine Learning Accuracy Using Synthetic Data

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.
Read more...
CHANGELOG: Beta2

CHANGELOG: Beta2

Here's what we learned about privacy engineering from 50+ companies and hundreds of developers.
Read more...
Creating synthetic time series data

Creating synthetic time series data

A step-by-step guide to creating high quality synthetic time-series datasets with Python.
Read more...