Protect your data and ML products from low-quality data

“On our team, we’re using Pandera in every project that touches pandas DataFrames. As a programming tool, it lets us automatically check our DataFrames at runtime and in unit tests. As a tool for thought, it forces clarity on the purpose of DataFrames that we use and make in our projects.”

Eric J. Ma

Principal Data Scientist, Moderna Therapeutics

“Our data changes frequently, and we want a way to easily maintain and update our expectations about what counts as valid data. We use Pandera as a very fancy assertion statement to catch data errors in all the nodes of our production pipelines. Since we’ve adopted it, Pandera has helped us maintain the quality of our code during development and the quality of our models in production.”

Richard Decal

Senior ML Engineer, Dendra Systems

“Before Pandera, I had trouble with validating the data that I was pulling in from various databases. Pandera has saved me numerous times from the consequences of using poor-quality data. When Pandera data checks determine that something is incorrect, I can react quickly to resolve the situation or send a note out to my internal customers. Thanks a lot, Niels and the Pandera team, for such a great tool!”

John Kang

Director, Cox Automotive

“Pandera is a great data-validation toolkit! It's fast, extensible and easy to use. The community behind it is very helpful and responsive. Pandera is a must for data-intensive applications.”

Ayazhan Zhakhan

Co-Founder, Dropbase.io