How to mitigate package security risks with Posit Package Manager

The popularity of R and Python for Data Science is in no small part attributable to the vast collection of extension packages available for everything from common tasks like data cleaning to highly-specialized domain-specific functions. However, with that ease of sharing packages comes a larger target for bad actors trying to exploit them. We’ll explore these security risks along with approaches you can take to mitigate them using Posit Package Manager.

Helpful resources:

Subscribe to more inspiring open-source data science content.

We love to celebrate and help people do great data science. By subscribing, you'll get alerted whenever we publish something new.