pryr <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">
Tools for peering inside R objects and understanding R's memory usage and internal behavior.
What is pryr <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">?
pryr is an R package that provides tools for inspecting R's internal behavior and memory usage. It helps developers understand how R objects are structured, track memory consumption, and debug complex code by revealing implementation details that are typically hidden from users.
R developers and data scientists who need to debug memory issues, optimize performance, or understand the internal behavior of their R code and objects.
pryr offers a unique set of practical inspection tools that make R's internals accessible without requiring deep knowledge of the language's C implementation, helping developers write more efficient and reliable code.
Overview
Pry open the covers of R
Use Cases
Best For
- Debugging memory leaks in large R applications
- Understanding the internal structure of complex R objects
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