What is the performance impact of using tracemalloc in Python?

What is the performance impact of using tracemalloc in Python?

Tracemalloc is a built-in module in Python that helps track memory allocations. While it provides valuable insights, it can introduce some overhead, especially in memory-intensive applications.

How much overhead does it typically add?

The overhead can vary, but in general, it might add around 5-10% to memory usage and execution time, depending on the complexity of your code.

Are there ways to minimize this overhead?

Yes, you can minimize overhead by limiting the number of snapshots you take and only enabling tracemalloc during specific debugging sessions.

Is it worth using tracemalloc for production applications?

It depends on your needs. If you're facing memory issues or need to optimize memory usage, the insights from tracemalloc can be invaluable, even in production.