# Performance of typed.List outside of jit functions

**URL:** <https://numba.discourse.group/t/performance-of-typed-list-outside-of-jit-functions/2560>\
**Category:** Community Support\
**Created:** [May 11, 2024, 6:19am UTC](https://numba.discourse.group/t/performance-of-typed-list-outside-of-jit-functions/2560 "2024-05-11T06:19:31Z")\
**Posts on this page:** 1\
**Showing post:** 3

<div class="post-metadata">

**Author:** ![nelson2005](https://yyz2.discourse-cdn.com/free1/user_avatar/numba.discourse.group/nelson2005/32/47_2.png) [@nelson2005](https://numba.discourse.group/u/nelson2005)\
**Post date:** [May 12, 2024, 1:54am UTC](https://numba.discourse.group/t/performance-of-typed-list-outside-of-jit-functions/2560/3 "2024-05-12T01:54:16Z")

</div>

Like @DannyWeitekamp alluded to, you can build all kinds of fast containers by allocating a numpy array and overlaying control structures on it. One discussion on the topic [here](https://numba.discourse.group/t/array-of-jitclass-with-low-memory-usage/1761/10)

---

_[View the full topic](https://numba.discourse.group/t/performance-of-typed-list-outside-of-jit-functions/2560)._