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@emotion/weak-memoize

@emotion/weak-memoize is a memoization function that leverages a WeakMap to cache results based on non-primitive types. It is useful for optimizing performance by avoiding redundant calculations for the same input object. This package fits well in applications where function results need to be cached based on object references.

lurq health score
69/100
Confidence
proven
Weekly downloads
24,999,734
Latest version
0.4.0
Last release
Nov 4, 2025
License
MIT

Should you depend on @emotion/weak-memoize?

lurq's verdict: low

  • No known advisories

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