alexreardon/memoize-one
Memoize One
Memoize-one is a JavaScript function memoization library that stores function return values and serves them instantly on repeat calls with identical arguments to avoid redundant calculations. It retains only the single most recent argument set and return value, maintaining a constant and bounded memory footprint.
The library features a shallow argument comparison engine and includes the runtime execution context alongside input arguments during comparison to ensure state and binding changes trigger fresh computations. Users can inject custom equality functions to override the default argument matching strategy for advanced validation and fine-grained cache control. Additionally, it provides methods to clear stored cache entries on demand to release memory and force fresh execution on subsequent function calls.
Features
- Last-Result Caches - Store function output values to serve them instantly on repeat calls with identical arguments and avoid redundant calculations.
- Method Result Caches - Caching the return values of expensive JavaScript functions to avoid redundant calculations during repeat calls.
- Custom Equality Comparators - Configure custom comparison rules to replace default strict checks and determine whether inputs match using tailored logic.
- Custom Comparison Logic - Accept custom equality logic to determine whether input arguments match previous invocations for fine-grained cache control.
- Custom Equality Definitions - Accepts an optional user-defined comparison function to override the default argument matching strategy for advanced validation.
- Function Result Memoization - A function memoization library that remembers only the latest invocation and result to avoid redundant calculations with minimal memory usage.
- Context Memoization - Includes the execution context alongside input arguments during comparison to ensure state changes trigger fresh computations.
- Least Recently Used Caches - Retains only the single most recent argument set and return value, keeping memory usage constant and bounded.
- Function Result Caching - Wipe stored results on demand to free memory and force the wrapped function to recompute on the next invocation.
- Function Context Binding - Includes the runtime context alongside input arguments during comparison to ensure binding changes trigger fresh computations.
- Memoization Caches - Reset stored cache entries to release memory and force fresh execution on subsequent function calls.
- Execution Context Tracking - Include the runtime execution context during argument checks so changes to bindings trigger fresh calculations.
- React Hook Optimizations - Preventing unnecessary recalculations and re-renders in frontend applications by remembering the latest function outputs.
Star history
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