promise-memoize vs mem
Side-by-side — pricing, strengths, tradeoffs, and fit.
promise-memoize
Memoizes promise-returning functions with expiration and prefetch capabilities.
mem
Memoize functions to speed up consecutive calls with identical input.
At a glance
Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
Memoizes promise-returning functions with expiration and prefetch capabilities.
One-liner
Memoize functions to speed up consecutive calls with identical input.
Maturity
Maturity
DecliningMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Developers working on Node.js projects who need efficient caching of promise results
Teams building web applications that require optimized asynchronous operations
✓ Best for
Developers working on JavaScript projects who need to optimize function calls for better performance
Scenarios where a function is called repeatedly with the same arguments, leading to redundant computations
Not ideal for
✕ Not for
Projects requiring real-time data updates without caching
Applications where the overhead of memoization outweighs performance benefits
✕ Not for
Projects that do not require optimization of function calls or memoization techniques
Situations where the overhead of caching results outweighs the benefits of memoization
Strengths
↑ Strengths
Memoizes promise-returning functions
Supports expiration of cached results
Enables prefetching of results
↑ Strengths
Memoization of functions to speed up performance
Simple and lightweight implementation
Supports both synchronous and asynchronous functions
Weaknesses
↓ Weaknesses
Limited documentation and examples
Small community support
Potential memory leaks with improper expiration handling
↓ Weaknesses
Limited support for complex data types as cache keys
Performance overhead in high-frequency update scenarios
Small community and limited third-party integrations