Computing with Python functions.
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Updated
Oct 12, 2026 - Python
Computing with Python functions.
A memoization library which only remembers the latest invocation
Rust cache structures and easy function memoization
Enhance Reselect selectors with deeper memoization and cache management.
💨 The 3 most useful ES7 decorators: bind, debounce and memoize
The consistently-fast, complete memoization solution for JS
🟣 A robust Swift state-management framework designed for complex applications, featuring an integrated ORM for efficient data handling.
Persistent, stale-free, local and cross-machine caching for Python functions.
Incremental computation through constrained memoization.
The wise choice for Ruby memoization
The fastest memoizing and caching Python library written in Rust.
a subprocess caching utility, available as a command line binary and a Rust library.
The magic memoization for the State management. ✨🧠
A high performance caching library for Python written in Rust
An in-memory datalog implementation for OCaml.
Single-pass SSA compiler and tiered register VM for a sandboxed Python subset, with NaN-boxed values, inline caches, memoization, mark-sweep GC and snapshots. One WebAssembly module runs in browsers, JavaScript runtimes and the CLI.
A blazing fast memoization library that is tiny but feature-rich.
Decorator which applies memoization to a method of a class.
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