Computing with Python functions.
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Updated
Sep 1, 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.
The wise choice for Ruby memoization
Incremental computation through constrained 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 bytecode compiler and threaded-code stack VM for a Python subset. NaN-boxed values, inline caching, super-instruction fusion, pure-function memoization, mark-sweep GC, interpreter snapshots, and coverage-guided fuzzing. Runs in the browser as a WebAssembly module, or in the CLI as a script, a standalone binary, or a pool of workers.
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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