Computing with Python functions.
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Updated
Nov 28, 2024 - 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.
The wise choice for Ruby memoization
Persistent, stale-free, local and cross-machine caching for Python functions.
Incremental computation through constrained memoization.
The magic memoization for the State management. ✨🧠
The fastest memoizing and caching Python library written in Rust.
An in-memory datalog implementation for OCaml.
Decorator which applies memoization to a method of a class.
a subprocess caching utility, available as a command line binary and a Rust library.
💡 Build your own programming language! A C++17 PEG parser generator supporting parser combination, memoization, left-recursion and context-dependent grammars.
A tiny, crazy fast memoization library for the 95% use-case
A powerful caching library for Python, with TTL support and multiple algorithm options.
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