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Tags: Programming languages and compilers
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25–48 of 236 · Most stars

Database Markup Language (DBML), designed to define and document database structures

  • dbx
  • database-schema
  • dbml

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

🦄 Monads and popular FP abstractions, powered by Go 1.18+ Generics (Option, Result, Either...)

  • cats
  • either
  • fp
  • functional

ClojureScript's persistent data structures and supporting API from the comfort of vanilla JavaScript

High Performance data structures and utility methods for Java

  • java
  • performance

Converts a string to a slug. Includes integrations for Symfony, Silex, Laravel, Zend Framework 2, Twig, Nette and Latte.

Manifold is a Java compiler plugin, its features include Metaprogramming, Properties, Extension Methods, Operator Overloading, Templates, a Preprocessor, and more.

  • java
  • intellij
  • json
  • template-engine

Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

Concurrency primitives, safe memory reclamation mechanisms and non-blocking (including lock-free) data structures designed to aid in the research, design and implementation of high performance concurrent systems developed in C99+.

Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.

  • java
  • eclipse-collections
  • java-collections
  • collections

A tool set for CSS including fast detailed parser, walker, generator and lexer based on W3C specs and browser implementations

jOOλ - The Missing Parts in Java 8 jOOλ improves the JDK libraries in areas where the Expert Group's focus was elsewhere. It adds tuple support, function support, and a lot of additional functionality around sequential Streams. The JDK 8's main efforts (default methods, lambdas, and the Stream API) were focused around maintaining backwards compatibility and implementing a functional API for parallelism.