Showing 4 open source projects for "search engine code"

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  • 1
    TypeScript

    TypeScript

    Application-scale JavaScript

    TypeScript is an open source programming language that is a typed superset of JavaScript. It adds optional static typing to JavaScript, which can support tools for large-scale JavaScript applications for any browser, host and OS. TypeScript compiles to clean, simple JavaScript, and uses existing JavaScript code and libraries. It also offers support for the latest and evolving JavaScript features, such as async functions and decorators.
    Downloads: 13 This Week
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  • 2
    V Programming Language

    V Programming Language

    Simple, fast, safe, compiled language for developing software

    ...Most objects (~90-100%) are freed by V's auto-free engine: the compiler inserts necessary free calls automatically during compilation. A remaining small percentage of objects is freed via GC. The developer doesn't need to change anything in their code. "It just works", like in Python, Go, or Java, except there's no heavy GC tracing everything or expensive RC for each object.
    Downloads: 0 This Week
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  • 3
    Hogan.js

    Hogan.js

    A compiler for the Mustache templating language

    Hogan.js is a 2.5k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates. If you're developing with Node.js, just use NPM to add the Hogan package. Hogan.js was developed against the mustache test suite, so everything that holds true for templates is also the case for hogan.js. That means you get variables, sections, lambdas, partials, filters, and everything else you've...
    Downloads: 0 This Week
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  • 4
    JSGold is a GOLD Parser Engine in C++ for generating context-free grammar parsers in javascript.
    Downloads: 0 This Week
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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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