Showing 8 open source projects for "zero programming"

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  • 1
    Go SQLBuilder

    Go SQLBuilder

    Powerful SQL string builder library plus a zero-config ORM

    Go-SQLBuilder is a flexible and powerful SQL string builder library for the Go programming language. It aids developers in constructing SQL queries programmatically, ensuring code readability and maintainability.
    Downloads: 10 This Week
    Last Update:
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  • 2
    pybind11

    pybind11

    Seamless operability between C++11 and Python

    Pybind11 is a lightweight, header‑only C++ library that simplifies and streamlines creating Python bindings for C++11+ code. It uses template meta-programming to automatically infer types, minimizing boilerplate compared to Boost.Python, and works seamlessly with major build systems
    Downloads: 6 This Week
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  • 3
    ZIO

    ZIO

    A type-safe, composable library for async and concurrent programming

    ZIO is a purely functional, type-safe Scala library that provides an Effect (ZIO[R,E,A]) abstraction for asynchronous, concurrent programming. It offers resource safety, fiber-based concurrency, strong error handling, and deterministic testing—all with zero external dependencies. Ideal for building scalable backend systems with compositional architecture.
    Downloads: 0 This Week
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  • 4
    PortableGL

    PortableGL

    An implementation of OpenGL 3.x-ish in clean C

    PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support.
    Downloads: 4 This Week
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  • 5
    Lexbor

    Lexbor

    Lexbor is development of an open source HTML Renderer library

    Lexbor is the development of a web browser engine available as a software library; it ships with a free license and has no extra dependencies. For us, speed is an absolute must-have. In our development process, we focus on fastest parsing techniques for HTML, CSS, and fonts, fastest data processing methods, and fastest ways to serve content to end users. Whether you are building a backend that handles millions of HTML documents or a UI-heavy user app, your software’s response rate always...
    Downloads: 13 This Week
    Last Update:
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  • 6
    Lettuce

    Lettuce

    Advanced Java Redis client for thread-safe sync, async, etc.

    ...Lettuce is a fully non-blocking Redis client built with netty providing Reactive, Asynchronous and Synchronous Data Access. Lettuce provides asynchronous API with RedisFuture (CompletionStage) and Reactive types Flux [N] and Mono [0|1]. Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully supported. Lettuce comes with an API that gets you started quickly. Its simple yet powerful programming model allows you for trivial use-cases as well as for chained asynchronous flows. Redis Standalone, Master/Slave, Redis Sentinel and Redis Cluster. ...
    Downloads: 1 This Week
    Last Update:
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  • 7
    eCxx

    eCxx

    A C++ library for AVR and NodeMCU

    NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original...
    Downloads: 2 This Week
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  • 8
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
    Downloads: 2 This Week
    Last Update:
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