Showing 5 open source projects for "api web programming"

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  • 1
    plumber

    plumber

    Turn your R code into a web API

    plumber is an R package that enables rapid creation of HTTP APIs by decorating existing R functions with special roxygen-style comments. It transforms R scripts into RESTful web services with minimal setup and integrates easily with RStudio or CI environments.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Introduction to Zig

    Introduction to Zig

    An open, technical and introductory book for the Zig programming lang

    This is the official repository for the book "Introduction to Zig: a project-based Book", written by Pedro Duarte Faria. To know more about the book, check out the About this book section below. You can read the current version of the book in your web browser. The book is built using the publishing system Quarto in conjunction with a little bit of R code (zig_engine.R), which is responsible for calling the Zig compiler to compile and run the Zig code examples.
    Downloads: 13 This Week
    Last Update:
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  • 3
    QBPWCF

    QBPWCF

    PHP library for not only web-based application in Fedora Linux

    此專案的目的是要建立簡單、易用、參數說明完整且富有調整性的PHP元件庫,讓PHP程式設計開發者可以輕鬆地建立高度客製化的應用。 套用當代的術語而言,就是要作為LOW CODE平台的函式庫。
    Downloads: 0 This Week
    Last Update:
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  • 4
    tidyverse

    tidyverse

    Easily install and load packages from the tidyverse

    tidyverse is a meta‑package that installs and loads a cohesive suite of R packages designed for data science, sharing underlying design principles, grammar, and data structures. Core components include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, forcats, and more. It promotes tidy data workflows and consistency across tasks.
    Downloads: 1 This Week
    Last Update:
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  • 5
    Mastering Shiny

    Mastering Shiny

    Mastering Shiny: a book

    Mastering Shiny is a book (and its accompanying source repository) by Hadley Wickham that teaches people how to build interactive web applications using Shiny in R. It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers. The source code is open,...
    Downloads: 1 This Week
    Last Update:
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