Showing 4 open source projects for "call flow"

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  • 1
    Fetch JSONP

    Fetch JSONP

    Make JSONP request like window.fetch

    Fetch JSONP is a small JavaScript library that provides a Fetch-like API for JSONP requests. Standard Fetch does not support JSONP, so this package fills that specific compatibility gap. Developers can call fetchJsonp, receive a promise, and parse the response with a familiar .json() flow. The library supports custom callback parameter names, custom callback function names, and request timeouts. It also documents the difference between regular JSON APIs and JSONP endpoints, which helps avoid common syntax errors. fetch-jsonp is useful for legacy APIs, older cross-domain integrations, and browser applications that still need JSONP behavior.
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  • 2
    WebExt Redux

    WebExt Redux

    A set of utilities for building Redux applications in Web Extensions

    A set of utilities for building Redux applications in web extensions. This package was originally named react-chrome-redux. webext-redux allows you to build your Web Extension like a Redux-powered webapp. The background page holds the Redux store, while Popovers and Content-Scripts act as UI Components, passing actions and state updates between themselves and the background store. At the end of the day, you have a single source of truth (your Redux store) that describes the entire state of...
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  • 3
    Shipit

    Shipit

    Universal automation and deployment tool

    Install shipit command line tools and shipit-deploy in your project. Shipit is an automation engine and a deployment tool. Shipit provides a good alternative to Capistrano or other build tools. It is easy to deploy or to automate simple tasks on your remote servers. Shipit emits the init event once initialized, before any tasks are run. You can add custom event and listen to events. You can overwrite all default variables defined as part of the default object. If you can't call...
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  • 4
    Illustrated Algorithms

    Illustrated Algorithms

    Interactive algorithm visualizations

    Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. Literally the same source file. Going back and forth between function execution (and call stack when algorithm uses recursion) is effortless. ...
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