Open Source Mac Source Code Analysis Tools

Browse free open source Source Code Analysis tools and projects for Mac below. Use the toggles on the left to filter open source Source Code Analysis tools by OS, license, language, programming language, and project status.

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  • 1
    Walt

    Walt

    Walt is a JavaScript-like syntax for WebAssembly text format

    Walt is an alternative syntax for WebAssembly text format. It's an experiment for using JavaScript syntax to write to as 'close to the metal' as possible. It's JavaScript with rules. .walt files compile directly to WebAssembly binary format. Writing zero-overhead, optimized WebAssembly is pretty tough to do. The syntax for .wat files is terse and difficult to work with directly. If you do not wish to use a systems language like C or Rust, then you're kind of out of luck. Your best bet (currently) is to write very plain C code, compile that to .wast and then optimize that result. Then you're ready to compile that into the final WebAssembly binary. Provide a thin layer of syntax sugar on top of .wat text format. Preferably porting as much of JavaScript syntax to WebAssembly as possible. This improved syntax should give direct control over the WebAssembly output. Meaning there should be minimal to none post-optimization to be done to the waste code generated.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Hydrogen

    Hydrogen

    Run code interactively, inspect data, and plot

    Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project – interact – a desktop application that wraps up the best of the web-based Jupyter notebook. Watch expressions let you keep track of variables and re-run snippets after every change. Completions from the running kernel, just like autocomplete in the Chrome dev tools. Code can be inspected to show useful information provided by the running kernel. One kernel per language (so you can run snippets from several files, all in the same namespace).
    Downloads: 0 This Week
    Last Update:
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