libnut VS node-jxa

Compare libnut vs node-jxa and see what are their differences.

libnut

An Node-API addon for desktop automation (by nut-tree)

node-jxa

Use your favorite node.js modules (and JS editor) for your Javascript OSX automation scripts (by johnelm)
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libnut node-jxa
1 1
48 72
- -
7.6 10.0
over 1 year ago over 3 years ago
C JavaScript
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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libnut

Posts with mentions or reviews of libnut. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-26.
  • The unexpected return of JavaScript for Automation
    5 projects | news.ycombinator.com | 26 Nov 2021
    One really cool little JS library I've been using for a bunch of desktop automation tasks lately is nut.js and the lower level libnut library it's implemented on top of:

    https://github.com/nut-tree/nut.js

    https://github.com/nut-tree/libnut

    It provides a means to send user input (mouse movement/clicks and key presses) and read and react to changes in visual state (through screenshots), and works across Windows, Linux and MacOS. It automates at a much lower level of abstraction than the approaches mentioned in the article that script against programmatic APIs.

    What I really like about this lower level approach is that you don't need to get anyone's permission to automate anything, since there's no programmatic API that the system owners has to provide for you and thus can limit or take away when it becomes inconvenient.

    Any task that can be accomplished though looking at stuff on the screen and clicking the mouse and pressing keys on a keyboard (i.e. what a real person would do to accomplish the same task) can be automated, and it's actually surprisingly easy and effective to do this with nut.js. What really helps is that OpenCV has become ridiculously good and ridiculously fast at matching/identifying objects from a screenshot, with latencies usually in the low double digits, so latency-based flakiness isn't nearly as much of an issue as I remember it in the old days. I've also played around with OCR with tesseract but haven't had as much success with it in terms of perf, and remember seeing latencies of several seconds for even recognizing a single word from a tiny pre-cropped screenshot containing only the word itself.

    The main tradeoff to this approach compared to automation through APIs is that because it works by simulating real user inputs, it's not very amenable to running in the background while a user is actively interacting with the same machine, so a separate machine or VM is often needed. That's an acceptable tradeoff for some use cases but complete deal breaker for others, so YMMV, but just wanted to bring this cool little tool to people's attention.

node-jxa

Posts with mentions or reviews of node-jxa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-26.
  • The unexpected return of JavaScript for Automation
    5 projects | news.ycombinator.com | 26 Nov 2021
    A, and by the way. Inevitably with a decent and widespread language you want to use third-party libraries, especially seeing as there are thousands of them by now. Well, apparently you can load .scpt libraries—presumably done in either AppleScript or Javascript—but you can't just load a JS module from a file. There's a project that wraps JXA and uses Browserify to cram additional libraries down JXA's throat by merging them with the main script: https://github.com/johnelm/node-jxa

What are some alternatives?

When comparing libnut and node-jxa you can also consider the following projects:

node-ffi-napi - A foreign function interface (FFI) for Node.js, N-API style

nut.js - Native UI testing / controlling with node

node-csv - Full featured CSV parser with simple api and tested against large datasets.