node-ffi-napi VS libnut

I actually came from AutoHotKey as well, specifically for the cross platform support!

I've found the dev experience with nut.js to be worlds ahead of AutoHotKey as well. You get to use a real programming language with proper modules, data structures, first-class functions, asynchrony, and have access to a vast ecosystem of third party libraries and tooling.

Some Windows specific APIs are easier to work with on AHK due to the collection of built-in functions specifically tailored for automation, but everything AHK is still possible with nut.js since you're just writing a node.js script and have access to libraries like https://github.com/node-ffi-napi/node-ffi-napi that can call native system libraries, with a bit more work involved.

> check out the Web X-Ray repo <https://github.com/mozilla/goggles.mozilla.org/>.

Thanks for example. Peeking a bit under the hood, it appears to be due to transitive dependencies referencing github urls (and transient ones at that) instead of semver, which admittedly is neither standard nor good practice...

FWIW, simply removing `"grunt-contrib-jshint": "~0.4.3",` from package.json and related jshint-related code from Gruntfile was sufficient to get `npm install` to complete successfully. The debugging just took me a few minutes grepping package-lock.json for the 404 URL in question (https://github.com/ariya/esprima/tarball/master) and tracing that back to a top-level dependency via recursively grepping for dependent packages. I imagine that upgrading relevant dependencies might also do the trick, seeing as jshint no longer depends on esprima[0].

I'm not sure how representative this particular case is to the sort of issues you run into, but I'll tell that reproducibility issues can get a lot worse in ways that committing deps doesn't help (for example, issues like this one[1] are nasty to narrow down).

But assuming that installation in your link just happens to have a simple fix and that others are not as forgiving, how is committing node_modules supposed to help here if you're saying you can't even get it to a working state in the first place? DO you own the repo in order to be able to make the change? Or are you mostly just saying that hindsight is 20-20?

[0] https://github.com/jshint/jshint/blob/master/package.json#L4...

[1] https://github.com/node-ffi-napi/node-ffi-napi/issues/143

NodeJS also has an FFI, where you can build a shared library (not limited to c++) and import it. Node-ffi-addon

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.