tensorflow-resnet VS Commander.js

Projects: NodeJS,tensorflow-resnet, v8worker, tensorflow-vgg16

JavaScript is everywhere. Not only is JavaScript on every layer of the tech stack (frontend/middleware/backend), but you can also find JavaScript in every software domain. No matter if you want to do command-line tools, creative coding, or machine learning, you can do it in JavaScript. Because JavaScript is so ubiquitous, as a developer it’s the best career choice you can make.

Visit the Commander.js reference.

In the previous article, I looked at a Commander to configure and accept cli options and assign it to a variable called program.

You can write a command line utility using zx or commander.js. Hit a public api, spit stuff out in the console, etc.

In your index.js you can do whatever you want, even create an interactive CLI (check commander).

There is clearly a whole load of repetition, so this should be fairly easy to build and parameterise. Essentially this will all just be string building so we won't need to use any particular libraries for most of this script. We will need a way to call ffmpeg though - and ffmpeg will need to be present too, of course. To call a CLI command we can use the package commander.

Commander.js is an NPM package that makes it easier to build CLI tools. You can find its documentation over here

You can also use npm package commander to make more complex command line tool with lot of options and sub commands.

commander - npm - Required. A library that lets you define the commands and their arguments, options, help, etc.

Throughout my time writing and updating my static-site generator, I've been using npm from the very foundation I use an npm package called commander. Therefore, it is obvious that for the tool that I will be using to publish my ssg, I will do so with npm.