minification-benchmarks VS TypeScript

Minifiers are used to reduce the size of the bundle. They can remove unused code, shorten expressions, and so on. And Now there are already several popular minifiers, and they continue to appear: more familiar ones - written in JavaScript - Terser and UglifyJS, even Babel has its own version of the minifier, there are also more modern SWC (written in Rust) and ESBuild (written in Go), and a bunch of other lesser-known minifiers. And I recommend you to look at this repository. It contains up-to-date test results of various popular minifiers.

This minify/gzip size effect is a well known quirk to developers of javascript minifiers. The minifier's symbol mangling algorithm often has a more pronounced effect than does advanced AST optimization.

This website has real life data on the matter for popular libraries:

* https://github.com/privatenumber/minification-benchmarks

Compare the trophies indicating smallest size for Minified versus Minzipped (gzip). Generally the smallest minified size yields the smallest minified+gzip size, but there are some notable anomolies outside the range of statistical noise. It is not practical for a javascript minifier to take a compression algorithm into account - it would blow up the minify timings exponentially.

It would be helpful to see how Bun's minifier compares to the others with popular libraries:

https://github.com/privatenumber/minification-benchmarks

JavaScript

There are many minifiers such as terser and uglify. But, because minifying also require to parse the JS, it is actually possible to use esbuild and SWC to minify the code. Here's a benchmark of the main minifiers.

Here's a comparison showing the major players with comparable stats at first glance. https://github.com/privatenumber/minification-benchmarks

https://esbuild.github.io/ https://github.com/privatenumber/minification-benchmarks

privatenumber/minification-benchmarks – JS minification benchmarks: babel-minify, esbuild, terser, uglify-js

Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.

Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]

I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.

[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...

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Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.

As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.

TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.

In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.

TypeScript

Familiarity with TypeScript, React and Next.js