Languages and Frameworks Thoughtworks Technology Radar the amount of code the browser has to download without sacrificing features for developers; moreover, it’s proven to be performant and battery-friendly for mobile web applications as less code has to execute in the browser itself. Performance benefits aside, our teams have appreciated its friendly learning curve and the maintenance benefits that come from writing less code. Svelte itself is only the component framework, but SvelteKit adds features to build full web applications. 90. Aleph.js Assess There is certainly no shortage of frameworks to build web applications in JavaScript/TypeScript. We’ve featured many of them in the Radar, but what sets Aleph.js apart in this crowded field is that it’s built to run on Deno, the new server-side run time created by the original developer of Node. This puts Aleph.js on a modern foundation that addresses several shortcomings and problems with Node. Aleph.js is still new — it’s approaching the 1.0 release at the time of writing — but it already offers a solid developer experience, including hot module replacement. With Deno now way past its 1.0 release, this is a modern choice for projects that can take the risk. 91. Astro Assess It’s hard to believe, but in 2022, the developer community continues to pump out interesting new frameworks for building web applications. Astro is a recent, open-source, multi-page application framework that renders HTML on the server and minimizes the amount of JavaScript sent over the wire. Astro seems particularly well-suited to content-oriented websites that pull from many different sources. We like the fact that although Astro encourages sending only HTML, it still supports — when appropriate — select active components written in the front-end JavaScript framework of your choice. It does this through its island architecture. Islands are regions of interactivity within a single page where the necessary JavaScript is downloaded only when needed. Astro is relatively new but seems to support a growing ecosystem of developers and code. It’s one to watch as it develops. 92. BentoML Assess BentoML is a python-first framework for serving machine-learning models in production at scale. The models it provides are agnostic of their environment; all model artifacts, source code and dependencies are encapsulated in a self-contained format called Bento. It’s like having your model “as a service.” Think of BentoML as the Docker for ML models: It generates VM images with pre- programmed APIs ready for deployment and includes features that make it easy to test these images. BentoML can help speed up the initial development effort by easing the start of projects which is why we included it in Assess. 93. Carbon Aware SDK Assess When looking at reducing the carbon footprint of an application — the carbon dioxide emissions caused indirectly by running the software — attention is usually directed at making the software more efficient. The thinking is clear: more efficient software needs less electricity and fewer servers, © Thoughtworks, Inc. All Rights Reserved. 39