I am working on tcx-ls. It is quite niche, TCX is an XML file format used in sports tracking devices. Tcx-ls is a CLI that displays the information contained in the TCX file (like accumulated time and distance, etc.) in a more user-friendly way. I hope it is useful for many people.
I like the idea of a books list. This gives me new inspiration for books that I could read. Other languages like Spanish and French would also be great. :)
Thanks for your candid feedback. I copied the data manually into the CMS. I am looking at alternatives to that in the future, there are some projects that try to automate querying Wikipedia data. Have not tried them out, though. Any experience with that?
All right, thanks for your feedback. Correct, currently this is only content from Wikipedia, although in a more structured form. I hope to expand and improve content over time (maybe even with help of a community).
One idea is also linking from recipes to the SpiceNice database and getting more information about spices in that way.
All the big cloud providers like AWS and Azure have an API for the sythesis of text into the spoken word. But there are also young startups like ElevenLabs that offer their innovative solutions in this space. A third option is open source software for those who either do not want to pay for the service of TTS (text-to-speech) or do need on-device TTS. Also, privacy reasons can play a role here.
The headless open source content management system (CMS) Strapi can be dockerized and deployed via Docker to the cloud. In this article I want to show how to deploy Strapi to the Digital Ocean App Platform as a Docker container.
Although COBOL can be considered a legacy language, there are still billions of lines of COBOL in production. Modernizing these systems which are costly to run and maintain is a challenge. One solution to this issue is a COBOL to Go transpiler that I want to present in this article.
With WebAssembly you can integrate different programming languages together. This opens up new possibilities to use great libraries written in one language in another different platform. In this article I want to show how to integrate a Go library for sentence tokenization in a JavaScript webpage.