As in years past, our top picks for 2023 include an amazingly eclectic mix of technologies. Among the 25 winners you’ll find programming languages, runtimes, app frameworks, databases, analytics engines, machine learning libraries, large language models (LLMs), tools for deploying LLMs, and at least one or two projects that outstrip such straightforward descriptions.
https://www.infoworld.com/article/3709196/the-best-open-source-software-of-2023.html