No features have been listed yet.
Based on our record, Nim (programming language) seems to be more popular. It has been mentiond 149 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> I'm interested to see whether the final feature set will be larger than what you'd get by creating a type-safe language with a pythonic syntax and compiling that to native, rather than building custom hardware. It almost sounds like you're asking for Nim ( https://nim-lang.org/ ); and there are some projects using it for microcontroller programming, since it compiles down to C (for ESP32, last I saw). - Source: Hacker News / 11 days ago
I think Nim might be a good candidate. https://nim-lang.org. - Source: Hacker News / about 2 months ago
It’s not popular compared to Go/Rust, but many find Nim scratches that itch: https://nim-lang.org/. - Source: Hacker News / about 2 months ago
FWIW, Nim (the programming language) is certainly interesting and possibly underrated. https://nim-lang.org/. - Source: Hacker News / 3 months ago
If not, Nim is probably the closest most 'Python-like' language that is almost as fast as C. https://nim-lang.org/. - Source: Hacker News / 6 months ago
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.
IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
R Lang - R is a free software environment for statistical computing and graphics.
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.