JRuby VS matplotlib

Are you aware of jruby?

https://www.jruby.org/

It is ruby running on a Java Virtual Machine. Imposes all downsides of the JVM (try to allocate more that 4GByte per object!) and provides JVMs concurrency model. Currently supports Ruby 3.1 (it claims to support 3.4, read the fine print if your specific feature is supported!)

Another way to look at it based on coming across it in enterprise:

How did he build something adopted by so many enterprises?

It does some things at scale very well and has been afforded the performance improvements of very smart people for 30y.

It’s not to say the language isn’t verbose, one of my favourite features was the ability to write code in other languages right inside the a Java app pretty well in-line by using the JVM, thanks to JSR-223.

It was possible to write Ruby or Python code via Jruby or Jython and run it in the JVM.

https://www.jython.org/

https://www.jruby.org/

https://docs.oracle.com/javase/8/docs/technotes/guides/scrip...

As someone who has looked at Shoes several times but never dove in, it's confusing how Shoes 4 has been the "preview version" of Shoes for, like, a decade or more. It made me actively avoid getting invested in Shoes 3 (the release promoted on the linked website) because Shoes 4 requires JRuby and I am happy with CRuby (the Ruby interpreter most people think of when they hear "Ruby").

https://github.com/shoes/shoes4/

http://www.rubydoc.info/github/shoes/shoes4

No disrespect to the developers but to me it feels like taking over a GUI toolkit created "to teach programming to everyone" (to quote the Shoes 4 readme) and making it depend upon a super-complicated enterprise-focused Ruby was sort of Missing The Point™ in a huge way.

Heck I couldn't even switch to JRuby if I wanted to because I <3 Ractors and JRuby still lacks CRuby 3.0 feature parity: https://github.com/jruby/jruby/issues/7459

__callee__ now properly returns the name under which a method was called, which will be the new name in the case of aliased methods. #2305, #7702

Issue tracker: https://github.com/jruby/jruby/issues

rdoc has been updated to 6.3.3 to fix all known CVEs. (#7396, #7404)

Altering the visibility of an included module method no longer changes what super method gets called. (#7240, #7343, #7344, #7356)

It looks like the readme is copy pasta from jruby: https://github.com/jruby/jruby

Homepage: https://www.jruby.org/

As is the case with most Python libraries, it is open-source and free-to-use, making it easily accessible by anyone willing to learn machine learning, and it is built upon other open-source libraries within Python, like SciPy for advanced scientific operations, NumPy for efficient numerical computations, Matplotlib for data visualization, and Cython for increased efficiency and speed, similar to that of C/C++.

The source code for Matplotlib is located at this github repository https://github.com/matplotlib/matplotlib

Difficult to draw conclusions with no code here.

An interesting thing they didn't mention is that Matplotlib's point-in-path code is actually already in C. So this isn't really a case of Rust being X times faster than Python, it's X times faster than some other C algorithm. That's probably why X is only ~4 (they don't actually give a single-thread comparison), instead of ~50.

https://github.com/matplotlib/matplotlib/blob/cb487f3c077c93...

I expect the Rust code is faster because that code is waaaaay more complicated than what they probably need (https://stackoverflow.com/q/11716268/265521) - e.g. it handles stroke widths.

IMO this result is not very interesting.

Github: https://github.com/matplotlib/matplotlib

as suggested here.

Tool: Matplotlib Pyplot

The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.

Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib