diffeqpy
crystal
Our great sponsors
| diffeqpy | crystal | |
|---|---|---|
| 4 | 239 | |
| 491 | 19,098 | |
| 3.3% | 0.5% | |
| 7.7 | 9.8 | |
| about 1 month ago | 4 days ago | |
| Python | Crystal | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
diffeqpy
- ‘Machine Scientists’ Distill the Laws of Physics from Raw Data
- Is it possible to create a Python package with Julia and publish it on PyPi?
-
Julia vs R/Python
10-100x speed increase was not an exaggeration for me. With julia I was able to run things quickly on my own machine which I had been running on a compute cluster. I agree that numba could be just as fast as julia. I also just saw that you can run that DE library from julia that I like so much from python using this package. https://github.com/SciML/diffeqpy
crystal
-
Top Paying Programming Technologies 2024
27. Crystal - $77,104
-
Crystal 1.11.0 Is Released
I like the first code example on https://crystal-lang.org
# A very basic HTTP server> What's the state of Windows support.
https://github.com/crystal-lang/crystal/issues/5430
> UPDATE 2023-04-24:
> All the main platform features for Windows are finished!
> There are still some smaller stories pending. Project board: https://github.com/orgs/crystal-lang/projects/11/views/5
> You can support the ongoing development financially: Windows suppport (https://opencollective.com/crystal-lang/projects/windows-sup...) project on Open Collective.
- Is Fortran "A Dead Language"?
- Odin Programming Language
- I Love Ruby
-
Ruby 3.3's YJIT: Faster While Using Less Memory
Obviously as an interpreted language, it's never going to be as fast as something like C, Rust, or Go. Traditionally the ruby maintainers have not designed or optimized for pure speed, but that is changing, and the language is definitely faster these days compared to a decade ago.
If you like the ruby syntax/language but want the speed of a compiled language, it's also worth checking out Crystal[^1]. It's mostly ruby-like in syntax, style, and developer ergonomics.[^2] Although it's an entirely different language. Also a tiny community.
-
Jets: The Ruby Serverless Framework
Ruby is a super fun scripting language. I much prefer it to python when I need something with a little more "ooomph" than bash. It's just...nice...to write in. Ruby performance has come a long way in the last decade as well. There's libraries for pretty much everything.
My modern programming toolkit is basically golang + ruby + bash and I am never left wanting.
I do find Crystal (https://crystal-lang.org/) really interesting and am hoping it has its own "ruby on rails" moment that helps the language reach a tipping point in popularity. All the beauty of ruby with all of the speed of Go (and then some, it often compares favorably to languages like rust in benchmarks).
-
Rage: Fast web framework compatible with Rails
> It always puzzled me why Crystal didn't catch up?
M:N wasn't added until late 2019 :( -- https://github.com/crystal-lang/crystal/pull/8112
What are some alternatives?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
go - The Go programming language
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
mint-lang - :leaves: A refreshing programming language for the front-end web
Odin - Odin Programming Language
tree-sitter-crystal
rust - Empowering everyone to build reliable and efficient software.
android.cr - Create Android applications using Crystal and the NDK
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
crow - Transpile/compile Crystal to Flow