fib
benchmarks
fib | benchmarks | |
---|---|---|
5 | 40 | |
847 | 2,747 | |
- | - | |
4.3 | 7.2 | |
5 days ago | 3 months ago | |
Ruby | Makefile | |
- | MIT License |
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.
fib
- Not only Clojure – Chez Scheme: Lisp with native code speed
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Is Rust faster than Python out of the box
I've typically found rust to be about 100x faster than Python for the projects I've ported. This is consistent with https://github.com/drujensen/fib.
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Speed & LSP
Here is a similar benchmark but includes compile times. https://github.com/drujensen/fib
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Elixir Protocols vs. Clojure Multimethods
How? Do you mean how do I know it's slow? Because it takes longer to run.
Write a typical computation such as Fibonacci in Java and Erlang/Elixir and compare. Fortunately someone has already done this.
Elixir is 3x slower than C and 2x slower than Java for this single thread example.
https://github.com/drujensen/fib
Apparently this upsets people for me to point this out. However, I did not say that Elixir was slow in general or a bad choice. It's an excellent choice for problems which suit parallelization or which require reliable, consistent performance.
Since the parent poster had commented that adding this multi-module dispatch would not be performant, I merely pointed out that the single thread peformance was already slow (as in, why worry too much about the performance cost of the multi dispatch suggestion).
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I created a GitHub repo of some simple benchmarks to test different programming languages. Feel free to add more languages!
Is there some advantage over repos that also show the results ?
benchmarks
- Some Benchmarks of Different Languages
- Building a high performance JSON parser
- Top 5 Fastest Programming Languages
- Twitter (re)Releases Recommendation Algorithm on GitHub
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How green or energy efficient is the Go programming language?
GitHub - kostya/benchmarks: Some benchmarks of different languages
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
- I made a 88x88 version of the big display image command generator in Python! (will share github link if admins allow it)
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
- Why does Scala seem to be slow at benchmark results?
What are some alternatives?
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
libuv - Cross-platform asynchronous I/O
svix-webhooks - The enterprise-ready webhooks service 🦀
lua-languages - Languages that compile to Lua
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
julia - The Julia Programming Language
Game-Of-Life-Implementations - Conway's Game of Life implementation in various languages
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
natalie - a work-in-progress Ruby compiler, written in Ruby and C++
mypyc - Compile type annotated Python to fast C extensions
protocol_ex - Elixir Extended Protocol
Cython - The most widely used Python to C compiler