awesome-crystal
benchmarks
Our great sponsors
| awesome-crystal | benchmarks | |
|---|---|---|
| 4 | 40 | |
| 3,297 | 2,738 | |
| - | - | |
| 6.2 | 7.2 | |
| 8 days ago | 3 months ago | |
| Crystal | Makefile | |
| MIT License | 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.
awesome-crystal
- Medusa: The open-source alternative to Shopify
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My favourite backend tools
awesome
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Are there any web frameworks for Crystal?
You have quite a few options: https://github.com/veelenga/awesome-crystal#web-frameworks take your pick :P. Each has their pros and cons.
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Crystal Lang 1.0 Release
There are also other options: https://github.com/veelenga/awesome-crystal#web-frameworks.
https://athenaframework.org is pretty unique. It's one of the more flexible frameworks IMO. It comes from a Symfony/Spring style framework.
benchmarks
- Building a high performance JSON parser
- Twitter (re)Releases Recommendation Algorithm on GitHub
- 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.
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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New, fastest JSON library for C++20
https://github.com/kostya/benchmarks is the current ratings. Should be an easy PR to them too.
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What things would be awkward to do in a hypothetical "strict" Haskell variant, that are now not awkward to do?
I don't think that rule will get you to 1.5-2x of C speed though. This benchmark is the only one I could find that has both PyPy and C and it seems to still be around 5-35x.
They are at least trying to avoid measuring JIT compilation times. I don't know how effective that is, but I trust somebody would have complained if it wasn't fair.
What are some alternatives?
libuv - Cross-platform asynchronous I/O
lua-languages - Languages that compile to Lua
julia - The Julia Programming Language
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
mypyc - Compile type annotated Python to fast C extensions
Cython - The most widely used Python to C compiler
circe - Yet another JSON library for Scala
lucky - A full-featured Crystal web framework that catches bugs for you, runs incredibly fast, and helps you write code that lasts.
Benthos - Fancy stream processing made operationally mundane
Kategory - Λrrow - Functional companion to Kotlin's Standard Library
vector - A high-performance observability data pipeline.
Rope - a python refactoring library