speed-comparison
Ruby on Rails
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speed-comparison | Ruby on Rails | |
---|---|---|
9 | 467 | |
422 | 54,894 | |
- | 0.7% | |
4.6 | 10.0 | |
2 months ago | 2 days ago | |
Earthly | Ruby | |
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.
speed-comparison
- Douglas Crockford: “We should stop using JavaScript”
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How often do you guys actually use C?
For example, Java runs on the JVM (Java Virtual Machine) instead of running directly on the hardware, and it also has a garbage collector to handle memory management. Running on a virtual machine means your code is more abstracted: you only have to worry about the JVM and not about the platform you’re running on (since the JVM is the platform), and it’s more portable since your code can go on anything that runs the JVM. But running the JVM as an intermediate layer takes more computing power and so does running garbage collection, meaning that you experience a performance penalty. Here’s one benchmark I could find comparing the use of different programming languages to compute pi, in which Java took about 3x as long as C to complete the same task
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AITA for telling my 9 y/o daughter she sucked for not writing professional-level code?
Or you've got the speed comparisons (https://github.com/niklas-heer/speed-comparison) -- Python is probably something like 10% the speed of C/C++ (although, like I said, 99% of the time that's comparable to premature optimization).
- sou iniciante e com uma dúvida, python é realmente lento? ou é só meme?
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Why does Julia use jit?
Looks like a PR was merged yesterday to make the code more simd friendly https://github.com/niklas-heer/speed-comparison/pull/52
- speed comparison of various programming languages, Julia (AOT) is on fire!!!
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An Apple fan walks into a bar....
Sure, they could have chosen Python. But I doubt the language differences account for even a noticeable percentage of the slowness of Brew.
- There is framework for everything.
Ruby on Rails
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GitHub Incident with Issues, API Requests and Pull Requests
[0] is a my favorite demonstration of it.
[0]: https://github.com/rails/rails/commit/b83965785db1eec019edf1...
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Client side Git hooks 101
Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily learn more about how, when and by whom features were implemented as well as how this implementation came to be.
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16 Best Ruby Frameworks For Web Development [2024]
Ruby on Rails is regarded as one of the best ruby frameworks. It was the primary language in developing big projects such as Twitter and helped the language boost the community. Often referred to as “Rails,” Ruby on Rails is a web development framework with an MVC control structure and currently running its 6.1 version. The 16-year-old language has dramatically influenced the web development structures and managing databases, web pages, and other components on a web application.
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More control over enum in Rails 7.1
In Rails 7.1, a new option _instance_methods is introduced, allowing developers to opt-out of the automatic generation of instance methods for enums. When enum is defined with _instance_methods: false, Rails will no longer generate methods like pending?, processed?, etc.
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Ruby on Rails load testing habits
Rails isn't super opinionated about database writes, its mostly left up to developers to discover that for relational DBs you do not want to be doing a bunch of small writes all at once.
That said it specifically has tools to address this that started appearing a few years ago https://github.com/rails/rails/pull/35077
The way my team handles it is to stick Kafka in between whats generating the records (for us, a bunch of web scraping workers) and and a consumer that pulls off the Kafka queue and runs an insert when its internal buffer reaches around 50k rows.
Rails is also looking to add some more direct background type work with https://github.com/basecamp/solid_queue but this is still very new - most larger Rails shops are going to be running a second system and a gem called Sidekiq that pulls jobs out of Redis.
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DHH installing Campfire (37s ONCE #1) [video]
I'm looking forward to see what extractions from this will land on rails. For example: https://github.com/rails/rails/issues/50454
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First commits in a Ruby on Rails app
Here is what strict_loading does (source):
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Continuous Deployment with GitHub Actions and Kamal
Kamal is a wonderfully simple way to deploy your applications anywhere. It will also be included by default in Rails 8. Kamal is trivial, but I don’t recommend using it on your development machine.
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What's Coming in Rails 8
Here's the GitHub milestone I've based this article on — https://github.com/rails/rails/milestone/87
- Rails 8 Plan
What are some alternatives?
arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)
Roda - Routing Tree Web Toolkit
OpenCV - Open Source Computer Vision Library
Hanami - The web, with simplicity.
docx4j - JAXB-based Java library for Word docx, Powerpoint pptx, and Excel xlsx files
Sinatra - Classy web-development dressed in a DSL (official / canonical repo)
pivotnacci - A tool to make socks connections through HTTP agents
Cuba - Rum based microframework for web development.
Apache ZooKeeper - Apache ZooKeeper
CodeBehind Framework - CodeBehind library is a modern backend framework. This library is a programming model based on the MVC structure, which provides the possibility of creating dynamic aspx files in .NET Core and has high serverside independence.
NumPy - The fundamental package for scientific computing with Python.
Padrino - Padrino is a full-stack ruby framework built upon Sinatra.