Jupyter Scala
Laminar
Jupyter Scala | Laminar | |
---|---|---|
6 | 26 | |
1,564 | 716 | |
0.0% | - | |
9.0 | 8.3 | |
15 days ago | about 2 months ago | |
Scala | Scala | |
BSD 3-clause "New" or "Revised" 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.
Jupyter Scala
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π Making VSCode itself a Java REPL π
Checkout almond
- A Python-compatible statically typed language erg-lang/erg
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EDA libraries for Scala and Spark?
What about https://github.com/alexarchambault/plotly-scala and https://almond.sh/
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Is there any editor or IDE that supports Ammonite with inline dependencies?
I use Almond in JupyterLab, which has pretty solid code completion. In IntelliJ, you can create a scratch sc file and run lines of it in the Scala REPL. That's really convenient for code completion and I normally will use that when I'm testing something from a specific project.
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Recommended option for "Java with different syntax"?
The UI part. There's only the scala REPL. I think the closest is a scala kernel for Jupyter notebooks, check this out: https://almond.sh/
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An SQL Solution for Jupyter
We have used https://almond.sh/ to create a Spark SQL interpreter using Jupyter Notebooks - plus a whole lot more which you can see here: https://arc.tripl.ai/tutorial
After seeing many companies writing ETL using code we decided it was too hard to manage at scale so provided this abstraction layer - which is heavily centered around expressing business logic in SQL - to standardise development (JupyterLab) and allow rapid deployments.
Laminar
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Ask HN: Those making $500/month on side projects in 2024 β Show and tell
My quite niche open source project broke this threshold last year, via Github sponsorships. Of course, I put a lot of time into it, so it's not "passive income" or even "market rate income", but still, without these sponsorships I wouldn't be able to work on it so much.
The project is Laminar, a UI library for Scala.js https://laminar.dev
- The golden age of Kotlin and its uncertain future
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Why would users avoid a library that makes heavy use of macros in Scala 3?
I've noticed that Laminar and the newly released Kyo point that they don't use a lot of macros as a feature. Laminar says "Easy to understand: no macros", while Kyo emphasizes "Note: defer is currently the only macro in Kyo. All other features use regular language constructs." It seems that using less macros is something library users will like.
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Is there any book or course about Scala front-end development?
https://laminar.dev/ might be what you need. Though I wish there was a more beginner friendly (I'm not from front-end world) tutorial for me to follow along.
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Designing an HTML Component system
Have you looked at Laminar and Tyrian? Especially Tyrian seems to be close to what you're looking for.
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The Quest for the Ultimate GUI Framework
For Scala there is Laminar, which has an even flashier website with nice docs. I haven't tested it out though, as I have never used Scala.
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Solid like scala library that has more powerful reactive primitives and lean syntax?
I found this scala library called Laminar which looks super similar to solid. They use signals and has no virtual dom. State changes are represented by signals and events by event streams. Thus they seems to have feature parity with RXJS as they can model all sorts of async stuff. Best part is they get to keep writing their markup in C-style syntax than XML based JSX. It looks super elegant,minimalist and has type safety.
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Solid JS compared to svelte?
This is very true. I really hate svelte single file components. But then I tried JSX for breaking things down. I love solid but I don't feel really good about angle brackets within C style syntax. I saw this Scala library that stick with simple statically typed function syntax than html tags. I don't understand why people still wants to stick with xml like tags. In laminar markup is written like this scala div( h1("Hello world", color := "red"), inputCaption, input(inputMods, name := "fullName"), div( ">>", button("Submit"), "<<" ) ) I wish solid team makes their HyperScript syntax as performant as JSX.
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Ask HN: What companies are embracing βHTML over the wireβ?
Laminar (Scala framework) hasn't been mentioned yet so dropping it here as an awesome framework that support HTML-over-the-wire. It can be used together with React, HTMX, and many other frontend frameworks -- but doesn't have to be.
https://laminar.dev/
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10 Years of Scala.js
Scala.js core itself, which I maintain, does not need much innovation. We support all of Scala, and interact with any JavaScript library. That's what the core promises.
If you want to compare to Scala 3, it's worth pointing out that you can use Scala.js with any Scala version >= 2.12.2. In particular, you can use it with Scala 3 and benefit from all its innovations. ;)
Innovation comes mainly from libraries, notably UI libraries. Laminar (https://laminar.dev/) is a great example.
In terms of roadmap, we are mostly working on "boring" stuff: improving performance (of the generated code, and of the linker), fixing bugs when they get reported, etc.
Perhaps, when Wasm gets more features for deeper interoperability with JavaScript (manipulating objects notably), we will take another look at targeting Wasm. People usually expect all languages to target Wasm now, "because it's fast". Truth is, it's fast for languages with linear memory. There is no evidence yet that it will be fast for memory-managed languages with objects and virtual dispatch.
What are some alternatives?
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
OutWatch - The Functional and Reactive Web-Frontend Library for Scala.js
Metals - Scala language server with rich IDE features π
tyrian - Elm-inspired Scala UI library.
Vegas - The missing MatPlotLib for Scala + Spark
Binding.scala - Reactive data-binding for Scala
Apache Flink - Apache Flink
Udash - Scala framework for building beautiful and maintainable web applications.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
scalajs-react - Facebook's React on Scala.JS
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
slinky - Write Scala.js React apps just like you would in ES6