skiko
Petalisp
skiko | Petalisp | |
---|---|---|
14 | 17 | |
1,700 | 452 | |
1.7% | - | |
8.7 | 8.5 | |
3 days ago | 15 days ago | |
C++ | Common Lisp | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
skiko
-
Coffee beans are becoming extinct
All I know is that they use skiko.
- Show HN: Sierra, a DSL for building Java Swing applications
-
Build desktop applications with JetBrains' new UI style and Compose Desktop
It built on a render framework named skia, JetBrains create a kotlin mapping which named skiko for it.
-
Jetbrains Fleet Public Preview Free Download
I was curious to give it a go but unusable on Gnome 42.5; the window lags so much that simply trying to drag to reposition it on the screen is impossible seems related an issue with Skiko and OpenGL reported here: https://github.com/JetBrains/skiko/issues/494
-
JetBrains invites developers to join the Fleet Public Preview Program
Fleet does not use Compose, but it does use Skiko[1], which also provides binding for Skia[2] (the native graphics library also used by Chrome & Flutter).
The main difference between the libraries is that Skija provides Java/JVM bindings for Skia, whereas Skiko provides Kotlin bindings for Kotlin/JVM, Kotlin/JS, and Kotlin/Native targets. Of course Skiko's Kotlin/JVM bindings can be used with other JVM languages, not just with Kotlin.
[1] https://github.com/JetBrains/skiko
[2] https://skia.org/
-
Is there a cross platform 2d graphics library with a simple API like p5
How about skiko?
-
JetBrains Fleet uses Rust! (for its system daemon)
JetBrains is moving from skija to skiko, but it could be interesting either way!
-
Jetbrains looks like it's about to release Compose ui for ios, and web!
They Merged today the functions that will be usaged on Compose for opening, closing and handling text inputs https://github.com/JetBrains/skiko/pull/455 (if I understand correctly). Currently, the examples rely on xcodegen file, based on the currently plugin that Compose has for Desktop, it provide alot of things including packaging for desktop, I think they will provide a xcodegen file automatically and use xcodegen behind the scenes to generate everything needed.
-
Compose Multiplatform for iOS
https://github.com/JetBrains/skiko (a Kotlin MPP binding for Skia). Skiko Does not contain build for iOS. Now Skiko contains build for iOS, MAC arm processor via Kotlin/Native. So we can use Skiko for pure canvas rendering in all platform. It is matter of time they release compose for iOS. So UI also goes multiplatform.
-
JetBrains Fleet: Next generation JetBrains IDE with built-in Rust support
But it does seem like the solution they're using for Fleet is different. Skia is the same graphics library used by Chromium and Flutter. I'll remain cautiously optimistic for now, but the quality of the text rendering and customization options will make or break it for me personally.
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
-
Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
-
Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
-
numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
-
New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
-
When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
compose-multiplatform - Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
javafx-examples - A large collection of JavaFX examples demonstrating basic + advanced features of JavaFX.
JWM - Cross-platform window management and OS integration library for Java
Skia - Skia is a complete 2D graphic library for drawing Text, Geometries, and Images.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
Jetpack-Compose-Playground - Community-driven collection of Jetpack Compose example code and tutorials :rocket: https://foso.github.io/compose
magicl - Matrix Algebra proGrams In Common Lisp.
update4j - Create your own auto-update framework
lish - Lisp Shell
StatsBase.jl - Basic statistics for Julia