gl
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gl | Chart | |
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2 | 2 | |
92 | 423 | |
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3.7 | 6.4 | |
9 days ago | 6 months ago | |
Haskell | Haskell | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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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.
gl
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3D graphics on Haskell in 2023
As other comments have pointed out, OpenGL isn't your issue: 4.6 came out in 2017 and both the low-level gl/OpenGLRaw as well as the mid-level OpenGL libraries are up to date if you check the timestamps. And yes, GLFW-b is the go-to library for creating windows across platforms.
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[Newcomer] Status of AI, graphics programming and performance in Haskell?
At this point the answer is: yes, we have some. We have sdl2 (https://hackage.haskell.org/package/sdl2), gl (https://hackage.haskell.org/package/gl), OpenGL (https://hackage.haskell.org/package/OpenGL), GLFW (https://hackage.haskell.org/package/GLFW), vulkan (https://hackage.haskell.org/package/vulkan), dear-imgui.hs (https://hackage.haskell.org/package/dear-imgui). There's certainly much more out there - this is a biased list of stuff I've either used or contributed to.
Chart
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Trying to get diagrams install/example working
So, for example, how would I get either versions of this to run with the script method? Would be nice to see ghc or ghci versions.
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[Newcomer] Status of AI, graphics programming and performance in Haskell?
Hi u/Target_Organic, I wich you a warm welcome! Haskell is often very satisfying to work with, it has a sense of beauty in it. Regarding your questions: 1. I never had big problems about performance. However, I personally place more emphasis about correctness, simplicity and readability of my programs. Performance tuning comes after. 2. For graphic libraries, I know diagrams, Reanimate and Haskell-chart. Since you seems interested by mathematical approach to graphics, I think you will find happiness there. 3. I'm not sure about the AI field. Other, more practical languages such as Python seems to have taken the lead. What is sure for me, that Machine Learning/NN would be nicely describe in Haskell with solid foundations.
What are some alternatives?
blank-canvas - A Haskell API into HTML5 Canvas
gloss - Painless 2D vector graphics, animations and simulations.
clay - A CSS preprocessor as embedded Haskell.
GPipe - Core library of new GPipe, encapsulating OpenGl and providing a type safe minimal library
Gleam - Gleam is a graphics library written in Haskell that uses the web-browser as a display. Gleam is inspired by Gloss and uses Threepenny-gui as its back-end.
OpenGL - Haskell bindings to OpenGL
FractalArt - Generate colorful wallpapers!
timeplot - Analyst's swiss army knife for visualizing data from ad-hoc log files
pictikz - Interpretes an SVG image as a graph, converting it to tikz.
reanimate - Haskell library for building declarative animations based on SVG graphics
zsh-battery - Visual bars representing battery status for zsh
Win32 - Haskell support for the Win32 API