reanimate VS manim

Reanimate sounds almost ideal, with its support for LaTeX. But unfortunately, it is all rendered in batch, not providing for any interactivity.

Is this the discussion you're referring to? https://github.com/reanimate/reanimate/discussions/210

It's actually pretty interesting to read. The author makes a not totally unreasonable argument as for why it uses unsafePerformIO.

Now what I'm really curious about is why the very first example on the site I clicked into the source code for, a simple 59-line example, is using unsafePerformIO. That actually worries me more because it suggests that as a user I might have to use unsafePerformIO. https://github.com/reanimate/reanimate/blob/d4d3898831edb4aa...

Not really dashboard library, but reanimate is a good library for this kind of stuff.

Some other "applications" (if you're not interested in compilers) might be writing shell scripts: https://hackage.haskell.org/package/turtle Or animating stuff: https://github.com/reanimate/reanimate and https://hackage.haskell.org/package/gloss

That aside, it seems that svg-tree doesn’t support filter elements, so I recommend reanimate-svg. You can join the Discord server for Reanimate and ask for help. Good luck.

See also reanimate, a very similar Haskell library: https://reanimate.github.io/

This is very niche, but something I've wanted to do for a while is to generate some cool physics example on the surface of a sphere with https://hackage.haskell.org/package/hamilton, and display it with https://reanimate.github.io/ (using https://hackage.haskell.org/package/linear for the projection)

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.

There's manim [1] from YouTuber 3blue1brown. And while it doesn't work on the web, there is a port [2] that does, which runs on p5.js. If you want a bit more control, you can use a canvas animation library directly. A few popular ones are p5, GreenSock, and PixiJS--but there are so many others. For simpler animations and for the most control over the result, it's pretty rewarding to just use the built-in Canvas API [3] directly.

[1] https://github.com/3b1b/manim

[2] https://github.com/JazonJiao/Manim.js/

[3] https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API/...

That is definitely one of the things he does better than most. He actually wrote a custom library for math animations: https://github.com/3b1b/manim

Not quite what you're looking for, but worth pointing out that Grant Sanderson of 3Blue1Brown has published the "framework" he uses for his math videos on GitHub.

https://github.com/3b1b/manim

3b1b uses a python library for creating those videos.

https://github.com/3b1b/manim

Manim, 3b1b's animation library is open source: https://github.com/3b1b/manim

Coming to motion design, this rumour takes of due to the fact that there are programming libraries like Manim and Motion-Canvas which are actually used to generate animations from code. You can search 3Blue1Brown channel on youtube.

It kinda looks like this: https://github.com/3b1b/manim, but that would be a crazy usage of it. Wondering if they’re compositing Manim with a more traditional animation suite.