It can be used for interactive blog posts and embedded animations etc as well.

It also has a built in animation editor / timeline.

https://github.com/motion-canvas/motion-canvas

The entire Manim CE Logo example, the `x - x_1` text from the Brace Annotation example, all text from the Sin Cos Plot example, and the entire Heat Diagram example all flicker roughly once per second.

The text looks rather fuzzy, especially the large M from the Manim CE Logo example.

The Three D Light Source example also doesn't appear to have any functioning directional lighting.

(Being AI accelerated doesn't make this project low value. But it does mean _you_ didn't do the port so much as prompt it)

Tried the live demo and the 3D orbit scene is surprisingly smooth. Curious about a couple things:

- How are you handling the animation interpolation? Manim's rate functions (smooth, there_and_back, etc.) have some quirks that are easy to get subtly wrong. Did you reimplement those from scratch or find a way to match the Python easing curves exactly? - For the py2ts converter — how far does it get on real-world scripts? I have a few older Manim CE scripts with custom VMobjects and I'm wondering if it handles subclassing or if it's more of a "simple scenes only" thing.

One suggestion: it'd be really useful to have an export-to-GIF or export-to-MP4 option directly in the browser (maybe via MediaRecorder API). A lot of the Manim use case is generating assets for slides/posts, not just live playback.

However, I use Manim for maths, for me having computational libraries (python) is a requirement. Most of the transformations that I do are found by using linear algebra, calculus and sometimes full neural networks. All my geometry is computed, not placed by hand.

I'm wondering if it would not be possible to have a 'canvas' backend for the web in the python version instead.

Btw, Manim is kind of easy to install in its own docker ;)

I'm far more into the web than python and have wanted something I could drop into a web page.