VectorMation is an entirely vector-based math-oriented animation engine. It allows for immensely compact representations of animations (using SVGs).
VectorMation also provides an alternative for manim. The reason I started this project were some pet peeves about manim (like the coordinate system, the timing of animations, the immense amount of functions and not being able to export to SVG).
pip install vectormation
After installation, the below python code should animate a simple spiral being drawn:
from vectormation.objects import *
# Initialize the animation frame
canvas = VectorMathAnim(save_dir='svgs/simple', width=1000, height=1000)
canvas.set_background()
# Draw the objects
point = Dot()
trace = Trace(point.c, stroke_width=5)
point.c.set(start=0, end=5, lambda t: (t*80 + 500, 500))
point.c.rotate_around(0, 5, pivot_point=(500, 500), degrees=360*4)
# Add the objects to the canvas
canvas.add_objects(trace, point)
# Display the window
canvas.standard_display(fps=60)
Look through the examples to get a sense of how to use the library.
Documentation is in progress at jorisperrenet.github.io/VectorMation.
The code to generate the below SVG can be found in examples/code_explanation.py
All attributes are functions of time, after evaluating these functions at a certain time we get precise information about the object, combining all objects then results in the frame at that time. Repeatedly doing this for different times gives a video, which can be displayed using an SVG-viewer.
This method allows for very precise and low-level alterations to objects, it all boils down to changing functions of attributes.
These are generally included in the code itself, there is, however a main idea to add the ability to use this for (math) presentations. Implementing this, the animation script will automatically stop at certain moments and wait for a keyevent to continue.
Also, at the moment it is not possible to directly export the animation to a regular video.