fractal-jax VS rootsMapPython

Compare fractal-jax vs rootsMapPython and see what are their differences.

fractal-jax

Generate images of the Julia and Mandelbrot sets with Jax. (by flpgrz)

rootsMapPython

Fractals made from complex roots of all possible polynomials of certain degree (12 - 24) and small set of complex coefficients (2 or 3), littlewood polynomials included (by weightan)
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fractal-jax rootsMapPython
1 2
2 5
- -
10.0 1.8
over 1 year ago over 2 years ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fractal-jax

Posts with mentions or reviews of fractal-jax. We have used some of these posts to build our list of alternatives and similar projects.

rootsMapPython

Posts with mentions or reviews of rootsMapPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

What are some alternatives?

When comparing fractal-jax and rootsMapPython you can also consider the following projects:

Hilbert-Curve-space-filling-with-pygame - Hilbert Curve Fractal with pygame (python)

Melvin.py - A user-friendly framework for building GPU-accelerated spectral simulations of 2-dimensional computational fluid dynamics problems.

color-stealing - Adding color to binary fractals by stealing it

cvnn - Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

dragon-curve - Dragon Curve made in Python

numberphile-chaosgame - Recreation & the Extension of the behaviour shown in Numberphile's "Chaos Game"

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.