ipysigma
vega_lite
ipysigma | vega_lite | |
---|---|---|
2 | 2 | |
176 | 174 | |
6.8% | 3.4% | |
6.3 | 6.0 | |
7 months ago | about 1 month ago | |
Jupyter Notebook | Elixir | |
MIT License | Apache License 2.0 |
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ipysigma
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Vega-Altair: Declarative Visualization in Python
https://github.com/medialab/ipysigma
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[OC] How Apple Names Things
I made this using Apple trademark dataand ipysigma in a Jupyter notebook. The code is up on Github.
vega_lite
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Vega-Altair: Declarative Visualization in Python
I love Vega(-lite) / Altair, the grammar of graphics plotting system is really great to build any kind of chart even when it wasn't thought through by the authors of the library. There are other wrappers for languages that lack viz libraries, such as Elixir / Livebook [0]
However, when I used it a couples years back it struggled with large vizs, I think due to Vega(-lite)'s way of embedding the data in the viz artifact.
Also, interactive is nice but often I just need a quick static plot, and matplotlib is more convenient for this, you can easily see the png in any environment etc.
These days I'm eager to see an Observable Plot [1] wrapper for Python !
[0] https://github.com/livebook-dev/vega_lite
[1] https://github.com/observablehq/plot
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Bumblebee: GPT2, Stable Diffusion, and More in Elixir
When working with livebook the usual library for graphics/plotting is vega_lite.
https://github.com/livebook-dev/vega_lite
What are some alternatives?
appleTM - How Apple Names Things
axon - Nx-powered Neural Networks
nx_signal - DSP with Elixir Nx
meow - Multi-population evolutionary algorithms with support for GPU and distributed computing
scholar - Traditional machine learning on top of Nx