vega-lite
kotlinx-knit
vega-lite | kotlinx-knit | |
---|---|---|
17 | 1 | |
4,504 | 298 | |
1.4% | 0.0% | |
9.2 | 5.0 | |
3 days ago | 5 months ago | |
TypeScript | Kotlin | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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vega-lite
- FLaNK-AIM Weekly 06 May 2024
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Ask HN: What's the best charting library for customer-facing dashboards?
I like Vega-Lite: https://vega.github.io/vega-lite/
Itβs built by folks from the same lab as D3, but designed as βa higher-level visual specification language on top of D3β [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
- Vega-Lite β A Grammar of Interactive Graphics
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Vega-Altair: Declarative Visualization in Python
Box zoom would need to be added to Vega-Lite first, and there has been some discussion around it in https://github.com/vega/vega-lite/issues/4742. Bottom line is that there's nothing blocking its implementation, someone just needs to do the work in Vega-Lite. And once released in Vega-Lite, Altair would pick it up automatically with how we generate the Altair API from the Vega-Lite schema.
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Gnuplotlib: Non-Painful Plotting for NumPy
I also have difficulties with Gnuplot and Matplotlib. I like Vega that allows me to create visualisations in a declarative way. If I really need something special I go with d3.js, which had a really steep learning curve but with ChatGPT it should have become easier for beginners.
[1] https://vega.github.io/vega-lite/
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Elixir Livebook is a secret weapon for documentation
To ensure you do not miss this: LiveBook comes with a Vega Lite integration (https://livebook.dev/integrations -> https://livebook.dev/integrations/vega-lite/), which means you get access to a lot of visualisations out of the box, should you need that (https://vega.github.io/vega-lite/).
In the same "standing on giant's shoulders" stance, you can use Explorer (see example LiveBook at https://github.com/elixir-explorer/explorer/blob/main/notebo...), which leverages Polars (https://www.pola.rs), a very fast DataFrame library and now a company (https://www.pola.rs/posts/company-announcement/) with 4M$ seed.
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Observable Plot: The JavaScript library for exploratory data visualization
Nice, would be nice to have it integrated in GitHub markdown.
Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations.
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[AskJS] Javascript statistics library with period selection
Vega-lite can do this https://vega.github.io/vega-lite/
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2022 FIFA World Cup finishing position probability per team [OC]
The underlying data is from an online betting site. Data analysis was done in Python and I used Vega/Altair for the visualisation.
kotlinx-knit
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Elixir Livebook is a secret weapon for documentation
That sounds about right. The approach I'm working on won't allow you to embed runnable code in your docs. Instead, it requires you to write your documentation in Kotlin e.g. using a Markdown DSL where source code from the codebase can be included in the output. I'm working on a separate project to programmatically generate file trees and Docusaurus doc sites in code.
I'm not aware of anything exactly like Livebook in the Kotlin ecosystem but you might be interested in kotlinx-knit which takers a more incremental approach to executable documentation:
https://github.com/Kotlin/kotlinx-knit
What are some alternatives?
graphic-walker - An open source alternative to Tableau. Embeddable visual analytic
livebook - Automate code & data workflows with interactive Elixir notebooks
vega-tooltip - Tooltip Plugin for Vega-Lite
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
py4cl2 - Call python from Common Lisp
mdx - Execute code blocks inside your documentation
plot - A vega-lite DSL for Common Lisp
bumblebee - Pre-trained Neural Network models in Axon (+ π€ Models integration)
lightning - High performance, interactive statistical graphics engine for the web.
notebooks - A collection of Livebook notebooks
plot - A node library to display charts in popup windows and save them as pngs. Supports observablehq/plot, vega-lite and plotly out of the box.
kapshot - Kotlin Compiler Plugin for source capture