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https://github.com/joaopalmeiro/awesome-vega

:chart_with_upwards_trend: Resources leveraging and to leverage the Vega ecosystem.
https://github.com/joaopalmeiro/awesome-vega

List: awesome-vega

altair awesome awesome-list data-visualization javascript python vega vega-lite

Last synced: about 1 month ago
JSON representation

:chart_with_upwards_trend: Resources leveraging and to leverage the Vega ecosystem.

Host: GitHub
URL: https://github.com/joaopalmeiro/awesome-vega
Owner: joaopalmeiro
License: cc0-1.0
Created: 2020-01-24T11:02:04.000Z (over 4 years ago)
Default Branch: main
Last Pushed: 2021-08-02T22:42:37.000Z (about 3 years ago)
Last Synced: 2024-05-23T07:06:54.068Z (4 months ago)
Topics: altair, awesome, awesome-list, data-visualization, javascript, python, vega, vega-lite
Language: JavaScript
Homepage:
Size: 133 KB
Stars: 3
Watchers: 3
Forks: 0
Open Issues: 13
Metadata Files:
- Readme: readme.md
- Contributing: contributing.md
- License: LICENSE
- Code of conduct: code-of-conduct.md

Awesome Lists containing this project

ultimate-awesome - awesome-vega - :chart_with_upwards_trend: Resources leveraging and to leverage the Vega ecosystem. (Other Lists / PowerShell Lists)

README

        # Awesome Vega [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

[](https://vega.github.io/)

> :chart_with_upwards_trend: Resources leveraging and to leverage the [Vega](https://vega.github.io/) ecosystem.

[Vega](https://vega.github.io/) is a declarative language for describing and creating interactive data visualizations. The description (known by _specification_) of both the visual appearance and the interactive behaviour of a visualization is done in a JSON format. This way, Vega provides a broad set of building blocks that allows you to plan and build flexible visualizations.

## Contents

- [Official](#official)

- [Vega and Vega-Lite](#vega-and-vega-lite)

- [Altair](#altair)

- [Wrappers](#wrappers)

## Official

- [Altair documentation](https://altair-viz.github.io/)

- [Altair repository](https://github.com/altair-viz/altair)

- [Vega repository](https://github.com/vega/vega)

- [Vega website](https://vega.github.io/)

## Vega and Vega-Lite

### Packages

- [tfjs-vis](https://github.com/tensorflow/tfjs/tree/master/tfjs-vis) - Integrated visualization API for [TensorFlow.js](https://github.com/tensorflow/tfjs).

- [justcharts](https://github.com/koaning/justcharts) - Vega-Lite charts in an HTML file.

### Blog posts

- [React and Vega: An Alternative Visualization Example](https://medium.com/@pbesh/react-and-vega-an-alternative-visualization-example-cd76e07dc1cd) - Example of interactive and linked charts with React, Redux, and Vega ([repo](https://github.com/pbeshai/linked-highlighting-react-vega-redux)).

- [Creating Interactive Visualizations Should Be Easier](https://medium.com/visumd/creating-interactive-visualizations-should-be-easier-137212ef1fb1)

- [The W&B Machine Learning Visualization IDE](https://wandb.ai/wandb/posts/reports/The-W-B-Machine-Learning-Visualization-IDE--VmlldzoyNjk3Nzg)

### Papers

- [Learning Vis Tools: Teaching Data Visualization Tutorials](https://arxiv.org/abs/1907.08796) - Altair and Vega-Lite are two of the tools used.

## Altair

### Packages

- [altair-latimes](https://github.com/datadesk/altair-latimes) - Los Angeles Times theme.

- [altair_recipes](https://github.com/piccolbo/altair_recipes) - Chart templates (or types).

- [hueniversitypy](https://github.com/UBC-MDS/hueniversitypy) - Canadian university themes.

- [nx_altair](https://github.com/Zsailer/nx_altair) - [NetworkX](https://networkx.org/) graphs with Altair.

- [whatlies](https://github.com/RasaHQ/whatlies) - Visualization of word embeddings with Altair ([paper](https://arxiv.org/abs/2009.02113)).

- [Lux](https://github.com/lux-org/lux) - Auto EDA.

- [carbonplan-styles](https://github.com/carbonplan/styles) - Two themes (one light and one dark) for Altair (and Matplotlib).

- [husky_theme](https://github.com/deppen8/husky-altair-theme) - Theme based on the University of Washington [brand](https://www.washington.edu/brand/).

- [gif](https://github.com/maxhumber/gif) - GIFs from Altair/Matplotlib/Plotly charts.

- [Starborn](https://github.com/PythonCharmers/starborn) - Chart templates (or types).

- [altair-catplot](https://github.com/justinbois/altair-catplot) - Chart templates (or types).

- [Altair Ally](https://github.com/joelostblom/altair_ally) - EDA.

### Notebooks

- [upset-altair-notebook](https://github.com/hms-dbmi/upset-altair-notebook) - Implementation and example of the [UpSet](https://jku-vds-lab.at/tools/upset/) chart.

### Blog posts

- [Consistently Beautiful Visualizations with Altair Themes](https://towardsdatascience.com/consistently-beautiful-visualizations-with-altair-themes-c7f9f889602)

### Papers

- [Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence](https://arxiv.org/abs/2002.04803) - Altair is one of the tools mentioned for (interactive) Data Visualization.

## Wrappers

- [Visdown](https://github.com/amitkaps/visdown) - Markdown (Vega/Vega-Lite).

- [Vegas](https://github.com/vegas-viz/Vegas) - Scala (Vega-Lite).

- [XVega](https://github.com/QuantStack/xvega) - C++ (Vega-Lite).

- [Smile](https://github.com/haifengl/smile) - Scala (Vega-Lite).

- [Deneb](https://github.com/deneb-viz/deneb) - Power BI (Vega/Vega-Lite).

- [altair](https://github.com/vegawidget/altair) - R (Altair).

- [Vega.jl](https://github.com/queryverse/Vega.jl) - Julia (Vega).

- [VegaLite.jl](https://github.com/queryverse/VegaLite.jl) - Julia (Vega-Lite).

- [VegaDatasets.jl](https://github.com/queryverse/VegaDatasets.jl) - Julia (Vega Datasets).

- [hvega](https://github.com/DougBurke/hvega) - Haskell (Vega-Lite).

- [elm-vega](https://github.com/gicentre/elm-vega) - Elm (Vega).

- [elm-vegaLite](https://github.com/gicentre/elm-vegaLite) - Elm (Vega-Lite).

- [vega_lite_3](https://github.com/procyon-rs/vega_lite_3.rs) - Rust (Vega-Lite).

- [vega_lite_4](https://github.com/procyon-rs/vega_lite_4.rs) - Rust (Vega-Lite).

- [vega](https://github.com/ankane/vega) - Ruby (Vega/Vega-Lite).

## Contributing

Contributions welcome! Read the [contribution guidelines](contributing.md) first.