Resources

We hope to make it easier to find learning resources and projects related to Altair by listing them here. If you know of a project that should be added, please let us know by opening an Issue on GitHub.

Learning Material

This is a list of learning material that complements the official documentation and can help you learn more about how to use Altair.

Visualization Curriculum

A data visualization curriculum from the UW data group that developed Vega-Lite.

Jupyter Notebook Tutorials

Jupyter Notebook tutorials and examples from the Altair authors.

Pycon Tutorial

Altair tutorial given at PyCon 2018 by the Altair author Jake VanderPlas.

Data Visualization Course

This course covers how to create common statistical visualizations, tell stories with data, create geographical visualizations, and bring plots to life by adding interactive elements. Created at the University of British Columbia and can either be audited or taken as part of the Key Capabilities for Data Science certificate program.

Brief Introduction Videos

Calmcode provides a few videos that give a brief overview of the Altair library.

Related Projects

This is a list of projects which are directly related to Altair. There are many other packages that can be used in tandem with Altair, e.g. dashboard packages which you can read more about in the answers to this StackOverflow question.

Vega-Lite

The higher-level visualization grammar that Altair implements in Python.

vl-convert

Python library for converting Altair/Vega-Lite chart specifications into static images (SVG or PNG) or Vega chart specifications without any external dependencies.

VegaFusion

VegaFusion provides server-side scaling for Altair charts, which can accelerate interactive charts, extract transformed data, and perform data-intensive aggregations on the server and prune unused columns from the source dataset yielding smaller size visualizations.

altair_data_server

Data transformer plugin that transparently serves data for charts.

altair_pandas

Altair backend for the pandas plotting API.

vega_datasets

Offline access to the Vega datasets used in the Altair documentation.

altair_recipes

altair_recipes provides a collection of ready-made statistical graphics for Altair. See the docs.

nx_altair

nx_altair is a library for drawing NetworkX graphs using Altair. It offers a similar draw API as NetworkX but returns Altair Charts instead. This allows users to apply Altair’s rich interactive API to networks graphs. See the docs.

Altair Ally

Altair Ally is a companion package to Altair, which provides a few shortcuts to create common plots for exploratory data analysis, particularly those involving visualization of an entire dataframe.

gif

gif is the extension for Altair and matplotlib animations. The library provides a simple, high-level decorator interface to create frames in a regular for-loop that can be stitched together on save. See the docs.

Altair in R

Altair in R provides an R interface to the Altair Python package. See the docs.