Data Visualization

Vega-Altair – declarative statistical visualisation

Vega-Altair is a declarative visualisation library for constructing statistical graphics through the Vega-Lite specification. Instead of directly controlling every graphical element, users describe how fields in their data should be represented visually.

The library separates the meaning of a chart from many of the implementation details required to render it. Data fields can be mapped to position, colour, size and other visual properties, with Vega-Lite handling much of the resulting graphical construction.

Vega-Altair is particularly suited to exploratory statistical analysis and reproducible reporting. Individual charts can be combined into larger visualisations, while interactive selections make it possible to examine relationships between different views of the same dataset.

This is free and open source software.

Key Features

  • Declarative chart construction based on the Vega-Lite visualisation grammar.
  • Encode data fields using position, colour, size, shape and other visual channels.
  • Create point, line, bar, area, rect, text and other graphical marks.
  • Compose charts through layering, horizontal and vertical concatenation.
  • Build faceted and repeated charts for comparing subsets of data.
  • Interactive selections and parameters for filtering and highlighting observations.
  • Link interactions between different views of a dataset.
  • Apply aggregation, filtering, calculations and other data transformations within chart definitions.
  • Support quantitative, nominal, ordinal and temporal data types.
  • Customisable scales, axes, legends, colour schemes and tooltips.
  • Accept pandas DataFrames and other supported tabular data sources.
  • Produce interactive charts within Jupyter notebook environments.
  • Export charts as Vega-Lite specifications and supported graphical formats.
  • Generate standalone HTML visualisations.
  • Use reusable configuration and theming to maintain consistent visual presentation.
  • Compose interactive analytical displays without manually writing browser-side rendering code.

Website: altair-viz.github.io
Support:
Developer: Vega-Altair contributors
License: BSD 3-Clause ‘New’ or ‘Revised’ License

Altair

Vega-Altair is written in Python. Learn Python with our recommended free books and free tutorials.


Related Software

Python Visualization Packages
matplotlibPython 2D plotting library which produces publication quality figures
DiagramsDraw the cloud system architecture in Python code
BokehElegant, concise construction of versatile graphics
DashPython framework for building analytical web applications
seabornPython visualization library based on matplotlib
PlotlyInteractive, browser-based graphing library for Python
VisPyVisualize massive datasets in real time
Vega-AltairDeclarative Visualization in Python
plotnineGrammar of graphics for Python
PyQtGraphPython graphics and GUI library built on PyQt4 / PySide and numpy
bqplotInteractive Plotting Framework for the Jupyter Notebook
VaexFast visualization of big data
PyVista3D plotting and mesh analysis
foliumVisualize data in a Leaflet map
HoloViewsMake Data Analysis and Visualization Seamless
DatashaderGenerates aggregate arrays and representations of them as images
ytMulti-code Toolkit for Analyzing and Visualizing Volumetric Data
GlumpyIntuitive interface between NumPy and modern OpenGL
GeoViewsExplore and visualize geographical, meteorological, and oceanographic datasets
PygalDynamic SVG charting library
GlueMulti-dimensional linked-data exploration

Read our verdict in the software roundup.


Best Free and Open Source Software LinuxLinks helps you discover the best free and open source software for Linux. Explore our extensive collection of recommended applications, including alternatives to popular proprietary software.

We also publish software reviews, Linux tutorials, hardware reviews, free programming books and articles covering the wider open source community. Browse our Linux resources to discover more.

Know a useful free and open source Linux application we haven't covered? Suggest a program for inclusion.

Has your software been featured on LinuxLinks? Display one of our Featured on LinuxLinks badges on your website or GitHub README.
Subscribe

Please read our Comment Policy before commenting.

Notify of
guest
0 Comments
Oldest
Newest Most Voted