hvega: Create Vega-Lite visualizations (version 3) in Haskell.

[ bsd3, graphics, library ] [ Propose Tags ]

This is based on the elm-vegalite package (http://package.elm-lang.org/packages/gicentre/elm-vegalite/latest) by Jo Wood of the giCentre at the City University of London.

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Change log CHANGELOG.md
Dependencies aeson (>=0.11 && <1.5), aeson-pretty (==0.8.*), base (>=4.9 && <5), bytestring, directory, filepath, hvega, text (==1.2.*), unordered-containers (==0.2.*), vector (>=0.11 && <0.13) [details]
License BSD-3-Clause
Copyright 2018-2019 Douglas Burke
Author Douglas Burke
Maintainer dburke.gw@gmail.com
Category Graphics
Home page https://github.com/DougBurke/hvega
Bug tracker https://github.com/DougBurke/hvega/issues
Source repo head: git clone https://github.com/DougBurke/hvega
Uploaded by DouglasBurke at 2019-12-24T14:08:51Z
Distributions LTSHaskell:, NixOS:, Stackage:
Executables playtutorial
Downloads 7338 total (111 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2019-12-24 [all 1 reports]


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Create Vega-Lite visualizations in Haskell. It targets version 3 of the Vega-Lite specification. Note that the module does not include a viewer for these visualizations (which are JSON files), but does provide several helper functions, such as toHtmlFile, which create HTML that can be viewed with a browser to display the visualization. Other approaches include automatic display in IHaskell notebooks - with the ihaskell-vega package - or use of external viewers such as Vega View and Vega-Desktop.

It started off being a copy on an early version (2.2.1) of the Elm Vega library, which is released under a BSD3 license by Jo Wood of the giCentre at the City University of London.

This code is released under the BSD3 license.


let cars =  dataFromUrl "https://vega.github.io/vega-datasets/data/cars.json" []

    enc = encoding
            . position X [ PName "Horsepower", PmType Quantitative ]
            . position Y [ PName "Miles_per_Gallon", PmType Quantitative ]
            . color [ MName "Origin", MmType Nominal ]

    bkg = background "rgba(0, 0, 0, 0.05)"

in toVegaLite [ bkg, cars, mark Circle [], enc [] ]

When viewed with a Vega-Lite aware viewer, the resultant plot is

Simple scatterplot


A tutorial is provided as part of the module: it is based, as is so much of the module, on the Elm Vega walk through. The tutorial is available on hackage - and includes the plot outputs - and the plots it creates are also available by importing the Graphics.Vega.Tutorials.VegaLite module.

The Vega-Lite Example Gallery has been converted to an IHaskell notebook Unfortunately the plots created by VegaEmbed do not always appear in the notebook when viewed with either GitHub's viewer or ipynb viewer, but things seem much better when using Jupyter Lab (rather than notebook) to create the notebooks (since Vega is natively supported in this environment). The notebooks have been re-created using Jupyter Lab (thanks to Tweag I/O's JupyterWith environment), which should make the plots appear on GitHub (you may need to reload the notebooks as I find they don't display on the first try).

The notebooks directory contains a poorly-curated set of examples and experiments with hvega.

Differences to Elm Vega

Elm Vega has changed significantly since I started hvega, and no-longer exposes data types directly but uses functions instead: for example, rather than PName, it uses a function like pName. It is an open question whether hvega will make the same switch. Over time the naming of certain operations or data types has diverged between hevga and Elm Vega.

One of the more-obvious changes is that the output of toVegaLite is a separate type from the input values - that is VegaLite and VLSpec - since it makes it easier to display the output of hvega in IHaskell. The JSON specification is retrieved from this type with fromVL.