rigel-viz alternatives and similar packages

Based on the "Scientific" category.
Alternatively, view rigel-viz alternatives based on common mentions on social networks and blogs.

roshask

9.3 0.0 rigel-viz VS roshask

Haskell client library for the ROS robotics framework.
QIO

9.1 0.0 rigel-viz VS QIO

The Quantum IO Monad, implemented in Haskell

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analyze

7.8 0.0 rigel-viz VS analyze

making data science easy and safe with data frames in haskell
dynobud

7.7 0.0 rigel-viz VS dynobud

your dynamic optimization buddy
NXT

6.4 0.0 rigel-viz VS NXT

A Haskell interface to Lego Mindstorms NXT over Bluetoooth. It supports direct commands, messages and many sensors (also unofficial).
astro

6.1 2.6 rigel-viz VS astro

Amateur astronomical computations
hstats

5.3 0.0 rigel-viz VS hstats

Statistical Computing in Haskell
banwords

4.2 0.0 rigel-viz VS banwords

DISCONTINUED. Generalized word blacklister
quantum-random

3.8 0.0 rigel-viz VS quantum-random

Retrieve, store and manage real quantum random numbers from Australian National University
fits-parse

2.8 6.3 rigel-viz VS fits-parse

Parse FITS files for Astronomy data analysis.
igrf

1.3 0.0 rigel-viz VS igrf

International Geomagnetic Reference Field
HsWebots

1.0 0.0 rigel-viz VS HsWebots

Webots bindings for Haskell

Do you think we are missing an alternative of rigel-viz or a related project?

README

Rigel (also called Beta Orionis) is the seventh-brightest star in the night sky

A (mid-level, simplified, opinionated) Haskell wrapper for vega-lite, currently targeting version 3 of the vega-lite schema.

mid-level :
- types which can take one of a few possible values are represented by sum types, not by strings.
- glyph colours are encoded via the colour Haskell library.
simplified : the generated vega-lite JSON is not normalized, i.e. has some redundancies. This reflects the internal representation but also makes it easier to reason "locally" (i.e. code sections don't visibly exploit inheritance from higher layers).
opinionated : part of the vega-lite API is not used at all. For example, there is no support for data preprocessing (e.g. summarization etc.). This forces the user to use the host language for preprocessing, which is bound to be more expressive and robust.