lightning-haskell alternatives and similar packages
Based on the "Web" category.
Alternatively, view lightning-haskell alternatives based on common mentions on social networks and blogs.
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swagger-petstore
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
servant
Main repository for the servant libraries — DSL for describing, serving, querying, mocking, documenting web applications and more! -
haskell-bitmex-rest
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
neuron
Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote) -
tagsoup
Haskell library for parsing and extracting information from (possibly malformed) HTML/XML documents -
keera-hails-reactive-htmldom
Keera Hails: Haskell on Rails - Reactive Programming Framework for Interactive Haskell applications -
ghcjs-dom
Make Document Object Model (DOM) apps that run in any browser and natively using WebKitGtk -
ghcjs-base
base library for GHCJS for JavaScript interaction and marshalling, used by higher level libraries like JSC
InfluxDB - Power Real-Time Data Analytics at Scale
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
lightning-haskell
Haskell client for lightning-viz server.
Getting Started
In order to use this package, a lightning-viz server will need to be available. If you are using Mac OS X, there is a stand-alone application you can install: Stand-Alone OS X Application.
For installation on other platforms, please see the installation guide in the lightnig-viz documentation.
Available Visualizations
- Adjacency - A sparse adjacency matrix visualiazation.
- Circle - A circular graph from connectivity data.
- Force - A force-directed network visualization from connectivity.
- Graph - A node-link graph from spatial points and their connectivity.
- Graph Bundled - A bundled node-link graph visualization.
- Histogram - A distribution of values visualization.
- Line - Visualize one-dimensional series.
- Streaming Line - Visualize streaming one-dimensional series as updating lines.
- Map - A chloropleth map of the World or United States.
- Matrix - A heat map of the given matrix.
- Scatter - A scatter plot visualization.
- Scatter 3D - A 3D scatter plot visualization.
- Streaming Scatter - A streaming scatter plot.
- Volume - A visualization of a collection of images as a three-dimensional volume.
Basic Usage
All visualizations must be associated with a session. One can either use an existing session or create a new one. Sessions can either be named or un-named. If you choose not to provide a name, a name will be automatically generated.
Create Visualization Using New Session
viz <- runLightning $ linePlot def { lpSeries = [[1,2,3]] }
Create Visualization Using Named Session
let opts = setSessionName "My Session" defaultLightningOptions
viz <- runLightningWith opts $ linePlot def { lpSeries = [[1,2,3,4]] }
Create Multiple Visualizations In One Session
{-# LANGUAGE OverloadedStrings #-}
import Control.Monad.IO.Class
import qualified Data.Text.IO as T
import qualified Data.Text as T
import Web.Lightning
import Web.Lightning.Plots
import Web.Lightning.Types
main :: IO (Either (APIError LightningError) ())
main = runLightning $ do
lpViz <- linePlot def { lpSeries = [[1,2,3]] }
spViz <- scatterPlot def { spX = [1,2,3], spY = [4,1,2] }
liftIO $ T.putStrLn $ T.concat [vizId lpViz, ", ", vizId spViz]
Acknowledgements
- The monad transformer stack was based off of the stack found here: reddit API.
- A fair amount of the code documentation was borrowed from the lightning-viz Python client.