Altair is a beautiful feature-rich GraphQL Client IDE for all platforms. Available for MacOS, Windows, Linux, Chrome, Firefox. It enables you interact with any GraphQL server you are authorized to access from any platform you are on.
electron chrome-extension graphql-client graphql fragments data angular opensource database ngrx express-middleware graphql-server graphql-subscriptions graphiql desktop-apps hacktoberfest altair graphql-editor graphql-ide fossa-status wysiwyg editor clientThis project showcases how you can use fastpages to create a static dashboard that update regularly using Jupyter Notebooks. Using fastpages, data professionals can share dashboards (that are updated with new data automatically) without requiring any expertise in front end development. The content of this site shows statistics and reports regarding Covid-19.
github-pages data-science jupyter analytics nteract data-visualisation matplotlib pymc3 fastai altair papermill github-actions covid-19 covid19 covid-data fastpagesHow to use the Altair data visualization library to create an array of area charts.
data-visualization altair jupyter-notebooks journalismJuptyer Notebooks with Altair Examples
gehlenborglab visualization altairGo ahead and give these notebooks a try. This repository has collections of nteract notebooks to try out on Binder. Click the link of an individual example or the language heading for a bundle of notebooks.
nteract notebooks binder mybinder plotly vegalite altair geojson exampleThe goal of altair is to help you build Vega-Lite visualizations. Using the reticulate package, it provides an interface to the Altair Python package. This approach is distinct from efforts to build a native R interface to Vega-Lite, by Bob Rudis and coworkers: the vegalite package, which has inspired this effort. In this documentation, the capitalized word Altair shall refer to the Python package; the lower-case word altair shall refer to this R package.
r vega-lite altair reticulate interactive visualizationIn Dash's built-in dash_core_components library, the dcc.Graph component uses standard Plotly figures. Dash’s component plugin system provides a toolchain to create Dash components from any JavaScript-based library. dash-alternative-viz is a proof-of-concept Dash component library that provides Dash interfaces to Altair, matplotlib (or any compatible system like Seaborn, Pandas.plot, Plotnine and others!), Bokeh (with or without HoloViews), and HighCharts.
highcharts seaborn vega vega-lite bokeh matplotlib altair holoviews plotly-dash🐉 Here be dragons. This is a proof of concept. Making Vega-Lite selection created by user interactions available in Python. Works with Altair.
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