{"libraries":[{"id":"altair","name":"Altair","language":"python","framework":"none","version":"5.2.0","documentation_url":"https://altair-viz.github.io","description":"Declarative visualization library for Python. Its simple, friendly and consistent API, built on top of the powerful Vega-Lite grammar, empowers you to spend less time writing code and more time exploring your data."},{"id":"echarts","name":"Apache ECharts","language":"javascript","framework":"none","version":"5.5.1","documentation_url":"https://echarts.apache.org","description":"Powerful, interactive charting and data-visualization library for the browser. Apache-licensed, Canvas/SVG rendering, an enormous catalog of chart types."},{"id":"bokeh","name":"Bokeh","language":"python","framework":"none","version":"3.4.0","documentation_url":"https://bokeh.org","description":"Interactive visualization library that makes it simple to create common plots, while also handling custom or specialized use-cases. Work in Python close to all the PyData tools you're already familiar with."},{"id":"chartjs","name":"Chart.js","language":"javascript","framework":"none","version":"4.4.7","documentation_url":"https://www.chartjs.org","description":"Simple yet flexible HTML5-canvas charting. The most popular open-source JavaScript charting library; eight core chart types, responsive, animated."},{"id":"d3","name":"D3.js","language":"javascript","framework":"none","version":"7.9.0","documentation_url":"https://d3js.org","description":"Data-Driven Documents. The low-level standard for bespoke, SVG-based data visualization on the web — bind data to the DOM and apply data-driven transformations. Maximum control, steep curve."},{"id":"ggplot2","name":"ggplot2","language":"r","framework":"none","version":"3.5.1","documentation_url":"https://ggplot2.tidyverse.org","description":"The de facto standard for data visualization in R. ggplot2 is an implementation of the grammar of graphics: declarative, layered charts that compose with a small set of primitives (geoms, aesthetics, scales, facets, themes)."},{"id":"highcharts","name":"Highcharts","language":"javascript","framework":"none","version":"12.6.0","documentation_url":"https://www.highcharts.com","description":"The industry-standard JavaScript charting library for finance, news, and BI dashboards — SVG-rendered, endlessly flexible, battle-tested. Commercial license, free for non-commercial use."},{"id":"letsplot","name":"lets-plot","language":"python","framework":"none","version":"4.5.0","documentation_url":"https://lets-plot.org","description":"Multiplatform plotting library built on the principles of the Grammar of Graphics. A faithful adaptation of R's ggplot2 that extends Grammar of Graphics principles to both Python and Kotlin."},{"id":"makie","name":"Makie.jl","language":"julia","framework":"none","version":"0.22","documentation_url":"https://docs.makie.org","description":"High-performance, extensible visualization ecosystem for Julia. CairoMakie renders publication-quality static PNG/SVG/PDF; GLMakie/WGLMakie handle interactive use. anyplot uses CairoMakie for the static gallery."},{"id":"matplotlib","name":"Matplotlib","language":"python","framework":"none","version":"3.9.0","documentation_url":"https://matplotlib.org","description":"Comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible."},{"id":"muix","name":"MUI X Charts","language":"javascript","framework":"react","version":"7.29.1","documentation_url":"https://mui.com/x/react-charts/","description":"Charting components for the MUI (Material UI) React ecosystem. The community @mui/x-charts package (MIT) covers bar, line, pie, scatter and more. anyplot uses only the MIT community surface; Pro/Premium features are out of scope."},{"id":"plotly","name":"Plotly","language":"python","framework":"none","version":"5.18.0","documentation_url":"https://plotly.com/python","description":"Python graphing library that makes interactive, publication-quality graphs. Create line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, and more."},{"id":"plotnine","name":"plotnine","language":"python","framework":"none","version":"0.13.0","documentation_url":"https://plotnine.org","description":"A grammar of graphics for Python. Data visualization package based on the grammar of graphics, a coherent system for describing and building graphs. From ad-hoc plots to publication-ready figures."},{"id":"pygal","name":"Pygal","language":"python","framework":"none","version":"3.0.0","documentation_url":"http://www.pygal.org","description":"Beautiful python charting. Simple python charting library that creates SVG charts that are both beautiful and easy to customize."},{"id":"seaborn","name":"Seaborn","language":"python","framework":"none","version":"0.13.0","documentation_url":"https://seaborn.pydata.org","description":"Python data visualization library based on matplotlib. Provides a high-level interface for drawing attractive and informative statistical graphics."}]}