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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Bokeh vs Muze

Bokeh vs Muze

OverviewComparisonAlternatives

Overview

Bokeh
Bokeh
Stacks95
Followers183
Votes12
GitHub Stars20.2K
Forks4.2K
Muze
Muze
Stacks7
Followers50
Votes0
GitHub Stars1.2K
Forks41

Bokeh vs Muze: What are the differences?

Bokeh: *An interactive visualization library *. It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications; Muze: Tableau-Like Data Visualizations in JavaScript. Muze is a data visualization library which uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.

Bokeh and Muze belong to "Charting Libraries" category of the tech stack.

Muze is an open source tool with 1.03K GitHub stars and 27 GitHub forks. Here's a link to Muze's open source repository on GitHub.

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Detailed Comparison

Bokeh
Bokeh
Muze
Muze

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

Muze is a data visualization library which uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.

interactive visualization library ; versatile graphics ; open source; https://github.com/bokeh/bokeh
-
Statistics
GitHub Stars
20.2K
GitHub Stars
1.2K
GitHub Forks
4.2K
GitHub Forks
41
Stacks
95
Stacks
7
Followers
183
Followers
50
Votes
12
Votes
0
Pros & Cons
Pros
  • 12
    Beautiful Interactive charts in seconds
No community feedback yet
Integrations
Bootstrap
Bootstrap
Flask
Flask
NGINX
NGINX
React
React
Django
Django
Python
Python
Jupyter
Jupyter
Tornado
Tornado
Streamlit
Streamlit
No integrations available

What are some alternatives to Bokeh, Muze?

D3.js

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

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