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Bokeh

95
182
+ 1
12
MetricsGraphics.js

3
22
+ 1
2
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Bokeh vs MetricsGraphics.js: What are the differences?

What is 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.

What is MetricsGraphics.js? D3-based library optimized for visualizing time-series data. MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

Bokeh and MetricsGraphics.js can be categorized as "Charting Libraries" tools.

Some of the features offered by Bokeh are:

  • interactive visualization library
  • targets modern web browsers for presentation
  • versatile graphics

On the other hand, MetricsGraphics.js provides the following key features:

  • Line Chart
  • Multi-Line Chart
  • Few Observations

MetricsGraphics.js is an open source tool with 7.12K GitHub stars and 498 GitHub forks. Here's a link to MetricsGraphics.js's open source repository on GitHub.

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Pros of Bokeh
Pros of MetricsGraphics.js
  • 12
    Beautiful Interactive charts in seconds
  • 2
    Simple

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- No public GitHub repository available -

What is Bokeh?

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.

What is MetricsGraphics.js?

MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

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What companies use Bokeh?
What companies use MetricsGraphics.js?
See which teams inside your own company are using Bokeh or MetricsGraphics.js.
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What tools integrate with Bokeh?
What tools integrate with MetricsGraphics.js?

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What are some alternatives to Bokeh and MetricsGraphics.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.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Dash
Dash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included.
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.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
See all alternatives