Bokeh - Interactive Data Visualization in the browser, from Python

  •        150

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. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.

It works in Python close to all the PyData tools you are already familiar with. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks.

https://bokeh.org/
https://github.com/bokeh/bokeh

Tags
Implementation
License
Platform

   




Related Projects

Chartify - Python library that makes it easier for data scientists to create charts

  •    Python

Chartify is a Python library that aims to make it as easy as possible for data scientists to create charts. Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

bokeh-notebooks - Interactive Web Plotting with Bokeh in IPython notebook

  •    Jupyter

Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients. These Jupyter notebooks provide useful Bokeh examples and a tutorial to get started. You can visualize the rendered Jupyter notebooks on NBViewer or download the repository and execute jupyter notebook from your terminal.

chart-fx - A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points

  •    Java

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.

holoviews - Stop plotting your data - annotate your data and let it visualize itself.

  •    Python

Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting.

Matplotlib - Python 2D plotting library

  •    Python

Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell (à la MATLAB or Mathematica), web application servers, and various graphical user interface toolkits.


rbokeh - R interface to Bokeh http://hafen.github.io/rbokeh/

  •    R

A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library. Please see here.

Openchart2 - Simple Plotting for Java

  •    Java

Openchart2 is based on the JOpenChart library. It provides a simple interface for Java programmers to create two-dimensional charts and plots. This library features an assortment of graph styles, including advanced scatter plots, bar graphs, pie charts, Radar charts, Dot plots. All chart types support dynamic zooming. Simple arrays or full database sources can provide data to the plotting routines.

ECharts - A Declarative Framework for Rapid Construction of Web-based Visualization

  •    Javascript

ECharts is a powerful charting and visualization library offering an easy way of adding intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library. ECharts-GL is an extension pack of ECharts, which provides 3D plots, globe visualization and WebGL acceleration.

muze - Composable data visualisation library for web with a data-first approach now powered by WebAssembly

  •    Javascript

Muze is a free data visualization library for creating exploratory data visualizations (like Tableau) in browser, using WebAssembly. It uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It is ideal for use in visual analytics dashboards & applications to create highly performant, interactive, multi-dimensional, and composable visualizations. 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.

ApexCharts.js - A modern JavaScript charting library to build interactive charts and visualizations with simple API

  •    Javascript

ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is flexible and responsive - making your charts work on desktops, tablets as well as mobiles. It is interactive Zoom, Pan, Scroll through data, toggle datasets visibility in multiple series. The dynamic nature of ApexCharts allows you to load data on selections and create other charts based on those selections.

Orson Charts - A 3D chart library for Java applications (JavaFX, Swing or server-side)

  •    Java

Orson Charts is a 3D chart library for the Java(tm) platform that can generate a wide variety of 3D charts for use in client-side applications (JavaFX and Swing) and server-side applications (with export to PDF, SVG, PNG and JPEG).

f2 - πŸ“±πŸ“ˆAn elegant, interactive and flexible charting library for mobile.

  •    Javascript

F2 is born for mobile, developed for developers as well as designers. It is Html5 Canvas-based, and is also compatible with Node.js, Weex and React Native. Based on the grammar of graphics, F2 provides all the chart types you'll need. Our mobile design guidelines enable better user experience in mobile visualzation projects. Special thanks to Leland Wilkinson, the author of The Grammar Of Graphics, whose book served as the foundation for F2 and G2.

Bokeh - Statistical plots for Python

  •    CoffeeScript

Statistical plots for Python

react-vis - Data-Visualization oriented components

  •    Javascript

A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.Install react-vis via npm.

plotly.py - An interactive, browser-based graphing library for Python :sparkles:

  •    Python

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on plot.ly.

gramm - Gramm is a complete data visualization toolbox for Matlab

  •    Matlab

Gramm is a powerful plotting toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab. Gramm is a data visualization toolbox for Matlab that allows to produce publication-quality plots from grouped data easily and flexibly. Matlab can be used for complex data analysis using a high-level interface: it supports mixed-type tabular data via tables, provides statistical functions that accept these tables as arguments, and allows users to adopt a split-apply-combine approach (Wickham 2011) with rowfun(). However, the standard plotting functionality in Matlab is mostly low-level, allowing to create axes in figure windows and draw geometric primitives (lines, points, patches) or simple statistical visualizations (histograms, boxplots) from numerical array data. Producing complex plots from grouped data thus requires iterating over the various groups in order to make successive statistical computations and low-level draw calls, all the while handling axis and color generation in order to visually separate data by groups. The corresponding code is often long, not easily reusable, and makes exploring alternative plot designs tedious.

Kibana - Analytics and search dashboard for Elasticsearch

  •    Javascript

Kibana provides flexible analytics and visualization platform for Elasticsearch. It understands large volume of data and easily create bar charts, line and scatter plots, histograms, pie charts, and maps. It can provide real-time summary and charting of streaming data. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

pdvega - Interactive plotting for Pandas using Vega-Lite

  •    Python

pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas dataframes, using an API that is nearly identical to Pandas' built-in visualization tools, and designed for easy use within the Jupyter notebook. The above image is a static screenshot of the interactive output; please see the Documentation for a full set of live usage examples.

techan

  •    Javascript

A visual, technical analysis and charting library built on D3. Build interactive financial charts for modern and mobile browsers. TechanJS utilises D3's reusable chart API pattern and currently supports a range of static and interactive plots.






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.