Bokeh

Bokeh

Bokeh simplifies the creation of various plots while accommodating specialized use cases, making it ideal for data scientists and developers. Its interactive tools enable users to explore data in-depth and visualize results through web pages or Jupyter notebooks. Coupled with Python’s analytics ecosystem, Bokeh enhances data presentation and user engagement.

Top Bokeh Alternatives

1

Matplotlib

Matplotlib offers a robust platform for generating a wide range of visualizations in Python, from static plots to complex interactive displays.

2

statsmodels

Statsmodels is a Python module designed for estimating a variety of statistical models, performing hypothesis tests, and exploring data.

3

Material Design Lite

Material Design Lite (MDL) badge component enhances user interfaces with unobtrusive notifications.

4

PrimeNG

PrimeNG X (v10) revolutionizes UI development with its PrimeOne Design Architecture, offering a suite of over 80 Angular components.

5

DataViewsJS

DataViewsJS is a versatile component library that empowers developers to present and manipulate data effortlessly within JavaScript applications.

6

NetworkX

This Python package enables users to create and manipulate complex networks, offering a suite of tools for analyzing network structure, dynamics, and functions.

7

ComponentOne

It features high-performance datagrids, dynamic charts, intuitive reporting tools, and powerful document APIs...

8

Flowbite

It includes essential components such as buttons, alerts, and navigation bars, along with interactive features...

9

SpreadJS

Its robust features include over 500 functions, charting capabilities, and seamless Excel I/O, making it...

10

InterBase and Firebird Data Access Components

IBDAC optimizes database application performance without relying on additional data provider layers, supporting advanced features...

11

daisyUI

This innovative approach significantly reduces the number of utility classes needed, resulting in cleaner, more...

12

dbExpress Drivers

Supporting major databases like Oracle, MySQL, and PostgreSQL, these drivers ensure high-performance connectivity without requiring...

13

Bit

This scalable solution enhances collaboration, promotes consistent design systems, and facilitates cross-project integration, enabling a...

14

GDAL

Released under an MIT-style Open Source License, it offers a unified abstract data model for...

15

Zeroheight

By centralizing styles, guidelines, and components, it fosters collaboration among designers and engineers, streamlining workflows...

Top Bokeh Features

  • Custom and specialized plots
  • Interactive “what if” scenarios
  • Support for Jupyter notebooks
  • Integration with PyData tools
  • Custom JavaScript capabilities
  • Efficient streaming APIs
  • Clean presentation for users
  • Bootstrap for responsive dashboards
  • Easy embedding methods
  • Live tutorial notebooks on MyBinder
  • BSD licensed and GitHub hosted
  • Community-driven exploratory analysis
  • Support for Flask and Django
  • Interactive visualization tools for research
  • Polished web apps with Panel
  • Smart defaults in Chartify
  • Multiple image visualization in Mistic
  • Bayesian model diagnostics in ArviZ
  • Dedicated nonprofit sponsorship
  • Real-time data visualization capabilities
Top Bokeh Alternatives
  • Matplotlib
  • statsmodels
  • Material Design Lite
  • PrimeNG
  • DataViewsJS
  • NetworkX
  • ComponentOne
  • Flowbite
  • SpreadJS
  • InterBase and Firebird Data Access Components
  • daisyUI
  • dbExpress Drivers
  • Bit
  • GDAL
  • Zeroheight
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