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Description

Components designed for global use and accessibility are available to all. Thorough testing has been conducted to guarantee both performance and reliability. The APIs are intuitive and exhibit consistent behavior across various platforms. Developers are equipped with tools to create their own custom components that adhere to widely accepted interaction patterns. These components can be tailored while still complying with the guidelines of the Material Design specification. Created by the Angular team, they are designed to integrate effortlessly with Angular applications. Whether starting anew or incorporating them into existing projects, the process is seamless. To begin, focus on setting up the autocomplete panel along with the options that will populate it. Each option can be represented using a mat-option tag, with its value property assigned to whatever you wish the text input to reflect when that option is chosen. Additionally, this flexibility allows for a highly customizable user experience.

Description

Bokeh simplifies the creation of standard visualizations while also accommodating unique or specialized scenarios. It allows users to publish plots, dashboards, and applications seamlessly on web pages or within Jupyter notebooks. The Python ecosystem boasts a remarkable collection of robust analytical libraries such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV. With its extensive selection of widgets, plotting tools, and user interface events that can initiate genuine Python callbacks, the Bokeh server serves as a vital link, enabling the integration of these libraries into dynamic, interactive visualizations accessible via the browser. Additionally, Microscopium, a project supported by researchers at Monash University, empowers scientists to uncover new functions of genes or drugs through the exploration of extensive image datasets facilitated by Bokeh’s interactive capabilities. Another useful tool, Panel, which is developed by Anaconda, enhances data presentation by leveraging the Bokeh server. It streamlines the creation of custom interactive web applications and dashboards by linking user-defined widgets to a variety of elements, including plots, images, tables, and textual information, thus broadening the scope of data interaction possibilities. This combination of tools fosters a rich environment for data analysis and visualization, making it easier for researchers and developers to share their insights.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Angular
Google Maps
JavaScript
Material Design
Python

Integrations

Angular
Google Maps
JavaScript
Material Design
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Angular

Website

material.angular.io

Vendor Details

Company Name

Bokeh

Website

bokeh.org

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Product Features

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