Plotly Dash Reviews & Ratings

Plotly Dash

4.5 out of 5 stars

Ratings and Reviews 2 Ratings

Total 4.5 out of 5 stars
ease 5 out of 5 stars
features 4.5 out of 5 stars
design 5 out of 5 stars
support 4.5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is Plotly Dash?

Dash and Dash Enterprise empower users to create and distribute analytic web applications utilizing Python, R, or Julia, eliminating the need for JavaScript or DevOps expertise. Leading companies worldwide leverage AI, machine learning, and Python analytics, achieving remarkable results at a significantly lower expense compared to traditional full-stack development. Dash serves as their solution. Applications and dashboards capable of executing sophisticated analyses, including natural language processing, forecasting, and computer vision, can be efficiently delivered. You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs. Dash enables rapid deployment and updates of applications without requiring a dedicated IT or DevOps team. Furthermore, you can design visually stunning web apps and dashboards without any need for CSS coding. Kubernetes simplifies scaling processes, and the platform also ensures high availability for essential Python applications, making it an ideal choice for businesses looking to enhance their analytical capabilities. Overall, Dash and Dash Enterprise revolutionize the way organizations approach analytics and application development.

What is Bokeh?

Bokeh streamlines the creation of standard visualizations while also catering to specific and unique needs. It provides users the ability to share plots, dashboards, and applications either on web platforms or directly within Jupyter notebooks. The Python ecosystem is rich with a variety of powerful analytical tools, such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV, among many others. Featuring an extensive array of widgets, plotting options, and user interface events that activate real Python callbacks, the Bokeh server is essential for linking these tools to dynamic and interactive visualizations displayed in web browsers. Moreover, the Microscopium initiative, led by researchers at Monash University, harnesses Bokeh's interactive features to assist scientists in uncovering new functionalities of genes or drugs by allowing them to explore extensive image datasets. Another significant tool in this ecosystem is Panel, which focuses on producing polished data presentations and operates on the Bokeh server, enjoying support from Anaconda. Panel simplifies the process of building custom interactive web applications and dashboards by effortlessly connecting user-defined widgets to a variety of components, including plots, images, tables, or text. This seamless integration not only enhances the overall user experience but also cultivates an atmosphere that promotes effective data-driven decision-making and thorough exploration of complex datasets. Ultimately, the combination of these tools empowers users to engage with their data in innovative and meaningful ways.

Media

Media

Integrations Supported

Python
Comet
F#
Julia
Lyftrondata
MATLAB
Make
NVIDIA RAPIDS
OpenMemory
R
Spotfire
Tableau
ThinkData Works
Voxel51
Zepl
data.world
navio
neptune.ai
skills.ai

Integrations Supported

Python
JavaScript

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Plotly

Date Founded

2013

Company Location

Canada

Company Website

plotly.com

Company Facts

Organization Name

Bokeh

Company Website

bokeh.org

Categories and Features

Component Libraries

Not specified

Data Science

Not specified

Data Visualization

Analytics
Dashboard Creation
Simulation Models

Embedded Analytics

Not specified

Categories and Features

Component Libraries

Not specified

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