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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 You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs.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 Azure Data Science Virtual Machines?

Data Science Virtual Machines (DSVMs) are customized images of Azure Virtual Machines that are pre-loaded with a diverse set of crucial tools designed for tasks involving data analytics, machine learning, and artificial intelligence training. They provide a consistent environment for teams, enhancing collaboration and sharing while taking full advantage of Azure's robust management capabilities. With a rapid setup time, these VMs offer a completely cloud-based desktop environment oriented towards data science applications, enabling swift and seamless initiation of both in-person classes and online training sessions. Users can engage in analytics operations across all Azure hardware configurations, which allows for both vertical and horizontal scaling to meet varying demands. The pricing model is flexible, as you are only charged for the resources that you actually use, making it a budget-friendly option. Moreover, GPU clusters are readily available, pre-configured with deep learning tools to accelerate project development. The VMs also come equipped with examples, templates, and sample notebooks validated by Microsoft, showcasing a spectrum of functionalities that include neural networks using popular frameworks such as PyTorch and TensorFlow, along with data manipulation using R, Python, Julia, and SQL Server. In addition, these resources cater to a broad range of applications, empowering users to embark on sophisticated data science endeavors with minimal setup time and effort involved. This tailored approach significantly reduces barriers for newcomers while promoting innovation and experimentation in the field of data science.

Media

Media

Integrations Supported

F#
Julia
Kedro
Lyftrondata
Make
OpenMemory
Python
R
Tableau
ThinkData Works
Zepl
neptune.ai

Integrations Supported

Anaconda
MLflow
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft Power BI
SQL Server
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$0.005
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Plotly

Date Founded

2013

Company Location

Canada

Company Website

plotly.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/

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

AI Infrastructure

Not specified

Data Science

Not specified

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