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 You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs.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

Pricing

Free Version:
Free Version available.

Screenshots and Video

Company Facts

Company Name:
Plotly
Date Founded:
2013
Company Location:
Canada
Company Website:
plotly.com
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Product Details

Deployment
SaaS
Windows
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Plotly Dash Categories and Features

Embedded Analytics Software

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management

Data Visualization Software

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Data Science Software

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Plotly Dash Customer Reviews

Write a Review
  • Reviewer Name: Shishir D.
    Position: Senior Financial Analyst
    Has used product for: Less than 6 months
    Uses the product: Weekly
    Org Size (# of Employees): 20,000 or More
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Great to deploy and visualize apps

    Date: Sep 07 2021
    Summary

    Can build in hours and deploy in minutes. Love the user-friendly commands. Also plays well with Heroku and Streamlit. Aptly called the front end of the ML coding world!

    Positive

    I am a rookie Python developer and even people like me can easily deploy and maintain ML models and apps.

    Negative

    No cons as of now. It is very easy to use and understand.

    Read More...
  • Reviewer Name: A Verified Reviewer
    Position: Marketer
    Has used product for: Free Trial
    Uses the product: Weekly
    Org Size (# of Employees): 1 - 25
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    A superb data visualization tool!

    Date: Aug 01 2020
    Summary

    I have used Plotly for creating several illustrations using the data I had saved in excel sheets. It did its job beautifully every time.

    Positive

    - Plotly creates really beautiful graphs and charts. It's much more presentable and pleasing to the eye than something made with Excel.

    Negative

    - The fact that it is a paid software can be a deal-breaker for some people like students etc. They still have a free version though.

    Read More...
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