Plotly Dash Professional, Scientific, and Technical Services Reviews & Insights

Score8 out of 10

6 Reviews and Ratings

Community insights

TrustRadius Insights for Plotly Dash are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Powerful and Intuitive Framework: Users consistently praise Plotly Dash as a powerful and intuitive framework for creating front-end web dashboards in Python. Many reviewers find it easy to pick up and create complex visualizations, thanks to the use of Flask as the back-end and React as the front-end. The versatility of Plotly Dash is highlighted by users who have used it for creating dashboards, data cleaning apps, and even entire products.

Outstanding Documentation: Reviewers appreciate the outstanding quality of Plotly Dash's documentation, which provides many examples to learn from. This comprehensive resource has proven invaluable in assisting users with their interactive and customizable visualization needs.

No Need for JavaScript or Web Development Languages: Users value the ability to develop and deploy web analytics and data science applications using Plotly Dash without having to know JavaScript, CSS, or HTML. This feature is particularly well-received among Python developers focused on data analysis since it allows them to solely rely on their Python expertise when building web apps and user interfaces.

Reviews

1 Review

Professional, Scientific, and Technical Services

Quick visualization of big data.

Rating: 6 out of 10

Incentivized

February 21, 2022

Use Cases and Deployment Scope

I used Plotly for a course I was taking at UC Berkeley that required data visualization and plots. I was looking at options and came across Plotly and tried it.

Pros

Simple codes to create quick graphs.
Nice exportable figures.
Good for the initial exploratory analysis of the data.

Cons

Difficult to set up.
Steep learning curve.
lot of codes to write.

Likelihood to Recommend

Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.

Verified User

Employee (Architecture & Planning company, 201-500 employees)

Vetted Review

1 year of experience