Is it possible to design dashboards in python?

let's find out!

Is it possible to design dashboards in python? let's find out!

By Shariq Ansari


Why have dashboards become so important today? In today’s data-driven environment, there are dozens of dynamic factors in your business that impact your overall performance. Dashboards summarize these events with easy-to-understand, real-time data visuals. Users need real-time results that are obtained by extracting value from all the data collected (KPIs).


Every business can benefit from having a dashboard that aligns with their objectives, and at WonderBiz we have built Industrial Dashboards for our clients from around the world. With every client specifying their own set of technology stacks and objectives, we've along the way delivered dashboards using multiple languages, including one that's underutilized, i.e., Python.


Python tends to get typecast as the go-to language for Machine Learning today, and understandably so, because of its ever-growing libraries sculpted for Data Sciences. One of its libraries, Plotly, has a hidden feature that many are unaware about, and that's Dash.

Dash is a progressive Python framework focused on programming new-age web analytic apps.


Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It's best suited for professionals/students who have experience with data analysis in Python.


Through a couple of simple patterns, Dash can keep aside all of the technologies and protocols that are required to build an interactive web-based dashboard. It's simple enough that you can bind a user interface around your Python code in an afternoon.


Dash apps are rendered in the web browser. Developers can then deploy your Plotly web app to a server and then share the URL with any user/client. Also, Dash apps are platformed on your web browser, which means it is inherently cross-platform and device-responsive.

Traditional BI dashboards are no longer optimal for multiplying ROI and efficiency in today's automation-driven world. Complex requirements of futuristic sectors like renewable energy, quantum computing, driverless transportation need applications that possess enterprise-grade quality along with ease of scalability and production. And Dash is able to achieve this without the developer having to acquire extensive knowledge about front-end development.


We utilized Dash for an Industrial Predictive Maintenance POC to find out the Remaining Useful Life (RUL) for Ball Bearings in electric motors. And Dash's compatibility to provide real-time updates through multiple graphical representations in a very short period of time was what surprised us. Our ML Engineers were able to construct the dashboard as per their requirements and experiment with the outcome comfortably, cutting down the need to involve the Front-End team.


The POC, especially the graphical representations, impressed our client as we were able to convey Bearing statistics in a user friendly form, that any decision maker could easily understand.


With the Python community growing, and Plotly expanding functionalities in Dash through its Enterprise version, we can expect Python to play a big role in Business Intelligence Dashboard creation as companies would prefer switching to a single language for both Data Analysis and Representation for a seamless experience.

By Shariq Ansari


Why have dashboards become so important today? In today’s data-driven environment, there are dozens of dynamic factors in your business that impact your overall performance. Dashboards summarize these events with easy-to-understand, real-time data visuals. Users need real-time results that are obtained by extracting value from all the data collected (KPIs).


Every business can benefit from having a dashboard that aligns with their objectives, and at WonderBiz we have built Industrial Dashboards for our clients from around the world. With every client specifying their own set of technology stacks and objectives, we've along the way delivered dashboards using multiple languages, including one that's underutilized, i.e., Python.


Python tends to get typecast as the go-to language for Machine Learning today, and understandably so, because of its ever-growing libraries sculpted for Data Sciences. One of its libraries, Plotly, has a hidden feature that many are unaware about, and that's Dash.

Dash is a progressive Python framework focused on programming new-age web analytic apps.


Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It's best suited for professionals/students who have experience with data analysis in Python.


Through a couple of simple patterns, Dash can keep aside all of the technologies and protocols that are required to build an interactive web-based dashboard. It's simple enough that you can bind a user interface around your Python code in an afternoon.


Dash apps are rendered in the web browser. Developers can then deploy your Plotly web app to a server and then share the URL with any user/client. Also, Dash apps are platformed on your web browser, which means it is inherently cross-platform and device-responsive.

Traditional BI dashboards are no longer optimal for multiplying ROI and efficiency in today's automation-driven world. Complex requirements of futuristic sectors like renewable energy, quantum computing, driverless transportation need applications that possess enterprise-grade quality along with ease of scalability and production. And Dash is able to achieve this without the developer having to acquire extensive knowledge about front-end development.


We utilized Dash for an Industrial Predictive Maintenance POC to find out the Remaining Useful Life (RUL) for Ball Bearings in electric motors. And Dash's compatibility to provide real-time updates through multiple graphical representations in a very short period of time was what surprised us. Our ML Engineers were able to construct the dashboard as per their requirements and experiment with the outcome comfortably, cutting down the need to involve the Front-End team.


The POC, especially the graphical representations, impressed our client as we were able to convey Bearing statistics in a user friendly form, that any decision maker could easily understand.


With the Python community growing, and Plotly expanding functionalities in Dash through its Enterprise version, we can expect Python to play a big role in Business Intelligence Dashboard creation as companies would prefer switching to a single language for both Data Analysis and Representation for a seamless experience.

Welcome to WonderBiz where we develop industry 4.0 Solutions for Global Leaders to multiply their Operating Profit. Multinational Organizations automate their DevOps with our Software Products.

Orion Business Park, 6XCG+QWC, Ghodbunder Rd, Kapurbawdi, Thane West, Thane, Maharashtra 400607, India

Welcome to WonderBiz where we develop industry 4.0 Solutions for Global Leaders to multiply their Operating Profit. Multinational Organizations automate their DevOps with our Software Products.

Orion Business Park, 6XCG+QWC, Ghodbunder Rd, Kapurbawdi, Thane West, Thane, Maharashtra 400607, India