Databricks Widgets: Building Interactive Data Applications

📰 Medium · Data Science

Learn to build interactive data applications using Databricks Widgets, making your work reproducible and user-friendly

intermediate Published 22 Apr 2026
Action Steps
  1. Create a new Databricks notebook and add input controls using Widgets
  2. Use the four types of Widgets (e.g. dropdowns, text boxes) to parameterize your code
  3. Read input values from Widgets in your Python, SQL, Scala, or R code
  4. Automate your notebook by running it with different parameter values
  5. Share your interactive notebook with others for collaboration and feedback
Who Needs to Know This

Data engineers and data scientists can benefit from using Databricks Widgets to create interactive and reproducible notebooks, improving collaboration and automation

Key Insight

💡 Databricks Widgets enable you to add input controls to your notebooks, making them reproducible, user-friendly, and ready for automation

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📊 Make your data notebooks interactive with Databricks Widgets! 📈

Key Takeaways

Learn to build interactive data applications using Databricks Widgets, making your work reproducible and user-friendly

Full Article

Title: Databricks Widgets: Building Interactive Data Applications

URL Source: https://medium.com/@krthiak/databricks-widgets-building-interactive-data-applications-3d3c659328e8?source=rss------data_science-5

Published Time: 2026-04-22T21:11:01Z

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# Databricks Widgets: Building Interactive Data Applications | by Karthik | Apr, 2026 | Medium

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# Databricks Widgets: Building Interactive Data Applications

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In the world of data engineering and data science, static notebooks can be limiting. You often need to run the same logic with different parameters; perhaps a different date range, a specific country, or a unique customer ID.

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Instead of manually editing code blocks, **Databricks Widgets** allow you to add input controls (like dropdowns and text boxes) to the top of your notebook. This makes your work reproducible, user-friendly, and ready for automation.

## 1. What are Databricks Widgets?

Widgets are UI elements that reside at the top of a notebook. They act as “input variables” that can be read by your Python, SQL, Scala, or R code.

## The Four Types of Widgets:

1.
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