Plotly Dash

The original low-code framework for building data apps.

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Overview

Dash is an open-source framework for building data visualization interfaces with Python. It is built on top of Plotly.js, React, and Flask, and it allows you to build modern, interactive web applications with just a few lines of Python code. Dash is ideal for data scientists and engineers who want to build and deploy data-driven applications without having to learn front-end web development.

✨ Key Features

  • Open source
  • Python-based framework
  • Interactive data visualizations
  • Customizable components
  • Enterprise-ready features

🎯 Key Differentiators

  • Python-based framework makes it easy for data scientists to build web applications.
  • Highly customizable and extensible.
  • Enterprise-ready features for deployment and management.

Unique Value: Provides a powerful and flexible framework for building analytical web applications with Python.

🎯 Use Cases (4)

Data science dashboards Machine learning applications Scientific research Financial modeling

✅ Best For

  • Building an interactive dashboard to visualize the results of a machine learning model.
  • Creating a web application to explore and analyze a large dataset.
  • Developing a custom data visualization for a scientific publication.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Non-technical users who are not comfortable with Python.
  • Simple, ad-hoc data visualization.

🏆 Alternatives

Streamlit R Shiny Tableau

Offers more flexibility and control than Streamlit, but may have a steeper learning curve. More modern and easier to use than R Shiny.

💻 Platforms

Web

🔌 Integrations

Pandas NumPy Scikit-learn Jupyter

🛟 Support Options

  • ✓ Email Support
  • ✓ Dedicated Support (Dash Enterprise tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source version is free to use.

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