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About Streamlit

Streamlit is an open-source app framework from Streamlit Inc. designed for data science and machine learning projects. It provides tools for building interactive web applications with Python, facilitating data visualization and presentation. Streamlit includes easy-to-use APIs, real-time updates, and customizable components so users can quickly create and share data applications. It allows developers to integrate popular libraries like Pandas and Matplotlib directly into their apps. Key capabilities: rapid development interactive UI components customizable layouts integration with Python libraries real-time data updates Best for: data scientists and machine learning engineers that need to present data insights and create interactive applications efficiently.

Streamlit Details

Vendor
Streamlit Inc.
Year Launched
2018
Location
San Francisco, California
Deployment
cloud
Training Options
documentation, videos, community
Countries Served
All Countries
Languages
English
Users
data scientists, software engineers, and web developers in automotive, finance, technology, and other sectors.
Industries Served
Primarily serves data science, machine learning, and AI industries.
Tags
Data apps, Python, machine learning, data science, interactive apps.

Streamlit's In-App Market Place

Does Streamlit have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Not specified

Pros & Cons

  • Ease of Use: Simple API for quick app development.
  • Interactivity: Rich interactive widgets.
  • Real-time Updates: Automatic updates with code changes.
  • Community Support: Strong community and extensive documentation.
  • Free to Use: No cost for the core framework.
  • Performance: May not be suitable for very large datasets.
  • Dependency Management: Requires managing Python dependencies.
  • Learning Curve: Some learning curve for non-Python users.
  • Deployment: Advanced deployment options may require additional setup.

Streamlit's Support Options

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