Streamlit

What is Streamlit?

Streamlit is a Python library that allows you to create and deploy web applications for data science and machine learning projects.

Added on May 30 2023

Belongs to Website. Over 352 monthly visits.

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Website Traffic

Last Month's Visits:
352 (-98)
Last 3 Month's Visits:
802 (75)
Last 6 Month's Visits:
1.1K (167)
Total Visitors
Visitors Growth

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Streamlit : Reviews, Pricing, Core features, Use cases, alternatives
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How to install?

How to use Streamlit?

To use Streamlit, you need to install it using pip and then create a Python script with the desired functionality. You can then run the script using the 'streamlit run' command, which opens a web browser displaying your application.

Streamlit's Core Features

Easy-to-use and intuitive web development framework
Real-time app updates without manual refresh
Built-in support for interactive widgets
Automatic caching for faster performance
Seamless integration with popular data science libraries
User-friendly interface for data exploration and visualization

Streamlit's Use Cases

#1 Building interactive and customizable data dashboards
#2 Creating machine learning prototypes and demos
#3 Sharing and collaborating on data science projects
#4 Deploying data science applications to production

Streamlit Traffic

Visit Over Time

Monthly Visits
< 5K
Avg.Visit Duration
00:00:00
Page per Visit
0.00
Bounce Rate
0.00%
Feb 2023 - Mar 2024 All Traffic

Geography

Top 1 Regions

Poland
100.00%
Feb 2023 - Mar 2024 Desktop Only

FAQ from Streamlit

Can I use Streamlit with languages other than Python?
Does Streamlit require prior knowledge of web development?
Can I deploy Streamlit apps to cloud platforms?
Is Streamlit suitable for large-scale applications?