Streamlit

2
5
0 Reviews
2 Saved
Introduction:
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
Monthly Visitors:
--
Social & Email:
--
Streamlit Product Information

What is Streamlit?

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

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

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?

Streamlit Reviews (0)

5 point out of 5 point
Would you recommend Streamlit?Leave a comment
0/10000

Analytic of Streamlit

Streamlit Website Traffic Analysis

Visit Over Time

Monthly Visits
--
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

Streamlit Launch embeds

Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.

Light
Neutral
Dark
Streamlit : Reviews, Pricing, Core features, Use cases, alternatives
Copy embed code
How to install?