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Toolbit.ai
Data VisualizationPython DevelopmentWeb App Framework

Streamlit

Build interactive web apps from Python scripts in minutes

Monthly Visits: 1.3M
Free
Free Version
API Available
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Streamlit

What is Streamlit?

Streamlit turns your Python data scripts into shareable web apps without needing any web development skills. It's perfect for data scientists and analysts who want to quickly demo models or dashboards to non-technical teams. You can add interactive widgets and see updates instantly as you code, making collaboration easy.

Key Features of Streamlit

  1. 1

    Simple API

    Create apps quickly with minimal Python code and no front-end work

  2. 2

    Interactive Widgets

    Add user inputs without writing HTML, CSS, or JavaScript

  3. 3

    Auto Updates

    Apps refresh automatically when you save your source file

  4. 4

    Easy Deployment

    Deploy and share apps instantly for quick feedback

  5. 5

    Library Integration

    Works seamlessly with popular data science libraries like Pandas

Streamlit AI Tool Use Cases

  • 📊
    Build data dashboards
  • 🤖
    Demo machine learning models
  • 🔍
    Prototype web applications
  • 📈
    Visualize data insights

FAQs from Streamlit

Do I need web development experience to use Streamlit?

No, Streamlit is designed for data scientists and requires no front-end skills, allowing you to build apps in pure Python.

How quickly can I build an app with Streamlit?

You can build a basic app in minutes with just a few lines of Python code, and it updates automatically as you save.

Can I deploy Streamlit apps easily?

Yes, Streamlit allows instant deployment to share your apps with others, making it simple to collaborate and demo work.

Pros & Cons of Streamlit

Pros (4)

  • Fast development with minimal code and no web skills
  • Open-source and free to use with a simple API
  • Trusted by over 90% of Fortune 50 companies
  • Automatic updates and easy deployment for quick iterations

Cons (2)

  • Limited to Python environment, not suitable for other languages
  • Less customizable than full-stack web frameworks for complex needs

More Info About Streamlit

Who is using streamlit?

This tool is best for:

  1. Data Scientists
  2. Machine Learning Engineers
  3. Data Analysts

Streamlit's Tags

Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).

#DataScience #MachineLearning #WebDevelopment#Streamlit#PythonApps

Integrate Streamlit With These Apps

Streamlit can be integrated with these apps and services:

  • Pandas
  • Matplotlib
  • Plotly
  • TensorFlow
  • Scikit-learn

Streamlit Social Media

Visit Streamlit on social media to stay updated with the latest news and features.

Website Analytics of Streamlit

Streamlit Website Traffic & SEO Analysis:

Recent data shows that Streamlit has 1.3M monthly visits (-16.5% decrease from the previous month), 44.0% bounce rate, and average 3.76 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 17% of total traffic. SEO performance is shown by 5 tracked keywords, with "streamlit" being the top-performing keyword with 274.1K monthly searches. See below for more info.

Monthly Visits

1.3M

(-16.5%)

Pages per Visit

3.76

Bounce Rate

44.0%

Average Time on Site

3m 33s

Traffic Trend(Jul 2025 - Sep 2025)

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Top Keywords

SEO KeywordVolumeCPC
streamlit
274.1K$2.04
streamlit cloud
11.8K$2.55
stream lit
18.2K$2.18
streamlit python
10.7K$1.52
streamlit community cloud
6.0K$2.99

Traffic Sources Distribution

Traffic Share by Source

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Source Breakdown Details

SourceTraffic Share
Direct
39%
Search
51%
Social
1%
Referrals
9%

Global Traffic Distribution

Traffic Share by Country

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Geographic Breakdown Details of top 5 countries

Country NameTraffic Share
United States17%
India11%
Korea, Republic of6%
China5%
Germany4%
Analytics data is estimated (from third-party analytics providers) and for reference only.

🚀 Streamlit Launch Badge

Promote your Toolbit Launch by using the badge on your website. It can be inserted on your home page or footer easily.

How to use: Simply copy and paste the embed code into your homepage or footer HTML to display it instantly and build community support.

ToolBit badge

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