<\/strong>Streamlit is an open-source Python library that lets you build interactive web applications directly from Python scripts, without needing HTML, CSS, or JavaScript, making it ideal for beginners who want to turn data or logic into visual, shareable apps quickly.<\/p>\n\n\n\n
What is Streamlit in Python?<\/strong><\/h2>\n\n\n\n![\"What](\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/What-Is-Streamlit-in-Python_@2x-1200x630.webp\" "\\"\\"")
<\/figure>\n\n\n\nStreamlit was launched in 2019 as a tool for data scientists and developers<\/strong> to create web apps using only Python. Streamlit<\/a> is an open-source Python framework used to build interactive web applications directly from Python scripts.<\/p>\n\n\n\nIn simple terms:<\/p>\n\n\n\n
\n- You write Python<\/a> code<\/li>\n\n\n\n
- Streamlit runs it<\/li>\n\n\n\n
- That code instantly becomes a web app<\/li>\n<\/ul>\n\n\n\n
You don\u2019t design pages. You don\u2019t manage routes. You don\u2019t worry about frontend frameworks. You focus on logic and data<\/strong>, and Streamlit handles the UI layer for you.<\/p>\n\n\n\nIts core idea is that \u201capps were just scripts\u201d<\/em>: you don\u2019t need to learn HTML<\/a>\/JS \u2013 instead, you write Python code and Streamlit turns it into an interactive webpage. <\/p>\n\n\n\nWhy Use Streamlit?<\/strong><\/h2>\n\n\n\n![\"Why](\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/Why-Use-Streamlit_-1200x630.webp\" "\\"\\"")
<\/figure>\n\n\n\nYou might ask, \u201cWhy would I use Streamlit instead of just writing a script or notebook?\u201d<\/em> The biggest advantages are interactivity<\/strong> and simplicity<\/strong>. With Streamlit, your Python script instantly becomes a web app with minimal effort.<\/p>\n\n\n\n\n- Instant visual feedback:<\/strong> When you run a Streamlit app, any code that draws charts or writes output is shown live in the browser. You can place text, plots, data tables, and widgets on it using st. commands.
<\/li>\n\n\n\n- Automatic updates:<\/strong> Streamlit watches for changes. Whenever you edit and save your script (or a user manipulates a widget), Streamlit will rerun the entire script<\/em> from the top. This reactive flow ensures the app UI is always up-to-date with the code.
<\/li>\n\n\n\n- Built-in components:<\/strong> Streamlit comes with many ready-made UI elements for data apps. This includes layout helpers, text formatting, charts, images, and widgets (sliders, buttons, file uploaders, etc.).
<\/li>\n\n\n\n- No web framework needed:<\/strong> Unlike general web frameworks, you don\u2019t have to set up routes, HTML templates, or styling. One of Streamlit\u2019s selling points is that you can \u201cbuild interactive web apps using only Python\u201d<\/em>.
<\/li>\n\n\n\n- Easy sharing and deployment:<\/strong> Once an app is written, you can share it as easily as sharing code. Streamlit offers a free community cloud<\/strong> where you push your GitHub repo and deploy with one click.
<\/li>\n\n\n\n- Great Community: <\/strong>Streamlit\u2019s community and adoption have grown rapidly. By late 2021, it had millions of users and downloads. In fact, by 2021 it saw 4.5 million downloads<\/strong> and 16,000 stars on GitHub<\/strong>; by 2023 it reported over 20,000 GitHub stars<\/strong> and 10 million app views<\/strong>, with companies like Uber, Spotify, NASA, and WHO using it.<\/li>\n<\/ul>\n\n\n\n
In short, Streamlit is popular because it lets you<\/em> go from Python script to a shareable interactive app in minutes, all with minimal effort. <\/p>\n\n\n\nIf you want to read more about how Python works and its use cases, consider reading HCL GUVI\u2019s Free Python eBook<\/a>: A Beginner’s Guide to Coding & Beyond, which covers the key concepts of Python, including OOPs, File Handling, and even database connectivity.<\/p>\n\n\n\nGetting Started with Streamlit<\/strong><\/h2>\n\n\n\n![\"Getting](\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/Getting-Started-with-Streamlit-1200x630.webp\" "\\"\\"")
<\/figure>\n\n\n\nGetting started is very simple. <\/p>\n\n\n\n
1. Install Streamlit. <\/strong><\/h3>\n\n\n\nIn a terminal or command prompt, run:<\/p>\n\n\n\n
pip install streamlit<\/code><\/p>\n\n\n\nThis installs the Streamlit library (along with its dependencies) into your Python environment. It works with any Python setup (virtualenv, Conda, etc.).<\/p>\n\n\n\n
2. Write a Streamlit script. <\/strong><\/h3>\n\n\n\nCreate a new Python file (e.g. app.py). At the top, import Streamlit: import streamlit as st. Then you can use Streamlit commands in that script to build your interface. For example:<\/p>\n\n\n\n
import streamlit as st\n\nst.title(\"My First Streamlit App\")\n\nst.write(\"Hello, welcome to my app!\")\n\nx = st.slider(\"Select a value\", 0, 100, 50)\n\nst.write(f\"You selected {x}\")<\/code><\/pre>\n\n\n\nEach st. function adds something to the page. In this snippet, st.title sets a large title, st.write displays text, and st.slider creates an interactive slider. (We\u2019ll explain more of these commands below.)<\/p>\n\n\n\n
3. Run your app. <\/strong><\/h3>\n\n\n\nIn the terminal, navigate to the directory of your script and type:<\/p>\n\n\n\n
streamlit run app.py<\/code><\/p>\n\n\n\nThis command starts a local web server and opens your app in the browser. You should see the title, text, and slider from the code above. Try moving the slider and notice that the page updates the selected value. Under the hood, Streamlit reruns your script each time you change something. You can stop the app by pressing Ctrl+C in the terminal.<\/p>\n\n\n\n
4. Develop interactively. <\/strong><\/h3>\n\n\n\nWith the app running, edit app.py in your editor (for example, change the title or add more widgets) and save. Streamlit will usually ask \u201cRerun app?\u201d \u2013 click \u201cAlways rerun\u201d (or it may auto-update). Your changes appear almost instantly in the browser. <\/p>\n\n\n\n
This tight feedback loop is a major feature: one doc notes that you \u201ctype some code, save it, try it out live, then type some more code, save it, try it out\u201d.<\/p>\n\n\n\n
<\/figure>\n\n\n\nStreamlit was launched in 2019 as a tool for data scientists and developers<\/strong> to create web apps using only Python. Streamlit<\/a> is an open-source Python framework used to build interactive web applications directly from Python scripts.<\/p>\n\n\n\n In simple terms:<\/p>\n\n\n\n You don\u2019t design pages. You don\u2019t manage routes. You don\u2019t worry about frontend frameworks. You focus on logic and data<\/strong>, and Streamlit handles the UI layer for you.<\/p>\n\n\n\n Its core idea is that \u201capps were just scripts\u201d<\/em>: you don\u2019t need to learn HTML<\/a>\/JS \u2013 instead, you write Python code and Streamlit turns it into an interactive webpage. <\/p>\n\n\n\n You might ask, \u201cWhy would I use Streamlit instead of just writing a script or notebook?\u201d<\/em> The biggest advantages are interactivity<\/strong> and simplicity<\/strong>. With Streamlit, your Python script instantly becomes a web app with minimal effort.<\/p>\n\n\n\n In short, Streamlit is popular because it lets you<\/em> go from Python script to a shareable interactive app in minutes, all with minimal effort. <\/p>\n\n\n\n If you want to read more about how Python works and its use cases, consider reading HCL GUVI\u2019s Free Python eBook<\/a>: A Beginner’s Guide to Coding & Beyond, which covers the key concepts of Python, including OOPs, File Handling, and even database connectivity.<\/p>\n\n\n\n Getting started is very simple. <\/p>\n\n\n\n In a terminal or command prompt, run:<\/p>\n\n\n\n This installs the Streamlit library (along with its dependencies) into your Python environment. It works with any Python setup (virtualenv, Conda, etc.).<\/p>\n\n\n\n Create a new Python file (e.g. app.py). At the top, import Streamlit: import streamlit as st. Then you can use Streamlit commands in that script to build your interface. For example:<\/p>\n\n\n\n Each st. function adds something to the page. In this snippet, st.title sets a large title, st.write displays text, and st.slider creates an interactive slider. (We\u2019ll explain more of these commands below.)<\/p>\n\n\n\n In the terminal, navigate to the directory of your script and type:<\/p>\n\n\n\n This command starts a local web server and opens your app in the browser. You should see the title, text, and slider from the code above. Try moving the slider and notice that the page updates the selected value. Under the hood, Streamlit reruns your script each time you change something. You can stop the app by pressing Ctrl+C in the terminal.<\/p>\n\n\n\n With the app running, edit app.py in your editor (for example, change the title or add more widgets) and save. Streamlit will usually ask \u201cRerun app?\u201d \u2013 click \u201cAlways rerun\u201d (or it may auto-update). Your changes appear almost instantly in the browser. <\/p>\n\n\n\n This tight feedback loop is a major feature: one doc notes that you \u201ctype some code, save it, try it out live, then type some more code, save it, try it out\u201d.<\/p>\n\n\n\n\n
Why Use Streamlit?<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\n\n
<\/li>\n\n\n\n
<\/li>\n\n\n\n
<\/li>\n\n\n\n
<\/li>\n\n\n\n
<\/li>\n\n\n\nGetting Started with Streamlit<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\n1. Install Streamlit. <\/strong><\/h3>\n\n\n\n
pip install streamlit<\/code><\/p>\n\n\n\n2. Write a Streamlit script. <\/strong><\/h3>\n\n\n\n
import streamlit as st\n\nst.title(\"My First Streamlit App\")\n\nst.write(\"Hello, welcome to my app!\")\n\nx = st.slider(\"Select a value\", 0, 100, 50)\n\nst.write(f\"You selected {x}\")<\/code><\/pre>\n\n\n\n3. Run your app. <\/strong><\/h3>\n\n\n\n
streamlit run app.py<\/code><\/p>\n\n\n\n4. Develop interactively. <\/strong><\/h3>\n\n\n\n
![\"Tips](\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/03\/Tips-and-Best-Practices-For-Using-Streamlit-in-Python-1200x630.webp\" "\\"\\"")
<\/figure>\n\n\n\n