Streamlit Extras in Python
Last Updated :
23 Jul, 2025
In this article we will introduce ourselves with the Streamlit-extras module, which can easily give some special touch to our Streamlit apps with the least amount of code possible.
What is streamlit-extras module?
Streamlit-extras is a special module that builds upon the traditional Streamlit module. It uses the abilities of the Streamlit module and adds some 'extra' features to it. It takes the help of some underlying HTML, CSS and JS, but developers just needs to write Python code to use all of it's features. Some of it's most usable features will be discussed here today.
Required Modules
We will be using two modules here, streamlit and streamlit-extras. To install both of them using pip write the following command in the terminal.
pip install streamlit
pip install streamlit-extras
Creating a simple Streamlit WebApp
Python3
import streamlit as stm
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
Firstly we are importing the module streamlit with alias stm, then giving a page title using the set_page_config() method of streamlit module, user can give any page title they want. The name will be visible in the Title Bar tab at the top. Then using title() method to give a title to text we will write afterwards. Then adding a simple text using text() method.
Output:
Adding vertical space in our WebApp
We will now add 'n' amount of vertical spaces in our web app using the add_vertical_space() function.
Python3
import streamlit as stm
from streamlit_extras import add_vertical_space as avs
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
# Text before putting space
stm.write("The text after which we will put spaces")
# Putting 5 vertical spaces
avs.add_vertical_space(5)
# Text after the 5th space.
stm.write("The text after putting spaces")
Here we are using the streamlit_extras module for the first time to import add_vertical_space class using alias avs which we are then using to call the add_vertical_space() function (The name of the class and the function is same, so we have to write them twice.) Passing a value of 5 means we want 5 vertical spaces. Writing a text before and after the space to show that how it looks and how much space it gave.
Output:
Adding annotated strings in our WebApp
What are annotations?
An annotation is a note or comment that is added to a text to offer commentary or criticism on a specific passage. Annotation can also be used to describe the process of adding annotations. Scholarly articles or literary works that are being analysed frequently have annotations added.
Python3
import streamlit as stm
from streamlit_extras import add_vertical_space as avs
import annotated_text as ant
from annotated_text import annotation
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
# Vertical Space
stm.write("The text after which we will put spaces")
avs.add_vertical_space(5)
stm.write("The text after putting spaces")
# Annotated Text
ant.annotated_text(
"Hey",
annotation("GeeksforGeeks", color='#07a631'),
("is", "the", 'blue'),
# Text is - 'is','the',
# the color of them is 'blue',
# we don't need to use color
# kwarg here like annotation
# function below to give color.
# We can also provide Hex values of colors as well as names
annotation("BEST", border='3px groove yellow'),
annotation("for", "EVERYTHING", color='#f7f8fa')
)
Here we will use the annotated_text module which gets installed with streamlit-extras automatically so no need to install it again. Just import it and annotation function of the same module.
Then calling the annotated_text() method by passing it's parameters. Now annotated text can both take a string or the function annotation() as it's parameter.
- Normal text - If a normal text is passed inside annotated_text() then we need to pass all the possible styles we want to apply to that particular text, and that style will be applied to the entire text section we will write directly inside annotated_text().
- annotation() - Now if we want to provide a different annotation to certain parts of texts then we will pass them inside of annotation() function and put different styles as we want. This styles will be independent of the outside style we can provide and will not affect it.
Output:
Add buymeacoffee button in our WebApp
Mostly streamers or Youtube Content creators use this on their blog websites. We can also put buy my a coffee button using Streamlit-extras in very short code.
Python3
import streamlit as stm
from streamlit_extras.buy_me_a_coffee import button
stm.set_page_config(page_title = "This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
button(username="Geeks", floating=False, width=250)
We are importing the buy_me_a_coffee function's button method which is part of streamlit-extras module. Then we will just simply call the button method by passing 3 parameters -
- username - It is the parameter in which we can pass an URL of a certain website or blog to which the button will take us. We can also provide some username of people who are registered with buymeacoffee website, clicking this button will redirect us there.
- floating - It takes boolean values, either True or False. If It is True then this button will be at the bottom right, if not then just after the last element we added using Streamlit or anything.
- width - decides the width of the Button. Keep it above 200 otherwise the entire text of Buy me a Coffee will not be visible.
Output:
Add a clickable card in your WebApp
Clickable cards are a Hypermedia in which a URL or anything can be embedded and click that card will redirect the user to any website or anything. We can add that kind of card in our WebApp using streamlit-extras.
For that we will use streamlit_card module which is also gets downloaded with streamlit_extras module, so no need to install it separately,
Python3
import streamlit as stm
from streamlit_card import card
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
# Card
card(
title="Hello Geeks!",
text="Click this card to redirect to GeeksforGeeks",
image="https://media.geeksforgeeks.org/wp-content/cdn-uploads/20190710102234/download3.png",
url="https://www.geeksforgeeks.org/",
)
Output :
Adding Filter to our DataFrame
This is one of the most useful feature of this module. This dataframe_explorer function let's us add filters to the dataframes which we will add in our streamlit webApp.
Python3
import streamlit as stm
from streamlit_extras.dataframe_explorer import dataframe_explorer
import pandas as pd
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
df = pd.read_csv('iris.csv')
filtered_df = dataframe_explorer(df)
stm.dataframe(filtered_df, use_container_width=True)
Simply just pass the dataframe which we want to add in the Streamlit Webapp as the parameter of the dataframe_explorer() function. Then add the dataframe to our streamlit webapp using .dataframe() method. the parameter use_container_width is used to set the dataframe width to the parent container's width if True. The width argument is substituted by this. Only a keyword can be used to support this argument.
Output:
Adding Keyboard bindings (Hitting a certain button on the Keyboard will do something)
Hitting a certain key on the keyboard will redirect us to a website. We have to pass the key as parameter which the user need to press to get to a website. For this we will use two sub-modules of the streamlit-extras library, keyboard_url and keyboard_text.
Python3
import streamlit as stm
from streamlit_extras.keyboard_url import keyboard_to_url
from streamlit_extras.keyboard_text import key
keyboard_to_url(key="G", url="https://www.geeksforgeeks.org/")
stm.write(
f"""Now hit {key("G", False)} on your keyboard...!""",
unsafe_allow_html=True,
)
# keeping it True after G will print G on screen, False will not show
Here firstly we will import the keyboard_to_url and key functions from the keyboard_url and keyboard_text submodules of streamlit_extras library.
Output:
Add raining emojis in WebApp
We can rain certain emojis in our WebApp using this let_it_rain sub module of streamlit_extras.
Python3
import streamlit as stm
from streamlit_extras.let_it_rain import rain
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
# Raining Emoji
rain(
emoji="<copy paste an emoji from any site like emojipedia or iemoji>",
font_size=40, # the size of emoji
falling_speed=3, # speed of raining
animation_length="infinite", # for how much time the animation will happen
)
We import the rain function of the let_it_rain class of streamlit_extras module and pass the required parameters.
If the user wants to rain a certain text they can also pass a text as the value of the emoji parameter of the rain function.
Output:
Add a list of To-Do items with Checkbox
Adding a To-Do list has become very easy with this function of streamlit-extras. For that we will use the stodo class of streamlit_extras module, from that we will import the to_do function and add the tasks using the write() method of streamlit.
Python3
import streamlit as stm
from streamlit_extras.stodo import to_do
stm.set_page_config(page_title="This is a Simple Streamlit WebApp")
stm.title("This is the Home Page Geeks.")
stm.text("Geeks Home Page")
to_do(
[(stm.write, "<may or may not add emoji or\
shortcode here> Get Up Early")],
"coffee",
)
to_do(
[(stm.write, "<may or may not add emoji or shortcode \
here> Eat a healthy Breakfast")],
"pancakes",
)
to_do(
[(stm.write, ":computer: Start solving\
Problems on GeeksforGeeks!")],
"work",
)
Inside of to_do we are just normally using the write() method to pass the text we want to see, user may or may not add some emoji at the front to make it look better, or the shortcode for the emojis. Like in the last one :computer: is the shortcode for the Laptop emoji, after adding that in our streamlit webapp this will change to Laptop emoji..
Output:
Similar Reads
Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly. It'sA high-level language, used in web development, data science, automation, AI and more.Known fo
10 min read
Python Fundamentals
Python IntroductionPython was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. It was designed with focus on code readability and its syntax allows us to express concepts in fewer lines of code.Key Features of PythonPythonâs simple and readable syntax makes it beginner-frien
3 min read
Input and Output in PythonUnderstanding input and output operations is fundamental to Python programming. With the print() function, we can display output in various formats, while the input() function enables interaction with users by gathering input during program execution. Taking input in PythonPython's input() function
7 min read
Python VariablesIn Python, variables are used to store data that can be referenced and manipulated during program execution. A variable is essentially a name that is assigned to a value. Unlike many other programming languages, Python variables do not require explicit declaration of type. The type of the variable i
6 min read
Python OperatorsIn Python programming, Operators in general are used to perform operations on values and variables. These are standard symbols used for logical and arithmetic operations. In this article, we will look into different types of Python operators. OPERATORS: These are the special symbols. Eg- + , * , /,
6 min read
Python KeywordsKeywords in Python are reserved words that have special meanings and serve specific purposes in the language syntax. Python keywords cannot be used as the names of variables, functions, and classes or any other identifier. Getting List of all Python keywordsWe can also get all the keyword names usin
2 min read
Python Data TypesPython Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, Python data types are classes and variables are instances (objects) of thes
9 min read
Conditional Statements in PythonConditional statements in Python are used to execute certain blocks of code based on specific conditions. These statements help control the flow of a program, making it behave differently in different situations.If Conditional Statement in PythonIf statement is the simplest form of a conditional sta
6 min read
Loops in Python - For, While and Nested LoopsLoops in Python are used to repeat actions efficiently. The main types are For loops (counting through items) and While loops (based on conditions). In this article, we will look at Python loops and understand their working with the help of examples. For Loop in PythonFor loops is used to iterate ov
9 min read
Python FunctionsPython Functions is a block of statements that does a specific task. The idea is to put some commonly or repeatedly done task together and make a function so that instead of writing the same code again and again for different inputs, we can do the function calls to reuse code contained in it over an
9 min read
Recursion in PythonRecursion involves a function calling itself directly or indirectly to solve a problem by breaking it down into simpler and more manageable parts. In Python, recursion is widely used for tasks that can be divided into identical subtasks.In Python, a recursive function is defined like any other funct
6 min read
Python Lambda FunctionsPython Lambda Functions are anonymous functions means that the function is without a name. As we already know the def keyword is used to define a normal function in Python. Similarly, the lambda keyword is used to define an anonymous function in Python. In the example, we defined a lambda function(u
6 min read
Python Data Structures
Python StringA string is a sequence of characters. Python treats anything inside quotes as a string. This includes letters, numbers, and symbols. Python has no character data type so single character is a string of length 1.Pythons = "GfG" print(s[1]) # access 2nd char s1 = s + s[0] # update print(s1) # printOut
6 min read
Python ListsIn Python, a list is a built-in dynamic sized array (automatically grows and shrinks). We can store all types of items (including another list) in a list. A list may contain mixed type of items, this is possible because a list mainly stores references at contiguous locations and actual items maybe s
6 min read
Python TuplesA tuple in Python is an immutable ordered collection of elements. Tuples are similar to lists, but unlike lists, they cannot be changed after their creation (i.e., they are immutable). Tuples can hold elements of different data types. The main characteristics of tuples are being ordered , heterogene
6 min read
Dictionaries in PythonPython dictionary is a data structure that stores the value in key: value pairs. Values in a dictionary can be of any data type and can be duplicated, whereas keys can't be repeated and must be immutable. Example: Here, The data is stored in key:value pairs in dictionaries, which makes it easier to
7 min read
Python SetsPython set is an unordered collection of multiple items having different datatypes. In Python, sets are mutable, unindexed and do not contain duplicates. The order of elements in a set is not preserved and can change.Creating a Set in PythonIn Python, the most basic and efficient method for creating
10 min read
Python ArraysLists in Python are the most flexible and commonly used data structure for sequential storage. They are similar to arrays in other languages but with several key differences:Dynamic Typing: Python lists can hold elements of different types in the same list. We can have an integer, a string and even
9 min read
List Comprehension in PythonList comprehension is a way to create lists using a concise syntax. It allows us to generate a new list by applying an expression to each item in an existing iterable (such as a list or range). This helps us to write cleaner, more readable code compared to traditional looping techniques.For example,
4 min read
Advanced Python
Python OOPs ConceptsObject Oriented Programming is a fundamental concept in Python, empowering developers to build modular, maintainable, and scalable applications. OOPs is a way of organizing code that uses objects and classes to represent real-world entities and their behavior. In OOPs, object has attributes thing th
11 min read
Python Exception HandlingPython Exception Handling handles errors that occur during the execution of a program. Exception handling allows to respond to the error, instead of crashing the running program. It enables you to catch and manage errors, making your code more robust and user-friendly. Let's look at an example:Handl
6 min read
File Handling in PythonFile handling refers to the process of performing operations on a file, such as creating, opening, reading, writing and closing it through a programming interface. It involves managing the data flow between the program and the file system on the storage device, ensuring that data is handled safely a
4 min read
Python Database TutorialPython being a high-level language provides support for various databases. We can connect and run queries for a particular database using Python and without writing raw queries in the terminal or shell of that particular database, we just need to have that database installed in our system.A database
4 min read
Python MongoDB TutorialMongoDB is a popular NoSQL database designed to store and manage data flexibly and at scale. Unlike traditional relational databases that use tables and rows, MongoDB stores data as JSON-like documents using a format called BSON (Binary JSON). This document-oriented model makes it easy to handle com
2 min read
Python MySQLMySQL is a widely used open-source relational database for managing structured data. Integrating it with Python enables efficient data storage, retrieval and manipulation within applications. To work with MySQL in Python, we use MySQL Connector, a driver that enables seamless integration between the
9 min read
Python PackagesPython packages are a way to organize and structure code by grouping related modules into directories. A package is essentially a folder that contains an __init__.py file and one or more Python files (modules). This organization helps manage and reuse code effectively, especially in larger projects.
12 min read
Python ModulesPython Module is a file that contains built-in functions, classes,its and variables. There are many Python modules, each with its specific work.In this article, we will cover all about Python modules, such as How to create our own simple module, Import Python modules, From statements in Python, we c
7 min read
Python DSA LibrariesData Structures and Algorithms (DSA) serve as the backbone for efficient problem-solving and software development. Python, known for its simplicity and versatility, offers a plethora of libraries and packages that facilitate the implementation of various DSA concepts. In this article, we'll delve in
15 min read
List of Python GUI Library and PackagesGraphical User Interfaces (GUIs) play a pivotal role in enhancing user interaction and experience. Python, known for its simplicity and versatility, has evolved into a prominent choice for building GUI applications. With the advent of Python 3, developers have been equipped with lots of tools and li
11 min read
Data Science with Python
NumPy Tutorial - Python LibraryNumPy (short for Numerical Python ) is one of the most fundamental libraries in Python for scientific computing. It provides support for large, multi-dimensional arrays and matrices along with a collection of mathematical functions to operate on arrays.At its core it introduces the ndarray (n-dimens
3 min read
Pandas TutorialPandas is an open-source software library designed for data manipulation and analysis. It provides data structures like series and DataFrames to easily clean, transform and analyze large datasets and integrates with other Python libraries, such as NumPy and Matplotlib. It offers functions for data t
6 min read
Matplotlib TutorialMatplotlib is an open-source visualization library for the Python programming language, widely used for creating static, animated and interactive plots. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, Qt, GTK and wxPython. It
5 min read
Python Seaborn TutorialSeaborn is a library mostly used for statistical plotting in Python. It is built on top of Matplotlib and provides beautiful default styles and color palettes to make statistical plots more attractive.In this tutorial, we will learn about Python Seaborn from basics to advance using a huge dataset of
15+ min read
StatsModel Library- TutorialStatsmodels is a useful Python library for doing statistics and hypothesis testing. It provides tools for fitting various statistical models, performing tests and analyzing data. It is especially used for tasks in data science ,economics and other fields where understanding data is important. It is
4 min read
Learning Model Building in Scikit-learnBuilding machine learning models from scratch can be complex and time-consuming. Scikit-learn which is an open-source Python library which helps in making machine learning more accessible. It provides a straightforward, consistent interface for a variety of tasks like classification, regression, clu
8 min read
TensorFlow TutorialTensorFlow is an open-source machine-learning framework developed by Google. It is written in Python, making it accessible and easy to understand. It is designed to build and train machine learning (ML) and deep learning models. It is highly scalable for both research and production.It supports CPUs
2 min read
PyTorch TutorialPyTorch is an open-source deep learning framework designed to simplify the process of building neural networks and machine learning models. With its dynamic computation graph, PyTorch allows developers to modify the networkâs behavior in real-time, making it an excellent choice for both beginners an
7 min read
Web Development with Python
Flask TutorialFlask is a lightweight and powerful web framework for Python. Itâs often called a "micro-framework" because it provides the essentials for web development without unnecessary complexity. Unlike Django, which comes with built-in features like authentication and an admin panel, Flask keeps things mini
8 min read
Django Tutorial | Learn Django FrameworkDjango is a Python framework that simplifies web development by handling complex tasks for you. It follows the "Don't Repeat Yourself" (DRY) principle, promoting reusable components and making development faster. With built-in features like user authentication, database connections, and CRUD operati
10 min read
Django ORM - Inserting, Updating & Deleting DataDjango's Object-Relational Mapping (ORM) is one of the key features that simplifies interaction with the database. It allows developers to define their database schema in Python classes and manage data without writing raw SQL queries. The Django ORM bridges the gap between Python objects and databas
4 min read
Templating With Jinja2 in FlaskFlask is a lightweight WSGI framework that is built on Python programming. WSGI simply means Web Server Gateway Interface. Flask is widely used as a backend to develop a fully-fledged Website. And to make a sure website, templating is very important. Flask is supported by inbuilt template support na
6 min read
Django TemplatesTemplates are the third and most important part of Django's MVT Structure. A Django template is basically an HTML file that can also include CSS and JavaScript. The Django framework uses these templates to dynamically generate web pages that users interact with. Since Django primarily handles the ba
7 min read
Python | Build a REST API using FlaskPrerequisite: Introduction to Rest API REST stands for REpresentational State Transfer and is an architectural style used in modern web development. It defines a set or rules/constraints for a web application to send and receive data. In this article, we will build a REST API in Python using the Fla
3 min read
How to Create a basic API using Django Rest Framework ?Django REST Framework (DRF) is a powerful extension of Django that helps you build APIs quickly and easily. It simplifies exposing your Django models as RESTfulAPIs, which can be consumed by frontend apps, mobile clients or other services.Before creating an API, there are three main steps to underst
4 min read
Python Practice
Python QuizThese Python quiz questions are designed to help you become more familiar with Python and test your knowledge across various topics. From Python basics to advanced concepts, these topic-specific quizzes offer a comprehensive way to practice and assess your understanding of Python concepts. These Pyt
3 min read
Python Coding Practice ProblemsThis collection of Python coding practice problems is designed to help you improve your overall programming skills in Python.The links below lead to different topic pages, each containing coding problems, and this page also includes links to quizzes. You need to log in first to write your code. Your
1 min read
Python Interview Questions and AnswersPython is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify and many more because of its simplicity and powerful libraries. To crack their Online Assessment and Interview Rounds as a Python developer, we need to master important Pyth
15+ min read