9 Python GUI Libraries That Stand Out in 2025
This article reviews nine Python GUI libraries—ranging from the built‑in Tkinter to GPU‑accelerated Dear PyGui—detailing their core features, typical use cases, and code examples, and provides guidance on selecting the right toolkit for desktop, web, mobile, or terminal applications.
Traditional Desktop Application Libraries
1. Tkinter – Python's built‑in GUI toolkit
Tkinter is part of the Python standard library, requiring no additional installation. It provides basic widgets such as windows, buttons, and entry fields, making it suitable for quick prototyping of small desktop tools.
import tkinter as tk
def say_hello():
greeting_label.config(text="Hello, " + name_entry.get())
root = tk.Tk()
root.title("Tkinter Example")
root.geometry("300x150")
name_label = tk.Label(root, text="Enter your name:")
name_entry = tk.Entry(root)
greeting_label = tk.Label(root, text="")
confirm_button = tk.Button(root, text="Say Hello", command=say_hello)
name_label.pack(pady=5)
name_entry.pack(pady=5)
confirm_button.pack(pady=5)
greeting_label.pack(pady=5)
root.mainloop()2. Kivy – Cross‑platform multi‑touch library
Kivy is an open‑source framework designed for applications that run on multiple platforms, including mobile devices, and supports multi‑touch input via its KV language for separating UI from logic.
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
class KivyApp(App):
def build(self):
layout = BoxLayout(orientation='vertical', padding=20, spacing=10)
self.name_input = TextInput(hint_text='Enter your name', size_hint=(1, 0.2))
self.greeting_label = Label(text='Greeting will appear here', size_hint=(1, 0.2))
confirm_button = Button(text='Say Hello', size_hint=(1, 0.2))
confirm_button.bind(on_press=self.say_hello)
layout.add_widget(self.name_input)
layout.add_widget(confirm_button)
layout.add_widget(self.greeting_label)
return layout
def say_hello(self, instance):
self.greeting_label.text = "Hello, " + self.name_input.text
if __name__ == '__main__':
KivyApp().run()Modern Web‑Style Application Libraries
3. Flet – Flutter‑based UI for Python
Flet brings Flutter's UI engine to Python, allowing developers to build beautiful web, desktop, and mobile apps with hot‑reload and without writing any Dart code.
Pure Python UI, no HTML/CSS/JS required
Supports Web, desktop, and mobile deployment
Real‑time hot updates for smooth debugging
import flet as ft
def main(page: ft.Page):
page.title = "Flet Example"
page.vertical_alignment = ft.MainAxisAlignment.CENTER
page.horizontal_alignment = ft.CrossAxisAlignment.CENTER
name_field = ft.TextField(label="Your name", width=300, text_align=ft.TextAlign.LEFT)
greeting_text = ft.Text()
def button_clicked(e):
greeting_text.value = f"Hello, {name_field.value}!"
page.update()
confirm_button = ft.ElevatedButton(text="Say Hello", on_click=button_clicked)
page.add(name_field, confirm_button, greeting_text)
ft.app(target=main)4. NiceGUI – Simple Web‑based GUI
NiceGUI builds on FastAPI and Vue.js, letting you create feature‑rich browser‑based interfaces using only Python code. It is well‑suited for dashboards, internal tools, and interactive prototypes.
Write pure Python to generate Vue‑driven UI
Ideal for internal tools and data‑monitoring dashboards
from nicegui import ui
def greet():
greeting_label.set_text(f"Hello, {name_input.value}!")
name_input = ui.input(label='Enter your name')
confirm_button = ui.button('Say Hello', on_click=greet)
greeting_label = ui.label()
ui.run()5. Eel – Bridge Python and Web technologies
Eel provides a lightweight way to connect a Python backend with HTML/CSS/JavaScript front‑ends, similar to Electron but far lighter. It is useful when you already have web assets and want to package them as a desktop app.
Leverages existing web stack
Two‑way communication between Python and JavaScript
Lightweight and easy to start
import eel
eel.init('web')
@eel.expose
def greet_user(name):
return f"Hello, {name}!"
eel.start('index.html', size=(400, 300))Full‑Stack Python Solutions
6. Reflex – Full‑stack Python (formerly Pynecone)
Reflex lets you write the entire web application in Python; it auto‑generates a React front‑end and includes built‑in state management, making it suitable for complex apps that require modern UI quality.
Complete full‑stack development in Python
Built‑in state management
React‑based high‑quality UI
import reflex as rx
class State(rx.State):
name: str = ""
counter: int = 0
def set_name(self, name):
self.name = name
def increment_counter(self):
self.counter += 1
def index():
return rx.vstack(
rx.input(placeholder="Enter your name", on_change=State.set_name, width="200px"),
rx.button("Say Hello", on_click=lambda: State.set_name(State.name), width="200px"),
rx.text(State.name),
rx.divider(),
rx.text(f"Counter: {State.counter}"),
rx.button("Increment", on_click=State.increment_counter, width="200px"),
spacing="1em",
align="center",
padding_top="10%",
)
app = rx.App()
app.add_page(index)
app.compile()7. PyWebView – Lightweight WebView integration
PyWebView uses the system's native WebView component to display web content without bundling a full browser engine, making it a minimal‑overhead solution for embedding existing web applications in native windows.
Ultra‑lightweight, low resource usage
Native window with WebView rendering
Simple JavaScript‑Python bridge
import webview
import threading
def run_window():
window = webview.create_window('PyWebView Example', 'web/index.html', width=400, height=300)
webview.start()
if __name__ == '__main__':
thread = threading.Thread(target=run_window)
thread.start()Terminal Text UI Libraries
8. Textual – Modern TUI in the terminal
Textual enables rich text‑based user interfaces inside the terminal, supporting CSS‑like styling, mouse interaction, and asynchronous programming, turning command‑line tools into visually appealing applications.
Create rich UI directly in the terminal
Supports CSS styling and modern color palettes
Full mouse and keyboard support
from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, Static
from textual.containers import Container
class ClockApp(App):
CSS = """
Container {
align: center middle;
height: 100%;
}
#time_display {
width: auto;
height: auto;
background: $panel;
color: $text;
padding: 1 2;
border: tall $background;
}
#time_display:focus { border: tall $accent; }
"""
def compose(self) -> ComposeResult:
yield Header()
yield Container(Static("00:00:00", id="time_display"))
yield Footer()
def on_ready(self) -> None:
self.set_interval(1, self.update_time)
def update_time(self):
from datetime import datetime
current_time = datetime.now().strftime("%H:%M:%S")
self.query_one("#time_display", Static).update(current_time)
if __name__ == "__main__":
ClockApp().run()High‑Performance Professional GUI Libraries
9. Dear PyGui – GPU‑accelerated professional GUI
Dear PyGui is a GPU‑accelerated library inspired by game engines, making it suitable for data‑intensive, high‑frequency‑refresh scenarios such as engineering tools, scientific visualizations, and real‑time dashboards.
GPU‑accelerated rendering for excellent performance
Designed for data‑visualization and high‑refresh use cases
Immediate‑mode UI similar to game engines
from dearpygui.core import *
from dearpygui.simple import *
def save_callback(sender, data):
input_value = get_value("Input Text")
log_debug(f"Input value saved as: {input_value}")
def button_callback(sender, data):
input_value = get_value("Input Text")
add_text("Result Text", f"You entered: {input_value}")
with window("Main Window"):
add_text("This is a Dear PyGUI example")
add_input_text("Input Text", label='Type something', default_value='Hello GUI')
add_button('Show Input', callback=button_callback)
add_same_line()
add_button('Save', callback=save_callback)
add_separator()
add_text("Result Text", default_value="Your input will appear here")
start_dearpygui()Choosing the Right Library
Beginners or quick small tools: start with Tkinter .
Mobile or touch‑enabled apps: choose Kivy .
Modern, cross‑platform UI with polished look: Flet offers a Flutter‑like experience.
Browser‑based internal tools or dashboards: NiceGUI or Reflex provide high development efficiency.
Packaging existing web projects as desktop apps: Eel or PyWebView are appropriate.
Enhancing command‑line tools with rich interaction: Textual brings a GUI feel to the terminal.
Data‑intensive or high‑refresh applications: Dear PyGui leverages GPU acceleration.
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