How Much Does It Cost to Hire a Python Developer?

The cost to hire a Python developer can vary and it depends on several factors such as work experience, location, and the complexity of your project. See the below charges of a Python developer. 1. Work Experience Based Cost: Junior-level Python developers (1-3 years of experience) typically charge $25 to $50 per hour. Mid-level developers (3-6 years) range from $60 to $100 per hour. Senior-level Python developers (6+ years) can charge $100 to $250 per hour or more, especially for specialized roles in fields like machine learning or data science. 2. Location Based Cost: If you hire Developers from the US, UK, and Australia locations then they have higher rates, averaging between $80 to $150 per hour. The developers are in Eastern Europe, India, and Southeast Asia regions, rates can be lower, ranging from $25 to $50 per hour for highly qualified developers. 3. Project Range: The cost may be less for short-term or small projects but long-term or complex projects requiring deep expertise in Python Frameworks for App Development like Django, Flask, or data science libraries will increase costs.

Top 10 Programming Frameworks for App Development: Full Guide

Q: Are cross-platform frameworks better than native frameworks?

Cross-platform frameworks like Flutter and React Native allow faster development and reduced cost, but native frameworks like Swift and Kotlin offer better performance and deeper device integration. The choice depends on app goals and complexity.

Q: Which frameworks are best for web-based app development?

Top web frameworks for 2025 include Angular, React, Vue.js, Django, and Laravel, each offering strengths in speed, security, and scalability.

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What Is a Python Framework?
Python Framework vs Python Library (Quick Difference)
Why Use a Python Framework for App Development?
Types of Python Frameworks
Top 10 Programming Frameworks for App Development (Full Breakdown)
Comparison Table: Top 10 Programming Frameworks for App Development
Best Apps Built with Python Frameworks
How to Choose the Right Framework (Quick Guide)
How Python Frameworks Transform App Development?
Why OnGraph Is the Best Choice for Python Development Services
Conclusion

Python remains one of the most popular and versatile languages for mobile and web development. Known for its simplicity, scalability, and large ecosystem, Python helps developers build powerful applications faster — making it a top choice for startups, enterprises, and leading Python development companies worldwide. Whether you’re exploring Python Development Outsourcing or planning a new project, understanding the best frameworks is essential. In this Guide, we break down the Top 10 Programming Frameworks for App Development, their features, use cases, and why businesses prefer them.

What Is a Python Framework?

A Python framework is a collection of pre-built modules that simplify development by handling repetitive tasks like routing, database operations, caching, and authentication. They help developers:

Build apps faster
Improve code quality
Ensure scalability
Reduce development effort

This makes frameworks essential for efficient Python development services.

Python Framework vs Python Library (Quick Difference)

A framework is the skeleton of your app that you build around, while a library is a toolbox you pick tools from.

Python Framework	Python Library
Defines structure of the entire application; provides tools for routing, templates, database handling	Provides specific functions for solving a narrow problem (e.g., data manipulation, plotting)
Example: Django, Flask	Example: NumPy, Requests

Why Use a Python Framework for App Development?

Python stands out because of:

Easy learning curve
Large ecosystem
Flexible cross-platform development
Strong community support
Fast prototyping
Cost-effective development

This is why many global brands partner with a Python development company for scalable solutions.

Types of Python Frameworks

There are 3 major types:

1. Micro Frameworks

Lightweight, minimal, and ideal for small applications.
Examples: Bottle, CherryPy, Falcon, Dash.

2. Full-Stack Frameworks

Feature-rich frameworks handling front-end + back-end.
Examples: Django, Web2Py, TurboGears.

3. Asynchronous Frameworks

Designed for high-performance, real-time apps with massive concurrency.
Examples: AIOHTTP, Sanic, Tornado.

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Top 10 Programming Frameworks for App Development (Full Breakdown)

Below are the best frameworks powering thousands of apps across industries.

1. Django – The #1 Python Framework for Scalable App Development

Django is a full-stack framework built for rapid, secure, enterprise-grade applications. Companies like Instagram and Spotify rely on it for performance and scalability.

Key Features

Built-in admin panel
Powerful ORM
Authentication system
Excellent documentation
DRY architecture

Perfect for:

Large applications
Enterprise systems
E-commerce, social networks

2. Flask – Lightweight & Flexible Micro Framework

Flask is ideal for developers wanting flexibility. It’s minimal yet powerful, making it a top choice for prototypes, APIs, and microservices.

Features:

Built-in development server
Easy routing
Jinja2 templating
Scales with extensions

Perfect for:

Startups
REST APIs
Lightweight applications

3. Web2Py – Full-Stack Framework with Built-in IDE

Web2Py simplifies development with its own browser-based IDE, debugger, and deployment tools.

Highlights:

No installation required
Ticketing system for debugging
MVC architecture
Supports NoSQL & SQL databases

Ideal for rapid Python development outsourcing projects.

4. TurboGears – Flexible for Both Small & Large Applications

TurboGears supports multi-database applications with strong modularity.

Features:

ORM support
Command-line tools
MVC architecture
ToscaWidgets for UI building

Great for enterprise-grade applications.

5. Falcon – High-Performance API Framework

Falcon is perfect for building fast, reliable backend services that handle high traffic.

Features:

Clean routing
Native HTTP error responses
Cython support
DRY request processing

Used by LinkedIn, Rackspace, and large tech companies.

6. CherryPy – Clean & Minimalistic Framework

CherryPy is one of the oldest Python frameworks and is still a developer favorite.

Features:

Built-in tools for caching, sessions
Multi-threaded server
Flexible plugin system
Runs on Android

Great for embedded apps & small-scale tools.

7. Tornado – For Real-Time, High-Concurrency Applications

Tornado is an asynchronous framework ideal for apps requiring thousands of active connections.

Features:

Real-time updates
Non-blocking network I/O
WebSockets support
Highly scalable

Perfect for:

Chat apps
Gaming apps
Live dashboards

8. AIOHTTP – Async Framework for Modern Web Apps

Built on asyncio, AIOHTTP is perfect for high-performance async applications.

Features:

Pluggable routing
Supports WebSockets
Middleware support
Async server & client

Ideal for fast APIs & microservices.

9. Kivy – Cross-Platform Python Framework for Mobile Apps

Kivy allows developers to build native-feel mobile apps for Android, iOS, Windows, and Linux.

Features:

Multi-touch support
GPU-accelerated graphics
Great for mobile UI development

Perfect for cross-platform development.

10. BeeWare – Native Mobile Apps in Python

BeeWare allows you to write apps in Python and deploy them natively on iOS, Android, Windows, macOS, and Linux.

Features:

Native look & feel
Tools like Toga & Briefcase
Code reusability
Strong community support

A top pick for mobile app projects using Python.

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Comparison Table: Top 10 Programming Frameworks for App Development

Framework	Best For	Type	Difficulty	Why It’s in the Top 10
Django	Enterprise apps	Full-stack	Medium	Secure, scalable, feature-rich
Flask	APIs & microservices	Micro	Easy	Lightweight, flexible
Web2Py	Rapid development	Full-stack	Easy	Built-in IDE + MVC
TurboGears	Database apps	Full-stack	Medium	Multi-database support
Falcon	High-speed APIs	Micro	Medium	Ultra-fast performance
CherryPy	Microservices	Micro	Easy	Minimalistic + powerful
Tornado	Real-time apps	Async	Hard	Handles 10k+ connections
AIOHTTP	Async APIs	Async	Medium	Excellent async performance
Kivy	Mobile apps	Cross-platform	Medium	GPU accelerated
BeeWare	Native apps	Cross-platform	Medium	Write once, deploy anywhere

Best Apps Built with Python Frameworks

Some globally recognized apps include:

Instagram – Django
Spotify – Django
Dropbox – Custom Python framework
YouTube – Flask
Quora – Django

Proving Python’s unbeatable reliability.

How to Choose the Right Framework (Quick Guide)?

Choose based on:

Project complexity
Scalability needs
Developer expertise
Performance requirements
Documentation & community

If unsure, consult a trusted Python development company to guide your technical decisions.

How Python Frameworks Transform App Development?

Python transforms app development by offering:

Rapid prototyping
Clean code structure
Strong support for AI/ML, data engineering & DevOps
Seamless API integration
Swift development with reusable components

This is why most businesses prefer Python development services for scalable and future-ready apps.

Why OnGraph Is the Best Choice for Python Development Services

Choosing the right partner matters. OnGraph is a leading Python development company offering:

Custom Python development
Mobile app development
Web app development
Python development outsourcing
Expertise in Django, Flask, TurboGears, Kivy, Tornado
End-to-end support from ideation to deployment

Let us build scalable, high-performing applications tailored to your business needs.

Planning a Python app? Hire our expert Python developers today.

From startup MVPs to enterprise platforms, our Python developers build scalable, secure, and future-ready applications tailored to your business vision.

Conclusion

Python offers some of the best frameworks for building modern, scalable, and high-performing applications. Whether you’re creating mobile apps, enterprise platforms, APIs, or full-stack solutions, choosing the right framework is crucial.

With this updated Python App Development Guide, you now have a clear understanding of the Top 10 Programming Frameworks for App Development and how to use them effectively.

Partner with OnGraph to bring your vision to life with expert Python development services.

FAQs

Programming frameworks provide pre-built tools, libraries, and structures that speed up development, reduce repetitive coding, improve code quality, and ensure scalability. They help developers focus more on core features rather than reinventing the wheel.

There is no single “best” framework—choices vary by project. Flutter, React Native, and SwiftUI (for iOS) are leading options in 2025 due to performance, community support, and cross-platform capabilities.

Key factors include: project size, performance needs, team expertise, community support, cross-platform requirements, scalability, budget, and long-term maintenance expectations.

Cross-platform frameworks like Flutter and React Native allow faster development and reduced cost, but native frameworks like Swift and Kotlin offer better performance and deeper device integration. The choice depends on app goals and complexity.

Top web frameworks for 2025 include Angular, React, Vue.js, Django, and Laravel, each offering strengths in speed, security, and scalability.

Frameworks influence load speed, stability, memory usage, and responsiveness. Lightweight frameworks typically offer better performance, while heavier ones may provide more built-in features but require optimization.

GUI framework is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. Below are the top 10 GUI frameworks.

Gradio
Streamlit
Kivy
Tkinter
PyQt
PySide
wxPython
PyGTK
wxPython
PySimpleGUI

Yes, If you want to develop a project that involves web development, data analysis, AI, machine learning, or automation then you should hire a Python developer. Python has versatility, strong community support, and vast libraries that make it an excellent choice for scalable and efficient solutions by developers. A highly skilled Python development team can help you build robust applications, streamline workflows, and tackle complicated data-driven goals.

The cost to hire a Python developer can vary and it depends on several factors such as work experience, location, and the complexity of your project. See the below charges of a Python developer.

1. Work Experience Based Cost:

Junior-level Python developers (1-3 years of experience) typically charge $25 to $50 per hour.
Mid-level developers (3-6 years) range from $60 to $100 per hour.
Senior-level Python developers (6+ years) can charge $100 to $250 per hour or more, especially for specialized roles in fields like machine learning or data science.

2. Location Based Cost:

If you hire Developers from the US, UK, and Australia locations then they have higher rates, averaging between $80 to $150 per hour.
The developers are in Eastern Europe, India, and Southeast Asia regions, rates can be lower, ranging from $25 to $50 per hour for highly qualified developers.

3. Project Range:

The cost may be less for short-term or small projects but long-term or complex projects requiring deep expertise in Python Frameworks for App Development like Django, Flask, or data science libraries will increase costs.

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