The field of web development is fast-paced and dynamic, and the right selection of frameworks can directly impact the success of your project. Now the question is – which one will be best for you Django vs Flask vs FastAPI?
If you are a beginner or an experienced developer, this decision is important. Because every framework has its own unique feature set and use case. Django, Flask, and FastAPI tenon come with their own qualities, which are useful in different types of projects. But, it is important to understand the difference between them, so that you can choose the best one according to your needs.
The purpose of this article is to provide you with a detailed comparison based on the features, use cases, and performance of these teen frameworks. You’ll learn what powerful features Django has, where Flask excels in simplicity, and how FastAPI is the ideal choice for modern, high-speed APIs. With each framework’s pros, cons, and best use cases, you’ll be able to make an informed decision for your web development project.
A quick overview:
Attribute | Django | Flask | FastAPI |
---|---|---|---|
Popularity | High, especially for large projects | Moderate, great for beginners | Rising, popular for APIs |
Learning Curve | Medium to high | Low, easy for beginners | Moderate, with async capabilities |
Primary Use Case | Full-stack web applications | Simple web apps and microservices | Fast, async-driven APIs |
Overview of Each Framework: Django vs Flask vs FastAPI
Now that we have understood the purpose of comparison based on Django vs Flask vs FastAPI, let us explore these frameworks one by one. Each one has unique qualities and approaches that best fit specific project types.
Django – Full-Featured Framework
Django is a complete web framework that follows the “batteries-included” philosophy. This means that Django provides you with built-in tools and features for every aspect of web development. Features like user authentication, URL routing, ORM (Object-Relational Mapping), and admin panel are already integrated, which is very useful in large-scale applications and complex projects. Django may be a bit challenging for beginners, but for anyone who wants to do full-stack development or build complex systems, Django is a solid choice.
The use of Django is very common in large projects – in which you need a complete backend structure that is secure and scalable. With this framework, you can quickly create robust applications. Django’s built-in security features (like CSRF and SQL injection protection) also make it secure, which is a must-have for any professional-grade application.
Flask – Micro-Framework for Flexibility and Simplicity
Flask is a micro-framework that introduces maximum flexibility and simplicity in web development. Unlike Django, Flask’s minimalistic design provides you with only essential tools, and you have to manually add them depending on your project. This approach is ideal for beginners who want to create small and simple web applications. With Flask you have to include third-party libraries and add-ons if you need additional functionalities.
Its lightweight structure and easy-to-learn syntax make it perfect for beginners and fast prototyping. Flask gives you a blank canvas on which you can work according to your creativity and the needs of the project. For those who prefer freedom and control and do not need complex built-in tools, Flask is the best fit.
FastAPI – Modern Framework for High-Performance APIs
FastAPI is a relatively new framework, which is specifically optimized for developing APIs. Its major highlight is its asynchronous support and speed, which makes it different in Django vs Flask vs FastAPI comparison. FastAPI’s asynchronous support makes multitasking and heavy data handling workflows smooth and quick, making it the perfect choice for high-performance applications. This framework fully utilizes Python’s latest features (like type hints), which helps developers minimize errors and build robust APIs.
The reason for FastAPI’s popularity in modern projects is its speed and efficiency, especially when asynchronous processing is required. FastAPI is accessible even to beginners, but its major appeal is among advanced developers who want to create fast, real-time systems. FastAPI remains the top choice for social media platforms, chat applications, and complex data-driven projects.
Key Comparisons: Django vs Flask vs FastAPI
In this section, we will do a detailed comparison of three frameworks to make it easier for you to decide which framework is best for your project. While analyzing Django vs Flask vs FastAPI, we will judge them on the basis of speed, learning curve, and flexibility.
Speed and Performance
When it comes to speed and performance, the choice of frameworks directly impacts the speed and efficiency of the application.
- Django: Django is known for its robustness, but it can be a little slow due to its extensive features and built-in tools. Django’s ORM and templates system use more resources, which may be overkill for small-scale applications. But, Django’s built-in capabilities and tools are also an advantage for large applications and complex functionalities.
- Flask: Flask is a lightweight and fast framework that comes without unnecessary features, making it perfect for small applications and prototypes. However, it does not have built-in asynchronous support, which may be limiting for complex or high-traffic applications. Flask gives you speed and simplicity, but you have to do additional configurations for asynchronous tasks.
- FastAPI: FastAPI is optimized with asynchronous support, making it the best choice for creating high-performance APIs. Its asynchronous handling mechanism makes it the fastest compared to Flask and Django. FastAPI is designed for modern web applications that are ideal for real-time data and heavy processing tasks.
Tip: To further clarify performance, we can include response time benchmarks if available. The speed advantage of FastAPI is visible in real-world scenarios such as chat applications or real-time data handling applications.
Attribute | Django | Flask | FastAPI |
---|---|---|---|
Speed and Performance | Slower for high-performance needs due to extensive built-in features, suitable for large projects | Lightweight and fast for small projects, lacks built-in asynchronous support | Optimized for speed with asynchronous support, ideal for high-performance APIs |
Ideal Use Case | Large, complex applications with diverse functionality | Small to medium-sized applications or projects needing flexibility and simplicity | Modern, high-performance APIs or applications with real-time data requirements |
Asynchronous Support | Limited asynchronous capabilities | Requires additional configuration for async tasks | Built-in async support, making it fastest among the three for real-time applications |
Benchmarks/Response Time | Built-in async support, making it the fastest among the three for real-time applications | Quick for smaller requests but may need optimizations for large-scale tasks | High-speed performance and low latency, ideal for quick-response applications |
Learning Curve and Ease of Use
Along with the requirements of your project, your learning experience is also an important factor when choosing a framework.
- Django: Django’s learning curve can be steep for beginners because it is a fully-featured and highly structured framework. But, if you invest a little time and effort, it is highly rewarding for complex and large projects. Django’s built-in admin panel and ORM system can be a bit overwhelming for beginners, but once you understand them, they are very effective and efficient tools.
- Flask: Flask is ideal for beginners because its structure is simple and minimalistic. Flask gives you the freedom to build your project the way you want, which can be comforting for developers. With Flask you can structure your application step-by-step, giving beginners a hands-on coding experience.
- FastAPI: FastAPI’s learning curve is medium, making it easily understandable for Python developers, especially if they are familiar with type hints. This may be a little complex if you are completely new to it, but for experienced Python users, it is straightforward and efficient. FastAPI can be the best choice for API-focused and asynchronous applications, and its documentation is also well-structured which makes the learning process smooth.
Tip: You can create a quick quiz or checklist to help readers assess their skills and project needs and decide which framework is suitable for them between Django vs Flask vs FastAPI.
Flexibility and Extensibility
The flexibility and extensibility of the framework impact the customization and scalability of your project. Let us compare the frameworks from this angle:
- Django: Django follows a monolithic structure which is suitable for beginners and large projects, but slightly restricts customization and flexibility. Django’s strict structure and rules are helpful for beginners, but if you want custom functionality, you’ll have to adjust to Django’s constraints.
- Flask: Flask’s flexibility is unmatched, making it perfect for small projects and prototypes. You can customize your project using third-party integrations and tools. Flask gives you freedom and control, which is helpful for developers who want to add custom features and advanced functionalities.
- FastAPI: FastAPI offers asynchronous support and flexibility making it suitable for scalable and responsive applications. But, compared to Django, FastAPI has fewer built-in tools, which makes it a bit dependent on third-party integrations and manual configurations. FastAPI’s async support and compatibility of modern Python features make it highly flexible, especially for APIs.
Unique Angle: To visually represent flexibility and extensibility, we can create a Venn diagram that represents the overlaps and unique features of these frameworks.
Attribute | Django | Flask | FastAPI |
---|---|---|---|
Flexibility and Extensibility | Highly structured, offers limited flexibility due to monolithic design but excellent for organized projects | Extremely flexible, allows high customization through third-party libraries | Moderately flexible, asynchronous programming support, but fewer packages than Django |
Customization | Somewhat restricted; extensive features but less customizable | High customizability, excellent for custom tool integration | Flexible for API customization, compatible with modern Python features, supports async |
Third-Party Integrations | Extensive, with a large ecosystem of plugins and packages | Requires external packages for additional features | Growing ecosystem, compatible with async tools, but smaller library selection than Django |
Best Use Case | Projects needing structure and ready-to-use tools, especially complex and large applications | Small applications and prototypes that require easy customization | Real-time applications, API-heavy projects, or applications with a need for high speed |
Django vs Flask vs FastAPI – In-Depth Analysis of Use Cases
When choosing a framework, one of the biggest questions is: “What type of project is it best for?” To make it easy, let’s go through real-life use cases for Django, Flask, and FastAPI, and understand which framework will fit best.
Django: Large, Complex, and Data-Driven Websites
Django’s main strength is its structure and built-in tools. This framework is based on the “batteries-included” philosophy, which means many of the essential features like authentication, admin panel, ORM, and security come built-in into Django. Because of this, Django is well suited for large, complex, data-driven websites where scalability and maintainability are required.
Examples of Django Use Cases:
- E-commerce Websites: Django’s built-in admin panel and ORM system are perfect for complex e-commerce websites. Because you need transactions and user management, Django’s structure and security help handle these matters.
- Social Media Platforms: Large social networks like Instagram use Django to handle millions of users and their data. Django’s ORM is quite effective in managing large databases.
- Content Management Systems (CMS): Django’s flexibility and reusable components are used in CMS applications, such as blog sites or publishing platforms.
Flask: Small to Medium-Sized Applications and Prototypes
Flask is a micro-framework, and its simplicity and flexibility are perfect for small projects or prototypes. Flask is minimalistic, which means it gives you just the basics, and you can add the rest at your convenience. Because of this, Flask is easy to learn and fast to implement for beginners.
Examples of Flask Use Cases:
- Prototyping: If you want to create an MVP (Minimum Viable Product) of a project, Flask is a great option. It is simple and fast, so you can quickly create a working model.
- Microservices: Flask is lightweight, so you can use it in microservices. For example, if you want to create a small, independent service that can integrate with a larger app, Flask is very convenient.
- Simple Web Applications: Flask is best suited for small and medium-sized projects, where complex tools are not needed. Like, a personal blog site or a simple booking system.
FastAPI: High-Performance APIs and Real-Time Applications
FastAPI has quickly gained popularity, thanks to its speed and asynchronous support. It is mainly designed for APIs and applications where performance is critical. FastAPI supports type hints and async programming, making it perfect for modern APIs.
Examples of FastAPI Use Cases:
- RESTful APIs and Microservices: FastAPI is built for APIs and microservices that can handle complex tasks with high speed.
- Machine Learning Models: FastAPI is also used to deploy machine learning models in web-based interfaces. For APIs that serve ML models, speed and reliability are important, and FastAPI is perfect for that.
- Real-Time Data Applications: If your application updates data in real-time, FastAPI can provide much higher performance than async programming. Like livestock tracking or real-time data dashboards.
Django vs Flask vs FastAPI – Community and Ecosystem
While choosing a framework, not only features, community, and ecosystem are also very important. These decide whether you will get support and resources, especially when you are facing an issue. Let’s see what the communities of Django, Flask, and FastAPI are like and what level of support they can provide.
Django: Highly Active Community with Extensive Documentation
Django’s community support is quite strong, and it is a well-established and mature framework. Django has been in the web development industry since 2005, and its documentation is also quite extensive. Django’s community guides both beginners and experienced developers, and its presence on GitHub is also quite strong. This is an advantage for developers because you will find many solutions and resources easily available.
Highlights of Django’s Community:
- Extensive Documentation: Django’s documentation is beginner-friendly and provides step-by-step guidance. Every feature and use case is explained in detail.
- Active Forums and Tutorials: Django has a strong presence on community forums, tutorials, and Stack Overflow. You can easily find solutions and tutorials for commonly faced problems.
- Third-Party Libraries: There are many third-party libraries and plugins available for Django that can simplify your work. These libraries help you implement features without writing too much code.
Flask: Established Community, but Not as Extensive as Django’s
Flask is also a very popular framework, and its community is also mature and active. Because Flask was launched in 2010, it has the support of many experienced developers and contributors. But like Django, Flask can be a bit limited due to the extensive documentation and third-party resources. Flask is easy for beginners, so you’ll find basic-level support and tutorials already available.
Highlights of Flask’s Community:
- Simpler Resources and Documentation: Flask’s documentation is concise and easy to follow, which is very helpful for beginners.
- Developer-Friendly Forums: On Flask you will get a decent amount of support on GitHub and Stack Overflow. Flask’s community is also very active in the development of tutorials and plugins.
- Focus on Flexibility: Flask’s community generally guides you on aspects of flexibility and customization, so you can easily use third-party tools and integrations.
FastAPI: Newer Community, but Rapidly Growing due to Modern Async Support
FastAPI is a relatively new framework, but its community is growing quite rapidly. FastAPI follows a modern approach to APIs and asynchronous support, which developers like a lot. This framework is very fast and high-performance, which is ideal for complex applications, and this has also seen a boost in developer interest.
Highlights of FastAPI’s Community:
- Rapidly Growing GitHub Stars: FastAPI has a very strong presence on GitHub, and according to recent developer surveys, FastAPI is growing rapidly in popularity.
- Modern Documentation and Type Hints: FastAPI’s documentation supports type hints and async programming, which is quite attractive for new-age developers.
- Active Open Source Contributions: FastAPI has a strong presence in open-source community contributions, and developers are actively developing new plugins and libraries.
This is a community overview of Django vs Flask vs FastAPI to help you about the communities of the frameworks.
Django vs Flask vs FastAPI – Security Features
Security is a crucial aspect of web development, and it should be a priority in the selection of a framework. When we compare the security features of Django vs Flask vs FastAPI, each framework handles security in its way, which will depend on the requirements of your project. In this section, we will understand the security capabilities and limitations of these three frameworks and see which framework is the best fit for you.
Django: Robust Security Out-of-the-Box
Django is very strong and reliable in terms of security. This framework provides you with out-of-the-box security features, which are directly integrated into the web application. Django comes with advanced security features like CSRF (Cross-Site Request Forgery) protection and SQL injection protection. This cheese is very important in backend development because it protects the web application from potential attacks.
Key Security Features in Django:
- CSRF Protection: Django provides automatic CSRF protection that prevents unauthorized requests, making sure only valid users perform actions.
- SQL Injection Protection: This feature secures your database from unauthorized access. Due to Django ORM, SQL injection attacks are avoided.
- XSS (Cross-Site Scripting) Protection: Django sanitizes HTML templates, which prevents malicious scripts from executing.
If your project has strong built-in security requirements, then Django is an ideal choice. But, if you want lightweight and flexible solutions then you can also look at Flask and FastAPI.
Flask: Security via Third-Party Libraries
Flask is a minimalistic and flexible framework, but its built-in features are limited in security. Some essential security features are not found out-of-the-box in Flask, as is the case in Django. Because of this, you have to install additional third-party libraries to enhance the security of the Flask application. This approach may be a bit challenging for beginners, but it is quite effective for experienced developers who want flexibility.
Flask Security Approach:
- CSRF and SQL Injection Protection via Extensions: Flask doesn’t give you direct support for CSRF protection and SQL injection, but you can add these protections using tools like
Flask-WTF
andSQLAlchemy
. - Customized Security Measures: In Flask you can manually add your security configurations, which is beneficial for complex and flexible projects.
- Dependency on Third-Party Tools: You have to find compatible libraries for each security requirement in Flask, which can be time-consuming.
Flask is secure if the correct libraries and practices are followed. But if you want built-in and comprehensive security, then Django is a better option. Now let’s see how FastAPI handles security.
FastAPI: Modern Security with OAuth2 Support
FastAPI is popular for asynchronous support and performance, but it also has some advanced security features that make it ideal for APIs and modern web apps. FastAPI comes built-in with OAuth2 authorization, which is very helpful for APIs, especially when you need to implement user authentication and authorization securely.
FastAPI Security Highlights:
- OAuth2 and JWT Support: FastAPI APIs provide secure authorization using OAuth2 and JWT (JSON Web Tokens), which protects user data from unauthorized access.
- Customizable Security: FastAPI gives you the flexibility to set your security strategies for your APIs. However, it does not have extensive built-in security features like Django.
- Asynchronous Request Handling: Async capabilities make FastAPI APIs secure and efficient, maintaining a balance of performance and security.
If you need async and modern security solutions for APIs, then FastAPI is a solid choice. But, if a full-fledged web app requires comprehensive security, then Django is better suited. Compared to Flask and Django, FastAPI’s approach is unique, giving developers flexibility in the specific security requirements of the APIs and backend.
Security Checklist for Developers
Each framework comes with its advantages, but depending on your project requirements you may need to consider some additional measures:
- Django: Out-of-the-box is secure, but make sure you keep CSRF and XSS prevention enabled.
- Flask: Don’t add essential security libraries in Flask, like Flask-WTF for CSRF.
- FastAPI: Set up secure authentication through OAuth2 and JWT, and maintain the balance of performance and security with async support.
Django vs Flask vs FastAPI – Pros and Cons
So now we have understood different aspects of Django vs Flask vs FastAPI in detail, like performance, security, and flexibility. Now it’s time to wrap up the core pros and cons of these frameworks in a concise summary, so you can easily figure out which framework will be the best fit for your project. In this, we will list the strengths and weaknesses of each framework and also provide a unique scoring chart that will compare based on factors like ease of use, performance, flexibility, and security.
Django: Structured and Feature-Rich
Pros:
- Built-In Admin Panel: Django’s built-in admin panel is a powerful feature that makes data management easy and efficient. If you need to quickly create a backend, this feature saves time.
- ORM Support: With Django’s Object-Relational Mapping (ORM) feature you can manage data without writing SQL, which makes development faster and less error-prone.
- Comprehensive Documentation and Community Support: Django’s community is very strong, and the documentation is also extensive which is helpful for developers.
- Security-Focused: Django provides out-of-the-box security, such as CSRF and XSS protection.
Cons:
- Slower for Small Applications: Django’s extensive features may be overkill for small apps, impacting project speed and resource usage.
- Limited Flexibility: Django is highly structured, which may limit flexibility in custom features and integration.
Flask: Lightweight and Customizable
Pros:
- Lightweight Framework: Flask is minimalistic and lightweight, making it ideal for small and medium applications.
- Flexibility and Customization: Flask has the flexibility of third-party integrations which is beneficial for customized development.
- Beginner-Friendly: Flask’s simple structure is perfect for beginners which helps developers quickly start web development.
Cons:
- Lacks Built-In Features: Flask does not have some essential built-in features, so you have to install additional libraries.
- Scalability Issues: If the scope and complexity of your project increases, scaling Flask can be challenging.
FastAPI: Modern and High-Performance
Pros:
- Fast and Asynchronous: FastAPI is optimized with async capabilities, making it the fastest choice for RESTful APIs and real-time applications.
- Type Hints Support: Integration with Python type hints makes the FastAPI development and debugging process easy and error-free.
- Ideal for API-Centric Projects: If you have to make an API-heavy or microservices-based project, then FastAPI is the best fit.
Cons:
- Smaller Ecosystem: Compared to Django and Flask, FastAPI’s ecosystem is still in the developing stage, so the libraries and packages available in it are limited.
- Steeper Learning Curve for Async Programming: Async programming can be a bit challenging for beginners, especially if they are new to the concept.
Scoring Chart: Django vs Flask vs FastAPI
Feature | Django | Flask | FastAPI |
---|---|---|---|
Ease of Use | 8/10 | 9/10 | 7/10 |
Performance | 6/10 | 8/10 | 10/10 |
Flexibility | 7/10 | 10/10 | 8/10 |
Security | 9/10 | 6/10 | 7/10 |
Community | 10/10 | 8/10 | 6/10 |
Django vs Flask vs FastAPI – Which Framework Should You Choose?
So far we have explored the features, performance, and use cases of Django vs Flask vs FastAPI in detail. But now the most important question is: which framework should you choose? This decision should be made based on the requirements of your project and your coding skills. Each framework has its strengths, so let’s understand them.
For Beginners: Choose Flask
If you are new to web development, then Flask is the best option for you.
- Simplicity: Flask’s minimalist design is very easy to use. In this, you can quickly implement your ideas without the complexity of any heavy framework.
- Learning Curve: The learning curve of Flask is quite smooth for beginners. You will soon learn the basics and you can start your own projects.
- Flexibility: Flask’s flexibility gives you the freedom to develop in your way. You can customize your projects by integrating third-party libraries.
For Large-Scale Projects: Choose Django
If you are building a large-scale or complex application, then Django will be your ideal choice.
- Structured Framework: Django’s “batteries-included” philosophy means that it already has a lot of features built in to speed up your development. You do not need to install separate libraries.
- Robustness: The strong structure of this framework gives you the ability to manage large applications efficiently. These are perfect for complex projects like e-commerce websites or social networks.
- Security Features: Django’s built-in security features help protect your applications, which is crucial for large-scale applications.
For Modern API-Driven Projects: Choose FastAPI
If you are creating modern applications or APIs, then FastAPI is the best fit for you.
- High Performance: FastAPI optimizes speed and performance with asynchronous programming. This framework will give you the best results if you need real-time applications or microservices.
- Type Hints: FastAPI supports Python-type hints, which makes your code readable and maintainable. This feature is very beneficial for developers who believe in writing clean code.
- RESTful APIs: This framework is very efficient in building RESTful APIs. If you are working on a data-heavy application, then FastAPI is perfect for it.
Django vs Flask vs FastAPI – Conclusion
Now we have discussed Django vs Flask vs FastAPI in great detail. Every framework has its unique features and benefits. However, the most important thing is how you choose the right framework. Let us summarize them and also discuss some next steps.
Frameworks Summary
- Django:
- Benefits: Django is a full-featured framework. It has built-in features like ORM, admin panel, and security. This is best for large, complex applications. If you need a robust structure then Django is your go-to option.
- Suitable For: Large-scale projects, such as e-commerce websites and social networks.
- Flask:
- Benefits: Flask is a micro-framework, which provides flexibility and simplicity. This is perfect for beginners because you can learn it quickly and use it to create small to medium projects. The lightweight nature of Flask gives you the freedom to customize your project.
- Suitable For: Small to medium applications, prototypes, and microservices.
- FastAPI:
- Benefits: FastAPI enhances speed and performance with asynchronous programming. It is ideal for modern web applications where performance is critical. FastAPI’s type hints keep your code clean and maintainable.
- Suitable For: RESTful APIs, microservices, and applications where speed is essential.
Choosing the Right Framework
Now that you have understood the benefits of these three frameworks, you have to decide which framework is best according to your project and experience. Choosing between Django vs Flask vs FastAPI is an important decision. This will directly impact your development speed, project quality, and maintenance.
Next Steps
If you’ve screwed up your framework, there are some next steps you should take:
- Official Documentation: The official documentation of each framework gives you detailed guidance. It tells you about best practices for installation, configuration, and development.
- Django: Django Documentation
- Flask: Flask Documentation
- FastAPI: FastAPI Documentation
- Online Courses: You can do courses on online platforms. They provide you a structured learning experience.
- You can find courses on Udemy, Coursera, or Pluralsight.
- Practice Projects: Practice your skills by making small projects. Your projects will help you understand the depth of the framework.
Additional Resources
For further reading on Frameworks Like Django vs Flask vs FastAPI best practices and tools, consider exploring the following resources:
- Django vs Flask: Which Python Framework is better for you?
- Python For Beginners: Learn Python
- Python For Big Data: How Python Works For Big Data
- Machine Learning vs Meta Learning: Learn The Difference
Frequently Asked Questions (FAQ)
1. Which is the best framework for beginners among Django, Flask, and FastAPI? If you are a beginner, then Flask is the simplest and lightweight option. Its minimalistic design and simplicity make it friendly for developers. But if you want a structured and large framework then you can also explore Django.
2. Is FastAPI only for making API’s? However, FastAPI is mainly optimized for APIs, especially when you need high-performance and asynchronous support. But you can also create complete web apps like this, just it is not a full-stack framework like Django.
3. Which is fastest between Django, Flask and FastAPI? FastAPI leads in terms of performance because it is built with asynchronous support. Django is a bit heavy and may be slower in large applications, and Flask is also fast but does not support async.
4. Should Django be used only for complex projects? Yes, Django performs best in complex or large projects, but if you want a structured and secure framework even in small or medium-scale projects then you can consider Django. But for small or micro projects Flask will be a better fit.
5. Which framework is better in terms of security? Django is the strongest in security features because it has built-in protection such as CSRF and SQL injection. For security in Flask and FastAPI, you can install additional libraries.
6. Which framework is suitable for data-driven websites? Django is best for data-driven, complex websites. It has forms, an admin panel, and scalability options which help in handling large data.
7. Which one is easier for beginners between Flask and FastAPI? Flask is the most straightforward for beginners. FastAPI is also simple but can be a little advanced in terms of type hints and async programming.
8. Which Framework to Choose for Full-Stack Development? Django is the best option for full-stack development because it is a complete framework that seamlessly integrates front-end and back-end. Flask and FastAPI do not have this depth.
9. Can FastAPI be used for machine learning projects? Of course! FastAPI is optimized for creating APIs and supports asynchronous programming, which is ideal for deploying machine learning models. Its speed and performance make FastAPI a popular choice for ML-based applications.
10. What is the difference between Django forms and Flask/FastAPI form integration? Django has a built-in ORM (Object-Relational Mapping) that simplifies database operations, and it integrates smoothly with Django projects. Flask and FastAPI don’t have ORM support, but you can easily integrate third-party ORMs like SQLAlchemy
.
These are some mostly asked FAQs about Django vs Flask vs FastAPI