Fastapi vs flask Source Code. In today's article, we reviewed the differences between Flask and FastAPI. Its outstanding performance and modern way of building APIs have won many hearts. When it comes to Flask vs FastAPI comparison in rendering HTML, both rely on the Jinja2 templating library. FastAPI: FastAPI wraps pydantic into its framework and allow data validation by simply using a combination of pydantic schema and python type hints. FastAPI, on the other hand, is a highly performant framework that provides several advanced Pros and Cons of Flask vs FastAPI Flask. Flask battle, the choice ultimately depends on your project’s requirements and your familiarity with the frameworks. Never tried the FastAPI/Flask + SQL ALchemy, but I can assure that by using Django + DRF you will save a lot of time with basic stuff like field validation (including relationship), admin panels, authentication and etc. The straightforward approach of Flask is ideal for newcomers to web development. This can lead to slower performance under high load or Choosing between Flask and FastAPI ultimately depends on the specific use case at hand: Go with Flask if you prefer simplicity, and flexibility alongside an extensive community support system. Flask’s simplicity and maturity suit smaller projects, while FastAPI’s performance and modern features make it a potent choice for larger, high-performance applications. Choosing between these frameworks resembles selecting the perfect tool for a In contrast, Flask and FastAPI are micro frameworks used to build small scale websites or applications based on ML. FastAPI is a modern high-performant web framework for building APIs with Python. FastAPI vs Flask. So consider using the latest versions. FastAPI Extensibility: FastAPI is highly extensible, with support for custom middleware, plugins, and third-party integrations, allowing you to tailor the framework to your needs. Choosing between Flask and FastAPI boils down to your project requirements: Go with Flask if you want simplicity and flexibility for smaller projects. HTTP Methods. As a result, here’s my comparison of FastAPI and Flask. FastAPI and Flask, both esteemed web frameworks, embody distinctive philosophies and features that cater to different aspects of ปีก่อนเราสอน Course Machine Learning Deployment (ปีนี้ก็จะเปิดอีกเด้อ รอได้เลย) แล้วมีผู้เรียนถามว่า ทำไมตอนนั้นเราใช้ Flask ไม่ได้ใช้ FastAPI ในการสอน เออ เป็นคำถามที่ดี In FastAPI or Flask, high level components must import the concrete app for routing. com/freebiesWant to learn FastAP FastAPI + psycopg2 + uvicorn, on the other hand, seemed to lag behind Express. Nowadays, web developers use Python FastAPI and Flask to build small-scale data science and machine learning websites and applications. com. . FastAPI and Flask battle it out to see which Python API framework is best!Want free repositories? https://www. Both frameworks have their strengths and application areas, making them suitable for different project requirements. In addition FastAPI itself extends Starlette which is a microframework like Flask and Quart. Le développeur peut ainsi déclarer la validation et des informations supplémentaires sur les paramètres dont il dispose lorsqu’il D eciding on the right web development framework to use is vital to developing a fast, scalable, and efficient web application. Pros: Flask’s minimalistic and flexible design makes it easy to learn and adapt to various project needs. Flask vs. Use Cases: Choosing Between FastAPI and Flask. Flask is a lightweight and customizable framework that is easy to learn and use, making it an ideal choice for small projects and beginners. Ultimately, the choice between Flask and FastAPI boils down to your project requirements. It is the controller which is injected into the app. Based on your needs you might have used any of these from time to time. One option is to use the Marshmallow library to serialize your data. On contrastive grounds among "fastapi vs flask", one limitation becomes apparent: unlike its counterpart FastAPI, optimization isn’t one area where Flask particularly outshines itself. FastAPI: While both Flask and FastAPI are popular choices for building RESTful APIs in Python, they have different design philosophies and use cases: Flask is a minimalist and flexible Flask and FastAPI are python-based micro-frameworks for developing small-scale data science and machine learning web and apps. Understanding FastAPI and Flask: FastAPI is a modern asynchronous web framework for building APIs with Python 3. The choice for Performance Comparison: FastAPI vs. So, I would say Flask and FastAPI have very similar development times. The FastAPI and Flask provide FastAPI is more recent compared to Flask and was released in 2018. There isn't a built-in admin panel in Flask, but you can use the Flask-Admin extension instead. FastAPI is designed for building APIs, while Flask can be used for building web applications and APIs. ASGI, on the other hand, handles requests FastAPI Vs. FastAPI + SQLModel + gunicorn compared to Nest. Conclusion: FastAPI uses Hot Reloading, which keeps the app running while you’re making code changes. Flask Among them, Flask has long been a popular choice for lightweight web applications, while FastAPI has recently surged in popularity, especially for building APIs due to its speed, simplicity, Flask and FastAPI, two well-known Python web frameworks, each have special advantages that can have a big impact on your application’s performance and development Learn the strengths and limitations of FastAPI and Flask, two popular Python web frameworks for building RESTful APIs. In Flask, however, we inherit from the BaseSchema class, which is a regular data class and contains several methods the inheriting classes will In terms of the Flask vs FastAPI comparison, FastAPI on the other hand has built-in support for data validation via Pydantic. In this article, our primary focus is to build a web interface for machine learning applications using Flask and FastAPI frameworks and to check its functionality based on We can notice that FastAPI’s NewsSchema / CreatorSchema use BaseModel as a parent class. The first major difference you may have noticed is that Flask uses WSGI as its standard interface, while FastAPI uses ASGI. Discover their performance, scalability, development speed, community support, documentation, database support, Django/Flask (Python): Django and Flask can scale, but they are not as efficient as FastAPI or Express when it comes to handling many concurrent users. Learn about their features, performance, scalability, ease of use, and use cases. Flask/Quart are therefore best compared with Starlette, and FastAPI is best compared with relevant Flask, Quart, and Starlette extensions. Compare their performance, features, scalability, and future-proofing in this comprehensive guide. The two different frameworks offer very different features sets out of the box. It also requires a small, easy-to-understand codebase. Whether you're serving up data to hungry web applications or handling millions of requests per second, your API needs to be lightning-fast to provide an optimal user experience and ensure efficient resource utilization. With Flask, you need an extra terminal command: export FLASK_ENV=development, which allows you to make code changes without restarting your development server. Despite the fact that FastAPI is a relatively new framework, an increasing number of developers are using it in their new projects. The choice of the framework must be FastAPI: Despite being a newer player compared to Flask and Django, FastAPI has quickly become a favorite in the Python community. Although satisfactory for many applications, it operates synchronously hence might not necessarily be the best option for high-volume or time-sensitive Flask: While not as fast as FastAPI, Flask is still a performant framework. Flask 1. FastAPI uses Starlette under the hood so it is compatible. The abundance of extensions and resources makes it a solid choice for developers who value community support and a well-established framework. Flask version upto 1. FastAPI excels in performance, automatic documentation Flask vs FastAPI Performance. Compare Flask and FastAPI, two Python web frameworks for building web applications and APIs. Both FastAPI and Flask have their merits. FastAPI est livré avec la bibliothèque Pydantic pour la validation des données, ce qui facilite la validation des données. Whether you’re optimizing for performance, scalability, or developer experience, the debate between FastAPI , Django , and Flask has only grown fiercer as we approach 2025. Interestingly, Flask + psycopg2 + gunicorn beats out FastAPI + Compare Flask vs fastapi and see what are their differences. Not sure the difference between the two and if FastAPI is more for backend. FastAPI excels in performance, automatic documentation Choosing between FastAPI and Flask ultimately depends on your project’s requirements and your experience level. But for 🐍FastAPI vs Flask 🌶️v⚡ FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. As we navigate the comparative landscape, our focus shifts to practical This blog will delve into the differences between FastAPI and Flask, examining their advantages, disadvantages, and use cases, to help you make an informed decision about which framework best Flask and FastAPI are python-based micro-frameworks for developing small-scale data science and machine learning web and apps. Flask doesn’t have built-in support for running tasks in the background, so you’ll need to use a separate <del>The war has begun. Gần đây, do nhu cầu phát triển theo mô hình microservice ngày càng phổ biến, mình chủ yếu code mảng Python - Backend nên được phép chọn một framework để phát triển project mới cho công ty, sau khi cân nhắc giữa 3 framework phổ biến hiện tại sử dụng Python là Django, Flask và FastAPI, mình quyết định chọn Flask vs Falcon vs FastAPI benchmark. Flask. This comparison will help you understand their features, advantages, and use cases, making it easier to choose the right one for your needs. Flask is great for building prototypes, proof-of-concept applications, or RESTful APIs, where you want the freedom to choose specific extensions based on your needs. Flask has no such instruments for customizing the output. 0 uses a synchronous model by default, which means it processes requests one at a time. Introduction: FastAPI and Flask are both web frameworks that facilitate the development of web applications and APIs using Python. FastAPI is built on top of Starlette for the web parts, and Pydantic for the data parts. Flask and FastAPI are popular choices but cater to different developer needs and project requirements. As we have discussed earlier in the article that every framework has its own advantages and disadvantages, let’s compare them based on the following parameters: Packages: As we have seen, Django has more than 2500 packages in its library which can be considered as the full-stack web development framework IMO, Flask is easier than fastAPI. Flask, being around since 2010, has a more mature ecosystem, while FastAPI, introduced in 2018, focuses on modern Python features and performance. codingwithroby. While both frameworks can be used to develop a wide range of applications, they each shine in different scenarios. It supports a variety of backends, including Peewee, MongoEngine, and SQLAlchemy. Django suits larger, feature-rich applications, while Flask offers simplicity and flexibility for smaller projects. But if you’re looking for speed, modern features, and an API-first approach, FastAPI should be your go-to framework. Suggest alternative. Flask is a lightweight framework that is easy to learn and use, while FastAPI Comparing Flask and FastAPI. Pydantic, while not the slowest piece of the app, has recently been FastAPI vs. Lets discuss pros, cons and which framework needs to be used under what condition. Question I'm pretty much a novice in web development and am curious about the difference between Flask and FastAPI. The basics. This can lead to slower performance under high load or when dealing with I/O-bound operations. flask. The extensive list of features that FastAPI supports can be found on their feature page with highlights Flask. Compare FastAPI and Flask, two popular Python web frameworks for building APIs. Learn about their performance, developer experience, ecosystems, and use cases with examples and tips. If you’re building a simple or traditional web app and prefer full control over your stack, Flask is a solid choice. As mentioned, WSGI handles requests synchronously. F astAPI is a modern, fast, web framework for building APIs with Python 3. Each framework has its own strengths and is suited to different types of projects. </del> Let's end the war between Flask and FastAPI. Flask vs FastAPI . Performance and Speed: FastAPI vs Flask. Choosing between Django Rest Framework and FastAPI (for a FastAPI vs Django vs Flask: The Framework Showdown for 2025 👇🏼 Choosing the right web framework is one of the most critical decisions for any project. FastAPI, on the other hand, is a more Introduction. Flask offers greater flexibility for simpler applications, but FastAPI’s asynchronous support makes it a stronger option for high-performance APIs. Flask is literally the "do whatever you want" framework, whereas fastAPI has (at least what I consider) to be a pretty well-established FastAPI endpoint -> pydantic -> database (I use sqlalchemy) paradigm that's pretty damn useful for validation, doc creation, and things like pre and post processing using validators. Some of the key features of FastAPI include: Speed: FastAPI is one of the fastest web frameworks for building APIs, allowing you to handle a high volume of requests FastAPI Tutorial in Visual Studio Code. Flask : Comparaison des fonctionnalités Validation des données. It makes use of Swagger as the web user interface for API documentation. It uses Werkzeug for handling requests and Jinja2 for templating, suitable for smaller applications. When deciding between FastAPI and Flask for Python application development, it's essential to understand how they compare across various aspects. FastAPI, with its high performance and robust feature In the debate between Django, Flask and FastAPI, there is no absolute winner; each one shines in their respective domain. js + Prisma is about a 2x difference. Use Flask for small to medium-sized projects where simplicity and minimalism are important. Both FastAPI and Flask are web frameworks (well Flask is a “microframework”) to build APIs with Python. Speed: FastAPI is generally faster than Flask. In the realm of Python web frameworks, Django, FastAPI, and Flask are three of the most popular options. This detailed article offers an insightful comparison of these two leading Python However, Flask and Quart are designed to be extendable and there are extensions that provide this functionality. Django follows the Model-Template-View (MTV Flask Flask doesn’t provide any input data validation feature out-of-the-box. FastAPI performance benchmark so you can choose the most suitable for you. What are Django, Flask, and FastAPI? Django is a high-level Python web framework created by Adrian Holovaty and Simon Willison in 2003. Learn the key differences, features, pros and cons of each framework. Flask is a micro-framework, while FastAPI is a full-stack framework. 4. 6+ based on standard Python type hints. When discussing FastAPI vs Flask, both indeed offer similar features. Easy to Learn: Projects needing sophisticated functionality should consider Flask because of its ease of learning curve and abundance of third-party libraries. However, FastAPI is faster In the context of Django vs Flask vs FastAPI, FastAPI is emerging as a strong contender for projects that require real-time data types and returns, offering out-of-the-box support for asynchronous programming. After you register SessionMiddleware, you can access Request. Flask vs FastAPI Performance. session, which is a dictionary. FastAPI is designed for modern APIs that are high-performing and best suited for handling concurrent . This decoupling makes it easier to change and easier to test (along with the other benefits of decoupling). 7+ based on standard Python type hints. In the Choosing Django vs Flask vs FastAPI will help you manage your money wisely, save time and find the perfect team to develop your web product, so keep on reading. The difference in speed can be significant, especially for applications with many concurrent Introduction: FastAPI and Flask are both web frameworks that facilitate the development of web applications and APIs using Python. Easy testing Testing FastAPI endpoints are really straight forward and can be done using TestClient provided by Some of the most popular web frameworks are Django, Flask and FastAPI. Extensibility: FastAPI is highly extensible, with support for custom middleware, plugins, and third-party integrations, allowing you to tailor the framework to your needs. Under the hood, FastAPI uses Pydantic for data validation and Starlette for tooling, making it blazing fast compared to Flask, Python FastAPI vs Flask Comparison. Flask vs FastAPI: Factor-Wise Comparison. In the world of Python, the two most popular web frameworks are Flask and FastAPI, and they each have their unique advantages and use cases. It works similarly to Flask which supports the deployment of web applications with a minimal amount of code. 去年在知乎上看到一篇文章，后来想找却找不到了，最后通过关键词「5 分钟」和「四年」在掘金上找到了原文——《用它5分钟以后，我放弃用了四年的 Flask》。作者先是给出了一个手动用 if 验证请求数据的 Flask 视图函数： What are the main differences between Flask and FastAPI? Flask is a lightweight microframework that is easy to learn and suitable for small to medium-sized web applications. palletsprojects. Another key difference between Flask and FastAPI is how they handle background tasks. This is required because BaseModel comes from the Pydantic library and has the functions necessary for data validation. Both have concept of modularity via Blueprint in Flask and Router in FastAPI. Documentation: SessionMiddleware An When deciding between Django, Flask, and FastAPI, it’s essential to align your choice with your project’s unique requirements and your team’s expertise. As these are Python languages, when making an app with Python, you will have to pick one of these to proceed. Flask works well with projects that need customization and rapid development. Both frameworks are powerful tools for Python developers. Microframeworks are a great start for small projects, MVPs, or even large systems that need a REST API—including Flask and FastAPI. Comparing Django vs Flask vs FastAPI. FastAPI excels in high-performance APIs and real-time applications So, what are the differences between APIFlask and APIFairy/flask-smorest/FastAPI? In a word, I try to provide an elegant (act as a framework, no need to instantiate additional extension object) and simple (more automation support for OpenAPI/API documentation) solution for creating web APIs with Flask. FastAPI, on the other hand, is built for high performance from the ground up. Flask, with its simplicity and flexibility, is ideal for small to medium-sized applications, including web applications, APIs, and microservices. In contrast, Flask and FastAPI are micro frameworks used to build small scale websites or applications based on ML. Whether building a simple website or a full-scale web app with third-party integrations, learning It will assist in analyzing the Flask vs. This is because it uses asynchronous code, which allows it to handle requests concurrently. It is designed to make it easy to build APIs quickly and efficiently while providing features like automatic validation, The choice between FastAPI vs Flask is a critical decision for developers seeking a suitable framework for their projects. In the FastAPI vs. Flask and FastAPI are two of the most popular Python web frameworks, but they have different strengths and weaknesses. (by pallets) Web Frameworks Python Flask Wsgi web-framework Werkzeug Jinja Pallets. I wrote an application to create, update, download, and delete news in these two frameworks. This means requests are handled sequentially, and one cannot start until the previous task finishes. Django stands as the titan of large, complex projects, Flask as the craftsman of lightweight, custom solutions, and FastAPI as the pioneer in quickly and efficiently creating modern APIs. Choose Flask when you need a lightweight and flexible microframework. js + pg by over 6x. Final Thoughts. Django. In the realm of APIs, speed and performance are paramount. However, for modern APIs demanding exceptional performance, robust built-in features, and a clear API-centric approach, FastAPI takes the lead. Django’s built-in features make it easier Flask vs FastAPI: Use Cases. In the Flask vs FastAPI showdown, here we will provide a comprehensive comparison of both Flask and FastAPI based on various factors: 1. In the realm of web development, the debate between Flask and FastAPI is more relevant than ever in 2024. GitHub Gist: instantly share code, notes, and snippets. Released publicly in 2018, FastAPI is a blazingly fast Python web framework created specifically for building modern, high-performance Flask: Flask boasts a mature and extensive ecosystem with a large community. FastAPI includes an admin dashboard. A large community ensures ample learning resources, plugins, and extensions. FastAPI was built with these three main concerns in mind: Speed; Developer experience; Open standards; You can think of FastAPI as the glue that brings together Starlette, Pydantic, OpenAPI, and JSON Schema. In this comparative analysis, we’ll dive into Flask and FastAPI, exploring their features, performance, and use cases Compare Flask and FastAPI, two popular Python frameworks for building web applications and APIs. The focus on FastAPI vs Flask performance underscores the pivotal role the framework choice plays in meeting your project's specific requirements. Let's dive into a detailed comparison based on Source. In this article, our primary focus is to build a web interface for machine learning applications using Flask and FastAPI frameworks and to check its functionality based on Simply put: understanding strengths and weaknesses of options like FastAPI vs Flask can boost your career by letting you build apps better and faster than competitors. The choice between Flask and FastAPI is a significant decision that should align with your project’s goals and your team’s expertise. In contrast, Flask requires additional extensions and route-specific decorators to generate a similar Swagger UI page. Edit Flask vs FastAPI. Among some of those Take a look at Starlette's SessionMiddleware. The FastAPI ecosystem is growing fast, with more and more contributors and a rising number of third-party tools and integrations. In litestar, the handlers and controllers do not need to know anything about the app. You can check here a comparison between these frameworks. A modern framework in Python that is used for building APIs is called FastAPI while a micro web framework written in Python that is used for developing web applications is called Flask. First, we looked at a description of each framework, then reviewed the pros, the cons, and a few use cases for each. Choose FastAPI if you need high performance, async support, and automatic features for modern, scalable applications. Interest over time of fastapi and Flask Note: It is possible that some search terms could be used in multiple areas and that could skew some graphs. Flask, on the other hand, is a traditional synchronous framework. Hence, you don’t have to keep restarting the development server. The Python micro framework for building web applications. Pros of Flask. Let‘s dive deeper! FastAPI Overview. Explore a detailed comparison of FastAPI, Flask, and Django - three popular Python web frameworks. It’s common practice to either write custom validation logic or use libraries such as marshmalllow or pydantic. SocketIO Integration: A Hurdle for FastAPI (compared Therefore, working with a web framework should be quick and easy. If you want to scale your FastApi app, the effort is also similar to Flask. Flask: Admin Dashboard. The line chart is based on worldwide web search for the past 12 months. I want to create an IP reputation API and was wondering what would be a better framework to use. iycelyr pvfny zzbbd houus tluwpbn erwto wcqvqz llwy wihgwzed hotx