Fastapi vs flask reddit. AWS Lambdas used to run short-lived applications.

Fastapi vs flask reddit " FastAPI is more of the equivalent to something like Flask-Restful or Flask-API (tools built on top of Flask to help quickly build APIs). It would probably be less code than Flask if you include data validation, serialization, automatic documentation, etc. Creating APIs. For HTTP calls I used requests in Flask and httpx in async mode in FastAPI. Python vs node would make more sense. If you’re going with Python, might be worth it to have a quick look at FastAPI. but i am seeing multiple commits from developer per day, so i think at least project is on a very active development. I’m currently on a project using exaclty this architecture and it’s a pain. It’s fine, but I will say I think Flask is probably on the way out. It is much easier to set up a project with a self documenting API using FastAPI vs Flask. And if your backend is async, FastAPI is amazingly fast. You can technically use react in the html of your flask project. And articles should stop comparing them. ultimately, the database models and pooling are part of a larger infrastructure. I've put, seen and know about many FastAPI applications in production, and I recommend it. ” and “in any of the cases above, FastAPI will still work asynchronously and be extremely fast. io and the cli has been growing rapidly in the typescript community. FastAPI, on the other hand, is built for high performance from the ground up. I am a junior python developer, I worked with both Django and FastAPI, as I use React for frontend so I have to use DRF if using Django. Dec 19, 2024 · Explore the differences between FastAPI, Flask, and Django in this Reddit discussion, focusing on performance and use cases. I think the best parts about Flask are the many plugins and the fact that it's been around so long that there are tons of tutorials. Note: FastAPI sponsors both encode, the organization that is in charge of maintaining httpx, uvicorn, and starlette and also Samuel Colvin (Pydantic's creator). Of course it's faster than Django, FastAPI, and Flask. Between Django and flask, go with I’m currently on a project using exaclty this architecture and it’s a pain. Flask has the benefit of being around much longer, therefore there are more users, more guides, and more extensions out there. significant contributor is issue with fastapi as only 1 person maintain it. Flask-raw could handle 13,574 requests per second. I also have a pool of pgbouncer that is used by all my infrastructure. What is Flask? The answers here will be biased because we are on FastAPI and not Flask. I really like FastAPI. I used Flask for a long time, but Django-Admin is just awesome. Just now hitting my first ORM usage in Python and the book is using FastAPI with SQLAlchemy 1. ” You also have people latching on to this guy scaremongering about async. Flask and Django are the most popular python web frameworks. --- If you have questions or are new to Python use r/LearnPython Flask IS awesome! I've coded in FastAPI, Django, and Flask and they each have their pros and cons. FastAPI), due the nature of concurrency and saving a few (a lot The difference would be that your Flask/Jinja pages would call the FastAPI for data, effectively separating the front and back ends. So basically, if it's something you would have built with Flask, build it with FastAPI or Starlite or whatever. For me Python doesn't compare with anything else, in terms of dev experience. To me it is a serious problem that fastapi’s docs don’t themselves take any stance on best practices, sync vs On this tech empower benchmark, there's Flask-raw. I’ve had the chance to read some of the code for FastAPI in a couple of my friends projects, and it looks promising. json() This is not a "sync VS async" test, there's probably a lot more to it. So, I don’t think either will be useful for your application. Flask combined with flask_pydantic_spec and flask_openapi3 (though not mentioned in the article) don't support OpenAPI on Windows 11 very well, same for Starlite and Starlette. Imo fast api is better however since it supports async functions out of the box, and it has a lot of other cool features. Prisma python has bindings to the rust based cli by prisma. Noticed that the alternative is Peewee. I think they are both great, and I use both professionally. Robyn does a meaningless fraction of what those frameworks do. Flask is used more for quick simple solutions. If I was tasked with building an API service I would absolutely use FastAPI over Flask. That said, even Flask isn't very fast. Mar 29, 2024 · A Comparative Analysis of Flask and FastAPI for Modern API Development. in that case, wouldn't you benefit more with async frameworks like FastAPI than Flask? FastAPI has improved a lot! Now I know the name says its designed for developing API's, but if all I am doing is serving Jinja2 templates and htmx would you say this is a viable combo for building a website with Alpine JS? I was thinking of using Astro js, but considering macros can do the reusable components and Jinja2 has auto escaping for protection from XSS attacks (obviously you have to FastAPI seems promising, but the extensions and tools are not yet mature. It says “If you just don't know, use normal `def`. You either need to set up some annoying crap (checks for the existence of the db objects) to make it work in such a way that the script can be re-used to initiate a db on say a fresh instance or a development environment, or do something weird like deploy a commented out First, flask vs node isn't really a proper comparison. Jul 7, 2024 · When it comes to building web applications and APIs, two frameworks that often come up in discussion are FastAPI and Flask. In fact, Django is a lot easier because you have a standard set of toolkit, most of them integrated with each other really well, and other third party choices do use the same API, makes your life easier. I'll probably try FastAPI again soon because I loved how it was focused on APIs and the was it handles typing is great. I absolutely love Starlette and use it for small projects all the time, but it fits more the Flask way of thinking: pick the best independent tools for the job at hand. I use both Flask and FastAPI for my projects. Keep in mind react is a javascript library, not a framework. We also have to use (and maintain) a code that is used as a WSGI to make the link between http request (from api gateway) and flask. It's faster than FastAPI. Flask has the benefit of being old and stable, but FastAPI is in a really good spot now and shouldn't have any more breaking changes if you start your project today. Edit, typo, I said the baby rather than navy! Possibly that was a more amusing comment :) Jul 19, 2020 · With Uvicorn Workers FastAPI is nearly 48x faster than Flask, which is very understandable. But there seems to be a common theme now where people just say "no don't use Flask, use FastAPI" and I think a lot of it stems from where FastAPI sits in the stack (and in dependencies). Generally Flask on a Greenlet powered WSGI server (Meinheld / Gevent) can offer comparable throughput as an async-first ASGI framework like FastAPI. As for FastAPI, I tried to use it for a recent project but ran into memory issues when load testing. In cases where flask or django would keep an entire process busy just waiting for a response, FastAPI will continue serving responses. You have mentioned at the post there is no need of Flask frameworks . Do you use pydantic to validate models on fastapi? No, I read the json directly by doing await request. I think if most professionals had their pick at this moment to do a project from scratch, flask’s bread-and-butter functionality is being rapidly eclipsed by FastAPI. The references are also a bit limited at the moment, in case you stumble on roadblocks. But yeah, go with FastAPI. i saw FastAPI and it looks like "better" at building API, if you don't need full web app. For example, I do expect my sqlalchemy models (whether flask or falcon or fastapi) are sourced by my celery jobs as well. Is speed a really important factor for you? If so, FastAPI is definitely a clear winner here. Silly me updating to 2. As discussions on platforms like Reddit highlight, the comparison of FastAPI vs Django vs Flask continues to evolve, with many developers recognizing the unique advantages that FastAPI brings to modern web development. Flask is great for smaller sites, lightweight APIs, or even really quick Proof of Concept ideas. 5. I can spin up a GCP App Engine endpoints with their standard python runtime using a basic Flask app (standard runtimes are much cheaper and faster to scale instances) while a FastAPI app has to have a custom image to deploy (more expensive and slower to scale instances). Heard good things about Go, but haven't used it myself. Django as a full web framework comes with many built-in features like orm, authentication, etc. Ultimately for me, I went with Flask more recently because things like authlib are a bit more stable on it. If you are starting from 0 and deciding which to learn and you already know front end I would go with fastapi. e. ASGI vs WSGI, so i ran with 1 concurreny: FastAPI - UvicornWorkers: Time taken for tests: 1. This is actually an extremely common method for building sites. Type hints are awesome, auto generated interactive docs make iteration time super fast, documentation is fantastic. FastAPI is simple, does the job, and comes with everything you need. One big drawback I see with it, especially as it relates to FastAPI, is the current disarray with designing a REST API in flask. In Django, you are overwhelmed by FastAPI, Starlite, and the other new-generation web frameworks are more like replacements for Flask than for Django -- there's really not an equivalent "full stack" framework among them yet. Flask vs FastAPI vs Sanic (HTTP requests handling ) What would you recommend for an application that is expected to receive and send out a huge number of HTTP requests in a short amount of time where each request would require a DB(Cosmos) call? Flask is an obvious contender in the web-space as far as Python goes, though I'd argue there are much better and much more scalable solutions than it when talking about python. r/Python • I created GPT Pilot - a PoC for a dev tool that writes fully working apps from scratch while the developer oversees the implementation - it creates code and tests step by step as a human would, debugs the code, runs commands, and asks for feedback. Quick peek out there I think it will be one of these for rewriting my current monolithic to microservices wit FastAPI (hobby level). FastAPI is create for building robust APIs due to including support for Pydantic models and built-in support for generating OpenAPI docs. It doesn’t particularly feel as modern as something like FastAPI. It feels really wrong. github start, and used by can be a factor which tell the community support. I am terrified to run my apps, say, two years from now, and find a dependency hell where "you need socketio, but for that you need this version of flask, but it Flask is for when you want to quickly spin up a small web application, for example for a demo/proof-of-concept. So i guess if you want to make an API you'd probably use this one. is FastAPI really way faster than Flask?. I don't know but since I started with FastAPI, DRF feels too heavy weight and I am not seeing any serious reason to still use DRF. Also keep in mind that Starlite and FastAPI both wrap Starlette, so if you're looking for something solid and simple (less layers) maybe go for that. FastAPI: If you want to make APIs only? But Django + Django Rest I thought fastapi would have been higher than flask now based on what I see on Reddit. It's as if the project is almost abandoned. So far I prefer the Django Rest Framework API where you can simply pass around a request object directly to functions, I think it is more obvious/less magical. If can do everything django and flask as far as a REST API can do along with some built in features that are common to an app developer to implement features like scheduled jobs right from inside the fastapi app itself instead of using Linux cron jobs, for instance. You can also see the sponsors FastAPI has (it's a big indicative of companies that are using it). If yoy want small, quick project than you should use fastapi, flask since they're just api frameworks. Is psycopg2 in Flask, then switched to psycopg in FastAPI to use async/await. If you like building your own stuff, go with flask, since you've allready know some. --- If you have questions or are new to Python use r/LearnPython I once heard it described as “the navy uses django but pirates use flask” my view is use the tool for the job. I'm a diehard flask fan and refuse to switch to fastapi. FastAPI has to be one of the most overhyped frameworks. This results in faster response times and a more streamlined development process. Not much of a 'comparison'. FastAPI is super nice for APIs. Besides, you can actually mount a Flask app under a FastAPI project in the same interpreter if you need to. The focused pitch by Litestar was always "We're a copycat of FastAPI, but we're working on it as a team and not primarily built by one person like FastAPI I've used both (FastAPI only recently) and I really like FastAPI. If you’re experienced with languages like NodeJS or Go, you will find that its performance is on par with them. I ran more tests to test out Flask with a Quart combined with quart_schema is quite good as well. That you get with FastAPI by default (it's probably the reason why you would use it). Flask might be a good framework, but fastAPI might not be. Also, you can use both. The problem is that I am not clear on which to pursue. Following a more comprehensive comprehension of framework types, we shall now redirect our attention toward FastAPI and 80K subscribers in the flask community. I’ve been experimenting with building a large fastapi project for a client and recently started using prisma cli for managing my database migrations. I used the serverless framework to deploy my FastApi. FastAPI is a framework to make APIs and it's based on flask. Feb 1, 2024 · Overview of the Flask vs FastAPI vs Django Comparison Flask is a suitable option for small projects like your blog, which you can customize to fit your preferences. Or just for learning the principles of web development. Flask version upto 1. And since our priority is to choose the one that’s most lightweight and agile, we narrowed it down to Flask and FastAPI. They're just tools, you should learn the basics, read the docs, and then choose the right one for the job. FastAPI is designed for APIs. 0. For one example, session cookies; Flask has those built-in, with a signed client-side value similar to gorilla's securecookie. Here are some comparisons we made between FastAPI and Flask: Flask vs fastapi is less of a good comparison than say Django vs fastapi since the point of both is to be feature-rich, although fastapi does seem to be specifically geared to api dev. Flask has a much larger infrastructure of support and development, while FastAPI still hasn't hit the 1. May 5, 2023 · Flask VS FastAPI パフォーマンス. I wouldn't worry about it not being supported, since worst case scenario, you could probably switch from FastAPI back to Flask very easily. But we still use Flask in a lot of places that FastAPI doesn't fit. Dec 27, 2024 · FastAPI vs Flask Performance: FastAPI often outperforms Flask in scenarios where data validation and serialization are required, as it leverages Python type hints to validate data efficiently. No compared to flask (if flask has all the features from #2 implemented), yes compared to FastAPI. Even Web. This can lead to slower performance under high load or when dealing with I/O-bound operations. But Flask uses threading for concurrency and it's I/O is blocking. It looks like fastAPI uses Starlette and is vastly more popular (13K stars on github vs 4K) But when I look at the readme, it seems the only difference between the two projects is that fastAPI is using pydantic (which I don't need), and is adding some syntactic sugar to make the hello world look more like flask (decorated routes etc) Jun 6, 2023 · At Singularity Energy we have started using two different Python web frameworks to power our backend server code. FastAPIは高性能なASGI(Asynchronous Server Gateway Interface)フレームワークであるStarletteを基盤として開発されている。一方で、FlaskはWSGIサーバとJinja2テンプレートエンジンを基盤として開発されている。 A use case where I apply this combo is the following: You have a very heavy backend process, in this case, the user requests a document that is composed of multiple sources (ocr pdfs docs, webscrapping data source and calculations based on that data), the process can take up to 2-4 minutes, and multiple users can request their own document, so, you queue these jobs with celery (now we are oh this seems to be a real flask vs django question, you guys remember? When people was asking what to learn: Django or Flask, the best answer was: Django, then Flask! The Reason was simple and I would still go that way: Django has better documentation, while flask brings you fast to the result you are looking for. An analog to flask in the async world would be quart Flask is great because of the huge extendability and customizability. docs) I don't think Flask is dreaded, but it also doesn't seem that will continue to grow as it grew in the past since it lacks features that are growing fast (async There are tons of web services that are not APIs. Downloads Data: Flask vs FastAPI vs Django vs LiteStar. I have a lot of experience with Flask + Aws Lambda using Zappa. I will probably reevaluate in the future to see if there are ports of the more popular Flask extensions like I see has started to happen with a few of the incompatible extensions (Flask-CORS: Quart-CORS, Flask-Restful: Quart-OpenAPI) The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. My guess would be that people are increasingly using more type hints in Python and moving from Flask to FastAPI (type hints, async support, some nice features included - eg. Use Cases and Project Suitability Choosing the right web framework for your project requires careful consideration of the framework's use cases and its suitability for your project requirements. My vote goes to Litestar. Django has a much steeper learning curve, but once you are familiar with it you can rapidly build very powerful, production-ready web applications that can scale well and handle I’ve been experimenting with building a large fastapi project for a client and recently started using prisma cli for managing my database migrations. Flask doesn't really do async - however, if you're looking for a framework that's python-based and has built-in async features, look at FastAPI. Flask is easier to get started with. While FastAPI is great because of the async support it provides, for an e-commerce/mobile app API I would just use Django with Django Rest Framework because you're not going to have to reimplement a bunch of logic to create users, sessions, authentication, admin views, etc, etc. Sep 24, 2024 · Flask vs FastAPI - FAQs Which is faster, Flask or FastAPI? FastAPI is generally faster than Flask due to its asynchronous support, making it ideal for handling large volumes of concurrent connections and I/O-bound tasks. However, looks like it is a young project, which concerns me for the bugs and not production ready. Flask: ~3,500,000 FastAPI: ~1,200,000 Django: ~560,000 Pyramid: ~110,000 Bottle: ~100,000 Sanic: ~30,000 Quart: ~18,000 LiteStar: ~900 If FastAPI doesn't have enough community support for your liking Flask or Django DRF are what a person who doesn't spend too much time in Reddit subs Dec 27, 2024 · However, for projects that require robust data handling and performance, FastAPI is increasingly becoming the preferred option. FastAPI already does anything Litestar does & more, and actual companies use FastAPI (1,600,000 downloads/day). I’ve used FastAPI for several years but my team has recently moved to Litestar for any new services. Also, on a side note - while using FastAPI, keep it async as much as possible. Flask is very good, FastAPI is even better. But one comment states: " this article reads like it was written by an AI. Have only used flask and Django, flask has really great documentation and was super quick to get up and running, and pretty much every beginner question out there has been covered in tutorials and forum posts online. Flask: Good for small projects, if it's simple, go with flask. FastAPI is perfect for APIs (who knew) but has less focus on integrating the front-end like Flask does. It is working fine but there are so many extra folders and heavy bloat added (node modules). Most Flask apps at a big company will just be internal tooling anyways, so the faster/easier it is to get something working, the better. Since then the velocity of Litestar has been way higher than FastAPI. If performance is a key concern for your project, especially for API development, FastAPI might be the better choice. I’m using FastAPI for my side project that uses spaced repetition to teach Python fundamentals. Has tremendous amount of potential, but will require a little more heavy lifting on your end to accomplish more complex goals. I have to say I fell in love with FastApi, the type hints and the dependency injection. 24. For flask, i think embracing ASGI should be a roadmap. From what I've read, Flask and Django can do all that Express can (Routing, templating, session management, unit-testing, REST support etc. Jinja is more integrated to Flask than to FastAPI and Flask has way more plugins. Flask is easy to get started with and a great way to build websites and web applications. Flask is extremely potent at being a well documented tool for quickly getting projects off the ground and into proof of concept/ prototyping. If you plan to use async, FastAPI is better in that regard as well, even though Django team has done a good job in this area Flask is NOT significantly slower than FastAPI. py and Falcon is a good choice these days. Switch to fastapi if you think it fits your needs more when you are ready. 0 uses a synchronous model by default, which means it processes requests one at a time. The place that it is really going to matter for getting your to the through put you need is how you optimize everything. Every time someone mentions flask now (and django as well) someone says "no use FastAPI. That's what it's great at. from flask import Flask app = Flask(__name__) @app. And after years working with Django it was easy for me to work with FastApi. 3K subscribers in the PythonLearning community. All that means is Flask needs more RAM for certain amount of RPM than FastAPI, if all implemented correctly. FastAPI - Pure Uvicorn: Time taken for tests: 2. Which sounds like it should obviously be a great idea, but in practice leaves you having to make loads of smaller decisions which can really slow down development. I would learn Flask first and then FastAPI. For those exploring the FastAPI vs Flask vs Django Reddit discussions, it's clear that FastAPI is gaining traction for its efficiency and developer-friendly features. Despite being relatively new, FastAPI proved to be much faster than traditional frameworks like Flask and Django. 8 and thinking everything would run. It made me nervous so I switched back to Flask. Performance wise, Django REST framework is known to be slow, since Django itself isn't very fast. Does fastapi still have any advanatge vs flask in such a use-case in terms of performance? eg async shouldn't really help in this use-case? When I look at the techempower benchmarks I assume my use-case would be similar to "flask-raw"? Jul 7, 2024 · Flask vs FastAPI Performance. Need a piece of advice on choosing Frameworks such as Flask-Restx , Flask-Restful , Flask-Restplus How did you do serialization , de-serialization If you have any github repos sharing that will definitely be helpful No. Sep 24, 2024 · FastAPI is generally faster than Flask due to its asynchronous support, making it ideal for handling large volumes of concurrent connections and I/O-bound tasks. It’s possible to serve static files with FastAPI but a full fledged framework like Django will be better suited for complex web apps. Also, FastAPI has 1k+ open issues and hundreds of pending PRs with very rare responses from the maintainer. We started by using the lightweight and widely used Flask framework for the bulk of… I use Django for a side project and FastAPI at work. Hello, I'm going to build a microservice that processes images and does OMR on them, and I'm torn between using Flask or FastAPI. I’ve done two 20 minute YouTube vids with that stack plus calling a third party API (Chatbot Python and Flask video, and Flask with the Reddit API). I am not much familiar with FastAPI. Overall, it seems like Flask is the best choice for a super lightweight application, but I wanted to get the community's input. Some extra information, The API server will be paired with a React Frontend which will not be done by me. I too can build something quickly that can beat their metrics, so can anyone here. Pros and cons to both, Django will get you an app up quicker in my opinion (and dependencies are maintained vs the minefield of Flask extensions), but as it grows and becomes more complex, and you suddenly need options, Flask (which got you there more slowly) really starts to shine and work with you rather than against you. Django: If your backend is quite complex and you want a lot of things like auth, orm etc, then go with Django. QuerySet optimization, caching, proper data modeling, data denormalization in certain cases. If you're looking for up to date tutorials, I just published a free course on Udemy about building APIs with flask Nov 1, 2024 · Therefore, when choosing of FastAPI vs Flask, consider the specific plugin or library you need and evaluate its active maintenance status before deciding. For example, you can use Django to serve your web app files (html css js) and FastAPI to host the API for your database, for example. The two biggest packages—flask-restful and flask-restplus—have both not bee Django is arguably more production ready than any of these. so on. But, that project started two years ago and the Flask app I stood up in a couple of days a few months before is still in use today. I'd say django should be used for larger projects because of built-ins and it forces file structure. If you need a Fastapi like API, then use django-ninja which is heavily inspired by Fastapi. Flask-restful isn't actively developed anymore (last commit as of today is 8 months ago). But once you start needing more than just serving up pages or data then you need to do it yourself. My aim is to write scientific programs with the least possible effort to maintain them in the next years. I've used FastAPI quite a bit - for one thing. Flask does everything you might need a web server to do, including REST APIs. The article makes the simple, easy to understand point that Flask and FastAPI are not to be compared. I am not against the whole trend of moving to web-based GUIs, but what I am afraid of is the whole overhead that comes with them. JS is not "trash" by any means, so you're already showing bias. Flask doesn’t really do a great job at guiding fast/easy best practices. . The standard library is not a lot like Flask, because it still leaves you to implement everything Flask does on your own, before you actually get to begin writing useful endpoints to build your actual app with. Haven’t really had too much experience but from what I’ve read in the Python sub is that it’s pretty good. route("/") def hello(): return "Hello, World!" I would wager that Flask is probably the second most popular python framework after Django in the industry. Django is used more for complex, large, and often multi-user applications. If you're looking to build REST APIs in Flask, I recommend flask-smorest or APIFlask. Dec 19, 2024 · In conclusion, while both FastAPI and Flask have their strengths, FastAPI's performance and ease of use make it a compelling choice for modern API development. FastAPI is, well, a great platform for building APIs fast. While FastAPI is best suited for developers who require comprehensive API features and great performance, Flask is best for those who want simplicity and flexibility. Their community ownership model vs the single ownership model of FastAPI was the main decision point for me. I'd rather prefer to go with FastAPI or Starlite or Starlette. That's why the other benefits of FastAPI, like typing and self-documenting API are great. I use it with Django, because it's batteries included, albeit not the fastest. AWS Lambdas used to run short-lived applications. If you use it with pydantic and make use of the automatic documentation generation, its wonderful to work with. Some of my current Flask APIs at my current job are likely to be subsumed by a Django app that the apps team is building, eventually. Make a file, type like 7 lines of code to create a route, and add stuff as you go. Routing will be much faster from the box. So consider using the latest versions. Maybe give it a couple of 3-5yrs more. 0 mile marker. If you’re not going full production ready, this is a very fast way to hack up an app. Nov 29, 2024 · FastAPI and Flask are both strong frameworks, each with unique advantages. This can lead to slower performance under high load or If you're just comparing Express with Flask, then Express. 182 subscribers in the Trends community. 3. Fastapi is not the equivalent of django or flask - I wish people would stop making this comparison. you can take flask (quant), django for it for comparision. Can't anwser for Django since i've only done som small projects. I often read the pro cons that fastapi/flask is faster etc, but if you need orm, authentication, social auth etc, you need to pick 3rd party solutions which might be abandoned, might contains bugs. FastAPI is for building high-performance APIs with real-time data processing and will handle significant traffic. I have used Flask in the past, but recently I have been using Nodejs, so the async nature of FastAPI will make it similar to Nodejs, plus I have read that it's better for making APIs. But amongst these FastAPI is the most popular by far and the only one that I personally have heard of large companies using. 681 seconds. While it is good for quickly setting up small, prototype/demo APIs, but for anything serious there's no way it comes close to DRF. Have the serving over API then create flask-fastapi or whatever to communicate with the serving tool, it will handle the batching and resources utilization since you dont have to reinvent the wheel, and this is an expensive wheel. It's much simpler and the automatic documentation/ability to pull data through csv is super nice. Or maybe NextJS vs Flask. Jul 6, 2024 · Flask vs FastAPI Performance. Fastapi is definitely an API first mentality (I mean, it's in the name) but missing a lot of creature comforts that make flask nice Not really, I want to setup a profiler but I saw some benchmarks comparing the two. When comparing FastAPI and Flask, it's essential to focus on performance and ease of use, particularly in the context of building APIs. Serializing will be much faster thanks to a great Pydantic library that FastAPI uses. Even if you’re using flask, which is notoriously slow, the overhead flask adds is minimal compared to the business logic and time spent waiting for IO (ie a database 90% of the time). Good luck and have I like fastapi for API but, as someone building an actual webpage with it, I've wondered a few times about splitting it and redoing the website part with flask. But One big advantage of node, which you already identified, is that you can more easily leverage (FE) JS resources. Only heard of fastapi today so will have to look at that but can +1 flask for sure I recently switched from flask to fastapi, there is a bit of a learning curve. Alembic has issues if you try to set up your initial migration and there are tables / other db objects already there. For APIs I'd give FastAPI a go, as it seems really cool (as opposed to DRF or even Flask). More of a 'Why I like FastAPI more than Flask'. It will depend on what is you project if you are interested in building API and micro services. Typically FastAPI websites have a separate front-end (with React for example) which means you need to know quite a I don't like the flask global method, and at first glance I also don't like the fastapi depedency injection method (but I have not tried fastapi yet, perhaps I will like it after trying it). 615 seconds. I LOVE FastAPI, and you could easily swap that in for Flask - YouTube API with FastAPI. For FastAPI, this is a really nice project and as Flask it is an easy job to learn. Before making the final decision, we researched several mainstream frameworks including Django, Flask, Tornado, and FastAPI. Normal flask repo could handle only 552 requests per second. I feared, that the Django ORM is less powerful than Sqlalchemy, but I was wrong. Comparing them is something the FastAPI docs tells you not to do. Lately I've moved from FastAPI to Litestar, I am not saying it's better, but I feel more productive with it. FastAPI does what it says. Note that Grinberg is comparing the The things you can make in react, and in a composable, reusable, component-based approach are way easier to do and maintain in a react framework vs with flask. flask/fastapi/etc are microframeworks, they are meant for APIs and smaller sites or projects - they become difficult to maintain as proj grows, they dont have a mandated proj structure or management tools May 23, 2023 · According to a benchmark study by Miguel Grinberg, FastAPI can be faster or slower than async Flask, depending on the web server and the Flask async type. Under the hood, FastAPI uses the asyncio library which allows Python developers to write concurrent code. Flask the increase can be significant but it's really going to depend on your app. Auto generating swagger docs is the thing that drove my team to FastAPI for REST micro services. From what I've read online, Flask is more lightweight - but FastAPI is better for APIs. As for flask vs fastapi, i prefer fastapi for auto documentation, type hint annotations, and superior async support. Flask feels useless, we don’t use the powerful api gateway resources, we have packaging issues and cold start. personal project you can use anything, for production and large scale you need to take everything consideration Following the previous comment, learning the basics of Flask is a 20 minutes tutorial. I've used it on previous projects. FastAPI assumes you want to deploy APIs using a bunch of additional integrations that make the APIs robust. If you understand flask you should not have a hard time learn fastapi later on. However if you need just a well scoped micro-service where you need to squeeze the most the perf possible, using flask+SQLAlchemy(for models only)+raw SQL queries can achieve better results and for heavily IO bound tasks I would look into an async solution instead of Flask (i. FastAPI vs Flask performance. Maybe Node is faster and more suited to web-apps, but that doesn't mean Python isn't a viable option. So I switched. Starlette is too involved for my tastes, though I'm aware of it being the base of FastAPI and others. It ranked among the slowest API frameworks. Both Flask and FastAPI are libraries for webservers. FastAPI feels like the next generation from Flask. Welcome to r/trends - your go to community for exploring and discussing the latest trends from around the… As someone who has been using FastAPI in a corporate production environment for the past few months without any problems, would you mind making a list of things we ought to think about? We used to write apis in Flask, and I'd say we're maybe 50% more productive in FastAPI, and we produce half as many bugs. FastAPI vs Litestar with SAQ - What fits best Hi, As a novice (only deployed a Flask app with very limited scope before) I need some feedback on deciding what framework to use. It is a little clunky for building more traditional web apps compared to Flask; but, it is very doable. In fact there's literally dozens of tiny frameworks like Robyn that already exist (starlette, quark, sanic, etc) I rarely see that in Flask. FastAPI on the other hand uses asyncio which relies on cooperative concurrency and nonblocking I/O. Learning Flask is a starting point but there is other things to learn. I would argue that if you've ever had any experience with Python on the modern (last 5-ish years) web, FastAPI should absolutely be on your radar. My 2 cents, just pick a framework that looks like it's recommended for beginners and the code samples don't give you nausea. ) They're also used in a bunch of pretty big web apps (Netflix (Flask), Instagram (Django)). Both are lightweight and flexible, but they have distinct features and use cases. One of the key factors that made FastAPI a great fit for my AI app was its excellent support for async code, which is crucial when working with I/O-bound operations like API calls or database queries. Starlette is the web framework that fast api is built on and it similar to django or flask - it’s actually closer to flask due to minimalism but supports asynchronous requests. Flask: Time taken for tests: 5. Flask is a Python micro-framework for web development. (Sorry about the weird title but I had no idea what else to write) I'm confused as to what role FastAPI and Django play: if I were to make an app using React (for the Frontend) with all the backend functionality being in Python (like deploying a Machine Learning model from PyTorch), is it enough for me to just know FastAPI to make it work? FastAPI is asynchronous- as long as you're careful with your code it does a much better job of taking in more requests while waiting on things like database actions to occur. It's also not the best choice in Flask for REST APIs. FastAPI learned a lot from Flask, the design is quite similar, so there wouldn't be that many code changes. Let’s dive deep into each framework and compare them across various aspects. Nobody except a couple people in this sub use or plug the Litestar project. FastAPI is great if your primary task is APIs. fastapi is a flask fork. I know how to use both to make basic web apps, and Flask has just been an overall better experience. I understand that Django has a strict method/ design pattern and comes with a lot of prebuilt features whereas Flask is a barebone do as you wish setup. When using async with FastAPI vs. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. 541 seconds. I was under the impression that I was a dinosaur for not switching. Starting with a lighter framework like Flask, Express or even Laravel (which is more battery-included but still beginner friendly) would be better. It’s just a great developer experiencing having typing throughout the project. I've checked fastapi-utils but it doesn't feel like it's there yet. Also, there are so many good features for working with APIs. ORM, admin, packages, batteries, ecosystem, maturity, the fact that it's not reliant on one person (as with FastAPI last time I checked). What's the Flask-raw? how can it be so fast? Can Flask be faster than FastAPI? Here's a link to flask-raw repo: You can do anything with Django that you can do with flask, not the other way round. It seems starlette (and perhaps fastapi) is strongly anti-compatibility Again, though, it was always for small APIs and such, rather than huge projects. Flask/Falcon/FastAPI and a lot of the other micro frameworks do not come with any batteries so you have to build them all, which that takes experience to do it better then something like Django. Flask is easy to get started with and a great way to… For a small web you do have to learn about flask-sqlalchemy (sqlalchemy itself), flask-login or flask-security, and maybe flask-admin. Flask is a bare framework. FastAPI is great for REST. Everything about learning the programming language Python. irwno xgtd ond afar kjbchaec rkt jtzgdxt tygtma sefla rbtf