Fastapi reddit. fastapi turns async on.
Fastapi reddit Admittedly, TS can be annoying at tim Im looking for some fastapi projects to study and look over. Hi all I created a tutorial explaining how to make serverless deployments of FastAPI applications on AWS. I don't necessarily want to do things the way we do at work just because that's the only way I know so curious about using API Gateway just for the back end. IMO, Flask is easier than fastAPI. I have a big doubt. js and some other envs always run in async mode. js and I already know FastAPI. 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. run. Also, FastAPI does a lot of “magic” meta programming to provide you with a really nice API and sometimes it can get a little crazy if you look under the hood. It is an awesome package! I try to use it as much as I can. But we still use Flask in a lot of places that FastAPI doesn't fit. I would only suggest to go with FastAPI, in case you have high computing service like llama v2 queries in/out. js and that's what I wanted to know. js, and you still get the benefits of server side rendering. Users frequently share their experiences, challenges, and successes when integrating FastAPI into their projects. ♻️ Django is more like to build a website by individual developers in short time. I found a more modern profiler, pyinstrument, with native It’s got a long way to go, but the plan is to make dependency injection, deployment, and configuration very easy in FastAPI web services. no fastapi based but nowadays it's easy to integrate a portal using something like oauth2-proxy or authelia, possibly against a provider which gives you signups and other requirements you could have like auth0. It's good, but it's hardly "more than enough". Hello, I wanted to learn fast api for a project of mine. python on the other hand only does it when the program actively enables it. I There's a docs homepage video and video #1 of the Tutorial so far. Correct typing makes it possible to apply other (typed) decorators to your routes. If you're dealing with heavy throughput data such as computer vision pipelines then FastAPI with traditional REST and JSON won't hold a candle to gRPC, way too much overhead with JSON serialization and machine learning workloads in many instances require prefetch of data to keep GPUs occupied for both training and inference. At the same time though, he takes the student through step-by-step building APIs with FastAPI. Django for a full stack python app, fastAPI/flask for a BE only app that talks to react or another FE. When accessing a resource, for example, -> GET: /resource/:id the DB is queried with the resource id. If you can sense I’m frustrated, it’s because I work on a team who picked up fastapi because of its cool features, and then they got scared of async and read those lines of the docs which make fastapi sound magical at turning sync into async, and decided to throw out async and make all their routes sync, and now I’m having to try to wade I use Django for a side project and FastAPI at work. We had to choose between fastapi and flask. Might want to check it out. I've created a new experimental Reddit bot which allows users to play tag with one another. Built-in Jinja2 templating support. 6+, Pydantic, SQLAlchemy, databases(the poorly named python library, not the concepts of a database), type hints, and all the other dependencies of the framework. If I do that, does uvicorn handle multiple requests concurrently? Right now I use Azure Container Apps to host my FastAPI container, which uses guvicorn + four uvicorn workers. Also, you can use both. I've used FastAPI quite a bit - for one thing. This gives you the full power of the js frontend and fastapi is just used as a backend for dynamic content. Flask is very good, FastAPI is even better. I started with Django and then moved to FastAPI recently. Downloads Data: Flask vs FastAPI vs Django vs LiteStar Dive into the heart of Fortnite Save the World with our subreddit community! 🌍 Discover exclusive tips, tricks, and game-changing strategies to conquer the husk-filled landscapes. Hey, FYI, I've posted two videos in a new FastAPI tutorial for beginners playlist where I work through the FastAPI Tutorial (from the FastAPI docs) page by page. Edited in protest of Reddit 3rd party API changes, and how reddit has handled the protest to date, including a statement that could indicate that they will replace protesting moderation teams. Ideally this project becomes a way for other projects to get started writing their business logic in under 5 minutes while keeping the quality of code high so they can deploy it and extend it without a concern. Pydantic is required in the sense that it is listed amongst FastAPI’s required dependencies. one word: windows more words: normally these utilities are just one liner shell scripts, typically python -m <modulename>. 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. 7+ based on standard Python type hints. Creating APIs. Even with little to no linux experience, you could likely get your fastapi app running on a cloud ubuntu server in a single afternoon, including having it be accessible via the server's public ip address (or with just a little extra work, a domain name that you own). There were several big bugs that didn't get fixed for months and users had to use a fork of the library in the mean time. The factory pattern with dependency injection has a lot of benefits for a FastAPI project. After that I would look into what each part of the code is actually doing. 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. Lately I've moved from FastAPI to Litestar, I am not saying it's better, but I feel more productive with it. Noticed that the alternative is Peewee. Fastapi Vs Flask Performance Benchmark Explore the performance benchmarks comparing Fastapi and Flask, highlighting speed, efficiency, and scalability differences. Our Next. 3. Flask is quite simple to act as an api server since the simplest one could be only 5 -line code. The repo is a production-grade application written using FastAPI and I really like the vertical slice architecture present in their file structure and use of FastAPI. Tx, good luck! FastAPI tutorial for beginners playlist The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. FastAPI learned a lot from Flask, the design is quite similar, so there wouldn't be that many code changes. Maybe check it out. Serverless is one of the easiest ways to deploy them. Both are great. 0 release - as evidenced by my "skin in the game" tutorial series :) 39 votes, 17 comments. I came across FastAPI and it looks pretty promising, but I wonder why there are 450 open PRs in the repo and the insights show that the project is heavily dependent on a single person. but this won't work on windows, so they create an exe instead. g. --- If you have questions or are new to Python use r/LearnPython After your done following along with something like this. The FastAPI Contrib package has a class-based permissions approach meant to be plugged directly into FastAPI's dependency injection system. The official Python community for Reddit! Stay up to date with the latest news… This is not strictly true — it depends on what you mean by “run FastAPI” and all its features without Pydantic. Otel collector on FastAPI, our database, and a couple manual spans in the hot path. And many times people build something using fastapi when they should simply be using starlette. I started to learn FastAPI, but the official tutorial doesnt have a basic NoSQL section. Usually people make many mistakes in implementing Asyncio, so FastAPI could be tricky. you can too, with e. 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. For the last 1. It required 4+ years of experience in FastAPI. Hey, guys, for anyone who might benefit (or would like to contribute) FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities, streamlined through advanced features like auto-detected join conditions, dynamic sorting, and offset and cursor pagination. Both NestJS and FastAPI support OpenAPI (formerly Swagger). FastAPI, in a corporate production environment you are 1000% going to have to rewrite just about the whole stack before you launch. r/ShittyProgramming is participating in the Reddit blackout begging June 12th to protest the planned API changes that will kill third party apps. js to utilize full CPU cores. ``` from fastapi import FastAPI from fastapi. FastStream 0. My vote goes to Litestar. Trying to get videos out daily. 24. The app is served out of a CDN. Used Github actions to build the docker image and push to AWS ECR, SSH into EC2 instance from github runner -> copy the docker-compose. Typically FastAPI websites have a separate front-end (with React for example) which means you need to know quite a bit more. you can't just async things in a regular python program, it will never run. If a moderator team unanimously decides to stop moderating, we will invite new, active moderators to keep these spaces open and accessible to users. Get the Reddit app FastAPI routes will keep working normally by default if they receive non-HTMX requests, so the same route can serve data and render HTML at the same time. Since then the velocity of Litestar has been way higher than FastAPI. true. In FastAPI you declare your path parameters, bodies, headers, etc. Overall, I highly recommend FastAPI to Python developers, especially those working on data-intensive or async applications. FastAPI docs say if I'm running in a Kubernetes cluster or something similar, i should use a single uvicorn worker. Honestly learning them in any order will be fine. The upside is that there is a small, really helpful community for both starlette and FastAPI, and the authors/teams are really responsive. I use nginx reverse proxy to split traffic and sometimes share the same redis database to keep track of state. RISC-V (pronounced "risk-five") is a license-free, modular, extensible computer instruction set architecture (ISA). - Fourth - look at the growth profile (e. Their community ownership model vs the single ownership model of FastAPI was the main decision point for me. My questions are: What will be the best way to put the services together? Each service will be in a different Docker container? When it comes to networking between the containers, is there's anything I need to consider? In regards to the database, should have one database (say Postgres)? Hi all, I've been experimenting with FastAPI and MongoDB (and its asyncio motor driver) a bit recently. So, you get an automatic, interactive, API documentation site, for free. Its ease of use, performance, and modern features make it a compelling choice, particularly for developers new to backend development or looking to build efficient and scalable APIs. 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). FastAPI already does anything Litestar does & more, and actual companies use FastAPI (1,600,000 downloads/day). Being a person who had to think alot to decide what ORM or Auth to use or should I just write my own when using Fastapi , I totally get that fastapi isn't really mature yet, but given the number of companies keep taking it up, specially when they end up following a microservices architecture ( it is really easy then as django's templating is FastAPI, hands down. t. --- If you have questions or are new to Python use r/LearnPython Hi, I encounter a requirement that require me to learn NoSQL and my knowledge is limited to Django, that not support NoSQL. I would goto the documentation page for FastAPI and read through their Tutorial. . using standard Python type hints. Django and fastAPI/flask have different use cases. Basically, they want to understand whats going on and they are not familiar with Django. but now there is no free tier anymore in Heroku. Once GitHub makes that API available, FastAPI will migrate to it. I will be adding some more example endpoints that act Making a crud backend only, data API Django and fastAPI will be about the same. What bothers me is that Fastapi is far from the fastest or most mature async python web framework. After some time looking for the best FastAPI structure and getting inspired from existing resources like FastAPI Best practices and FastAPI Layered architecture I created this template. Documentation generation from that OpenAPI is also built-in using Stoplight's Elements, but the renderer can be swapped if desired. (Although the session auto commit at the high level router function is something I disagree with, as it’s a low level transaction, but that’s a minor gripe). Funny thing is I actually think FastAPI is a solid project, my gripe (others' and in the article here) is that the marketing is false, misleading. FastAPI has a powerful but simple dependency injection system. js app talks to the FastAPI app on the server-side (to server-side render pages depending on the Python backend) and it talks directly to FastAPI from the client (retrieving things like the user info). Originally designed for computer architecture research at Berkeley, RISC-V is now used in everything from $0. This is more of a personal project. wsgi import WSGIMiddleware import dash import dash_core_components as dcc import dash_html_components as html # Create the Dash application, make sure to adjust requests_pathname_prefx app_dash = dash. As for flask vs fastapi, i prefer fastapi for auto documentation, type hint annotations, and superior async support. If your reaction to "I don't like running into framework support issues with outside dependencies" is to transition to an even less battle-tested framework with 99. Both support decorators. Specifically you have a single file where you combine all your routers into a single "FastAPI Application", but each "domain" within the application has its own router and doesn't After seeing SO SO many benchmarks of Node. FastAPI is super nice for APIs. It would probably be less code than Flask if you include data validation, serialization, automatic documentation, etc. Silly me updating to 2. 0 adds NATS support in addition to Apache Kafka and RabbitMQ. I’ve used FastAPI and Litestar. A reddit dedicated to the profession of Computer System Administration. At least one accessibility-focused non-commercial third party app will continue to be available free of charge. All the fastapi hype is unfounded, pushed by people who don't understand ml or know littel about web frameworks. I am thinking of having separate folders per feature more like the Django style or to have folders where common files stay together, e. The docs seem to assume you are already an expert with Python 3. fastapi turns async on. To elaborate more, this library has only one developer who also maintains typer and fastapi (both of which have only him as the maintainer) and this library is clearly not a priority for him. yml file and pull the latest image from ECR, and restart the container. 😅 Maybe it's time to re-evaluate that "years of experience=skill level". FastAPI is a Python web framework that has been such an amazing breath of fresh air being able to auto generate open api json… Skip to main content Open menu Open navigation Go to Reddit Home But, a simple decorator won't do the trick, because of all the stuff going on in the background and is handle by FastAPI (especially the route handler inspection). 5+ years of experience since I created that thing. Now we needed to decide if along with frontend; we should also use Next. That's what it's great at. I've used both and personally have preferred FastAPI. 2M subscribers in the Python community. I tend write most of my permissions as custom dependencies and use them at the route decorator or router level. 975% less usage, you're clearly on Reddit too much in subs where the LiteStar guy repeatedly spams his FastAPI copycat. Started using FastAPI for the backend of a react app in my company and I am loving the documentation. 8 and thinking everything would run. I've had a bit of trouble finding comprehensive tutorials or guides that focus on FastAPI for full-stack development. What is the best course out there where I can learn fast api from absolute beginner to… EDIT: if you’re coming from a strongly typed language such as Java, TypeScript will be a close friend of yours. Therefore you have everything in FastAPI from Starlette and a few additional features, like the OpenAPI docs. I think FastAPI is really slick and intuitive, but if you dive into FastAPI directly, you may find yourself confused by things the author assumes you know about either Starlette or Pydantic. It's called Starlette. People talk about fastapi and it’s great, don’t get me wrong. 🤦♂️ I couldn't apply as I only have 1. I'm sure I'll piss off some people saying that, but the web application world is decoupled now, and FastAPI makes implementing such patterns easy while Django makes implementing them hard. --- If you have questions or are new to Python use r/LearnPython The FastAPI app would run a web app then let the user upload a file then process it in the background then send an email to the user telling him that the file has been processed, therefore each fastAPI app needs at minimum 2 workers, one to run the app and one to run the background job, otherwise the app would not work correctly. 9+ feature (was library) that implements an async event loop via system call (epoll, kqueue, etc) to address the GIL limitation of the language, but you're just making workers, not addressing the GIL issue. All that means is Flask needs more RAM for certain amount of RPM than FastAPI, if all implemented correctly. 2. getting an int from a query parameter), and documentation (all using standards). But amongst these FastAPI is the most popular by far and the only one that I personally have heard of large companies using. 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 Although FastAPI is a great framework with fantastic documentation, it's not quite obvious how to build larger projects for beginners. you are being warned about this when you install FastAPI with pip. 1. For example you can go to /docs, look up the endpoint you want to use and give it example input and then it will execute it and return you the result on the same page. It's also quite lengthy compared to other resources out there for comparable web frameworks. 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. Technically you can mount any wsgi/asgi app like flask/django/wagtail into fastapi but you don't get the automatic openapi generation on mounted subapps. Serializing will be much faster thanks to a great Pydantic library that FastAPI uses. Div(children FastAPI is awesome, but I don't usually need a lot of the dependencies. c I'm just disappointed that a great library like FastAPI which itself depends on pydantic,starlette, and many other libraries, doesn't even have a link to some really killer fastAPI 3rd party libs like the ones I mention above and now developers have to choose between which Pydantic/ORM project to commit their time to. I was using flask + jinja templates before but switched for a new project and it is just so much easier imo. js, but I couldn't really find any proper justification for FastAPI over Next. FastAPI on the other hand uses asyncio which relies on cooperative concurrency and nonblocking I/O. node. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. practicalzfs. Off course, I'm also using FastAPI as a backend provider for data in Grafana (through the JSON panel) and the frontend. I've put, seen and know about many FastAPI applications in production, and I recommend it. 0. See if it offers more description as to what each part does. I recently switched from flask to fastapi, there is a bit of a learning curve. Routing will be much faster from the box. I come from dynamically typed languages, but after using Python with type hints/mypy, TS, then Go and some Rust, having proper type systems is growing on me, to the point I literally wouldn't even entertain not using them. js for backend or use FastAPI, I was leaning towards FastAPI while he was towards Next. I made a super basic FastAPI example project. I've recently started working on a new project and decided to give FastApi a try for the backend. - Finally, the quality of docs for FastAPI is outstanding. g models, repositories, routers, config, schemas, e. My friend already knows Next. They're just tools, you should learn the basics, read the docs, and then choose the right one for the job. IMO FastAPI community is downright toxic, any discussion leads to downvotes (on reddit), angry comments, so far the fanboys have just been short of name-calling. Any resources you want access control, define a unique string that stands for each permission the resource offers, things like "ReadProjects", and "CreateProject"; and when creating a project that project creation includes creating the permission strings "Read Hi, I'm new to Fastapi. FastAPI is one of the best Python-based, light-weight web API frameworks of the available options and, in my opinion, has the best OpenAPI support out of the box of the available options on the Python side. See full list on dev. tl;dr, I'd happily bet on a FastAPI 1. This includes things like: And after years working with Django it was easy for me to work with FastApi. Or an article or blog will do a comparison from flask to fastapi when they should really be comparing starlette. On July 1st, a change to Reddit's API pricing will come into effect. to Oct 1, 2021 · In this case, a user that would have otherwise liked to try out FastAPI after reading the Reddit thread may have been instantly put off because others have replied declaring the project dead on arrival. " Flask does everything you might need a web server to do, including REST APIs. you really need to design your program around that. You create a serverelss manifest file, and you're ready to go! FastAPI is a truly ASGI, async, cutting edge framework written in python 3. Good luck! FastAPI is a truly ASGI, async, cutting edge framework written in python 3. Edit: one thing I didn't include in the first response and the dependcies just reminded me of. Several developers of commercial third-party apps have announced that this change will compel them to shut down their apps. I'm looking for honest opinions about whether you would choose FastAPI for a real, production grade app instead of a personal one. It allows you to write a lot of the functionality normally covered by a custom plug-in in a simple (two line) function. Django is arguably more production ready than any of these. Give it a look if you're using Python and FastAPI. I think the learning curve on Litestar is a little bit steeper for people new to API frameworks, but that’s because Litestar offers a lot more flexibility and customization, along with some unique features like DTO’s. FastAPI is perfect for APIs (who knew) but has less focus on integrating the front-end like Flask does. previously I used Heroku for fastapi hosting. Also, FastAPI could create API-docs automatically via swagger, which means more convenient. Associate a list/array of strings with every user and every resource you want to control access. Does anyone know where I can host Fastapi for free like on Heroku again? We would like to show you a description here but the site won’t allow us. Hello , I know there is official documentation of FastAPI , which teaches a lot in great stuff manner but I wanted to know some extra resources for… Jinja is more integrated to Flask than to FastAPI and Flask has way more plugins. It's built on top of Starlette and uses Pydantic type hints and allows you to get an API up in no time. Is speed a really important factor for you? If so, FastAPI is definitely a clear winner here. 1 and JSON Schema built-in. But starlette and its devs deserve more visibility. All logs are structured JSON that include correlation ID so we can trace between services within a single request response flow. 5 years in production, we have been making good and bad decisions that impacted our developer experience dramatically. I'm only on Unit 2 but this covers the foundations of async await, typing and it is well taught because he starts with the alternate, pre-fastapi ways of trying to do async await as he explains the concepts at a high level. 10 CH32V003 microcontroller chips to the pan-European supercomputing initiative, with 64 core 2 GHz workstations in between. 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. Just now hitting my first ORM usage in Python and the book is using FastAPI with SQLAlchemy 1. Use FastAPI and add a compatible admin panel (FastAPI + sqladmin) Use a Django-based framework that works like FastAPI with Pydantic models (Django Ninja) They both good solutions. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. This bot is backed by FastAPI, is production ready, and is open source. Imo fast api is better however since it supports async functions out of the box, and it has a lot of other cool features. Auto generating swagger docs is the thing that drove my team to FastAPI for REST micro services. You should take a look at Huma, which started as a FastAPI-for-Go and attempts to be an idiomatic Go micro-framework with OpenAPI 3. Thats why I have to choose FastAPI + SqlAlchemy. however, it is placed in some arcane folder inside your profile, which is not on the PATH variable. The main goal was to apply the repository pattern approach but always with simplicity in mind. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. I use fastAPI for some very specific tasks: for instance Websockets on FastAPI, While I keep my main app with users, views authentication and models in Django. What's weird about this comparison is that, when we're talking about already existing codebases, usually the cost of switching from something already good to something better isn't justifiable, but Flask is good enough to kill itself by making the transition rather easy. Dash(__name__, requests_pathname_prefix='/dash/') app_dash. This is Reddit's home for Computer Role Playing Games, better known as the CRPG There's two ways to having a FastAPI-like framework with a DjangoAdmin-like utility. FastAPI also introduced me to typing which I use in everything now. I really like the framework. Making a frontend in fastapi is slow. Posted by u/Polus43 - 2 votes and 6 comments ELK for logs, Prometheus for metrics, Jaeger for traces. If your website has few users then do whatever you want. And FastAPI does automatic validation, data conversion (e. I've been building my own mostly from tutorials here and there but they don't always piece together the big picture so I figure reading through a codebase would be good practice. It is the easiest way to add broker-agnostic support for streaming protocols to your FastAPI applications. And FastAPI can handle request in parallel which is faster than Flask. So far, I've been considering React along with nginx for the server setup, but I'm open to suggestions. Aug 26, 2024 · FastAPI has garnered significant attention and discussion within the developer community, particularly on platforms like Reddit. Update : Finally, completed the CI/CD pipeline for my fastAPI project. Sanic, blacksheep and async Falcon are all far faster than fastapi. FastAPI has the advantage of automatically generating examples of how to use your api endpoints at the /docs endpoint. Actually, development using FastAPI has been significantly faster for our team (and some other teams). Nobody except a couple people in this sub use or plug the Litestar project. js is just run without clustering, I decided to do my own full benchmark on my machine with and without clustering Node. com with the ZFS community as well. But, you can certainly use FastAPI without using Pydantic. People *love* it. 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? I want to build a REST api with Python, it is a long term project (new to python). And FastAPI needs less third party libraries than Flask. Quick peek out there I think it will be one of these for rewriting my current monolithic to microservices wit FastAPI (hobby level). 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 is a framework that relies in a recent Python 3. For immediate help and problem solving, please join us at https://discourse. r/FastAPI: FastAPI is a truly ASGI, async, cutting edge framework written in python 3. That's also true. It has fully functional auth, a Postgres database (for auth), uses docker, and lets you mess around in the interactive docs. The Unofficial Reddit Stata Community Consider going instead to The Stata Guide's Code At work we have a FastAPI app where both the front and back ends are EC2. The official Python community for Reddit! Stay up to date with the latest news Option 1 is to pass in a logging configuration to uvicorn run command where you configure the uvicorn loggers Option 2 is to disable the uvicorn loggers (essentially the same way you modified them in option 1) and add middleware to your application to do the logging. I think FastAPI uses alot of This can be very easy to implement. I wanted to implement a social login system using Fastapi (such as Facebook, Google, etc). With FastApi I often have to google for python packages, check if these packages are still maintained and install them to achieve the same things. The official Python community for Reddit! Stay up to date with the latest news Decorator syntax that works with FastAPI as one would expect, no need for unused or magic dependencies in routes. motor has no type annotations at all, it's quite inconvenient to use directly, so I ended up creating a small utility project (fastapi-motor-oil) to improve the developer experience. asyncio. I know that sounds like a history lesson, but what I'm trying to say is that you should spend some time reading Starlette's and Pydantic's documentation. Although I'm primarily a backend developer, I'm exploring the best front-end technologies to pair with FastAPI. By definition, Starlette cannot be richer in features than FastAPI due to the fact that FastAPI builds on top of Starlette. Now, I want to start working on authentication of the whole application. The question keeps coming up of how to deploy FastAPI applications. First of all, there is no such thing as Starlite. 138 votes, 12 comments. I'm doing it page by page. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. middleware. You can later move your static front end content to a cdn to remove pressure off fastapi. It’s possible to serve static files with FastAPI but a full fledged framework like Django will be better suited for complex web apps. I've also heard of Litestar, but have never given it a go. I'm accepting PRs, so feel free to contribute c: I'm biased 😁 but I plan to do a really, really good job on this FastAPI beginner tutorial playlist I'm building out on YouTube - it follows the Tutorial in the FastAPI docs. I’ve used FastAPI for several years but my team has recently moved to Litestar for any new services. Given the presence of FastAPI it is tempting to think about a 'backend' consisting of database&models just in FastAPI and a 'frontend' using NiceGUI, where all requests flow through the NiceGUI layer which interacts with the FastAPI models as needs be -- maybe even by 'internally' calling FastAPI endpoints or something like that to create some Just depends on the application really. I will try to explain why I need this: In my API I am allowing users to protect a resource with a password. Django is much more involved and takes more time to learn than the other two imo Hello everyone, I'm having a very hard time figuring out how to structure a quite large FastAPI app. Works with any templating engine or server-side rendering library. 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. FastAPI assumes you want to deploy APIs using a bunch of additional integrations that make the APIs robust. Coming from Django, I'm missing a lot of things there I got out of the box. 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. r/fastapi_: FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. The stack I am going to use: Python, FastAPI, Docker, Nginx. In case the specific resource is protected with a password, I want to redirect to an HTML page that will allow the user to enter a pass That's a nice little project, good job ! I would look in having rate limiting in front of FastAPI though. You could roll your own user input validation, for instance. Dec 19, 2024 · Explore FastAPI discussions on Reddit, sharing insights, tips, and community experiences for developers. I don't want to make any dogmatic statement here, I know that once you're looking to cut corners to get something really cheap it's also generally a bit sloppy - it's the game. I've recently experimented with profiling a request going through a fully asynchronous FastAPI server, to be able to track down any performance issue, and realized that cProfile was not yielding good enough results. 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. Build up your understanding with it. Just having a decorator which wraps the business logic function (the use case in clean architecture terms), will not resolve any sup-depencies, the use case has. js vs GO where GO by default can use full CPU cores whereas Node. Introducing FastAPI and some of its interesting features. layout = html. You're probably going to have a reverse proxy in front of your uvicorn/gunicorn setup anyway, and NGINX or HAProxy are a lot more capable of handling a lot more traffic. FastAPI is a truly ASGI, async, cutting edge framework written in python 3. github stars) of FastAPI compared to Flask/Django. O man, thats unfortunate. Grafana/Portainer have their own solutions, but I would like to have one central solution (read: Grafana/Portainer/Frontend AND FastAPI). Started using it for weeks, it’s really amazing what you can do with it Using FastAPI to build an API to serve a model (use case detailed in the post) Deploying the API with Docker and docker-compose Automating the deployment on AWS using a CI/CD pipeline powered by Github Actions Hi, I'm looking for some node library that makes it easy to create APIs fast with automatic OpenApi documentation like FastAPI (python) is there… From that perspective, FastAPI is probably a better bet for job security. At my startup, we use FastAPI and Next. This is great feedback. Get the Reddit app Scan this QR code to download the app now. From a technical perspective, FastAPI is simply better. That you get with FastAPI by default (it's probably the reason why you would use it). 9. u/manfre - Thanks. I'm stuck in a hard choice this days between Go and FastAPI (which is a framework based on Python) My main goal is to write some APIs for a pretty complex backend who is supposed to handle many requests. Team Manager is a simple project that combines two new (ish) frameworks, Flet and FastAPI, it is not complete and it is not perfect as the aim of it is to give you some insight and encourage you to try Flet and FastAPI Project build : 1- frontend with flet 2- backend API with FastAPI 3- backend database with Postgresql Likely you don't really need fastapi at all then since wagtail seems to automatically make a REST api available based on your CMS setup. I never actually learned flask I’d probably wager based on the little I know of Flask that it and FastAPI are good starting places. 7K subscribers in the FastAPI community. FastAPI is a framework really fast, and I have read that it is comparable to Go in terms of performance. 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. Websockets can be created in both. dyyqp yqijx bzegda gev vsxgz vbuzrat jqmmt dfhx xsvte vtrc