FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 4 months ago

   When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

   The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

   🏁 Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot

   👍 Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic

   👎 Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

Microbit Reviews

FastAPI mentions (311)

• Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"

  The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / 2 months ago

• 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE

  We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 3 months ago

• FastAPI With LangChain and MongoDB

  FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 3 months ago

• I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums

  Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 3 months ago

• Async PyMongo in FastAPI

  FastAPI is a high-performance web framework that is production-ready and designed for building APIs in python, with roots embedded in asynchronous programming. It embraces Python’s asyncio model as its core principle rather than treating it as optional. This design choice gives FastAPI leverage for I/O bound workloads such as db access, external API calls and real-time data streaming. - Source: dev.to / 3 months ago

Microbit mentions (21)

• Impl Snake For Micro:bit - Embedded async Rust on BBC Micro:bit with Embassy

  The BBC Micro:bit is a small educational board. It is equipped with an ARM Cortex-M4F nRF52833 microcontroller, a 5⨉5 LED matrix, 3 buttons (one of which is touch-sensitive), a microphone, a speaker, Bluetooth capabilities, and much more. - Source: dev.to / over 1 year ago

• A 15 pound computer to inspire young programmers (2011)

  [Disclaimer: I work at the BBC.] ...later on, the BBC made[0] the micro:bit[1], another £15 (well, around £15 back then for the V1) computer to inspire young programmers. Funny to think that little did the BBC know that they'd be creating their own cheap computer. [0]: Well, the BBC didn't _make_ it exactly — rather, the development and manufacturing was subcontracted to third-party companies (though some people... - Source: Hacker News / almost 3 years ago

• And DigTech teachers willing to share?

  Https://microbit.org/ are really good in my experience too, maybe a little bit dated now and they seem to have lost momentum, but they're super cheap and providing something physical that you can actually code is pretty exciting to a lot of kids. Source: about 3 years ago

• google developed course on Rust

  Comprehensive Rust 🦀: Bare-Metal: a 1-day class on how to use Rust for bare-metal development. You will learn what no_std is and see how you can write firmware for microcontrollers (a micro:bit) and well as how to write drivers for a more powerful application processor (using Qemu). Source: about 3 years ago

• Sony backs Raspberry Pi with fresh funding, access to A.I. chips

  Kids in the UK (and elsewhere?) can access the Micro:bit computer[0], while not the same and powerful/extendable as R Pi - it is cheap, good and plenty available. It includes a LED display and motion sensor. Kids can program it using "block coding", or write Python code that runs with the help of MicroPython[1]. [0] https://microbit.org/. - Source: Hacker News / over 3 years ago