FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 3 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

Processing 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 / about 1 month 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 / 2 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

Processing mentions (345)

• Generative Art over the Years

  Reading this makes me want to fire up Processing [1] again. I remember spending hours and days with it in my early twenties. The immediacy of writing a few simple commands, hitting "Run" and seeing graphical output is still unsurpassed and created an almost addictive creative feedback loop that I haven't seen anywhere else yet. [1] https://processing.org. - Source: Hacker News / 3 months ago

• I got paid minimum wage to solve an impossible problem.

  I built a visual editor in Processing (a Java tool for people who like making things look cool), so I could easily map out the store and export the resulting graph. - Source: dev.to / 6 months ago

• The Little Book of Linear Algebra

  As an autodidact who never learned this stuff at school/uni, his lectures are what made linear algebra really click for me. I can only recommend them to anyone who wants to get a visual intuition on the fundamentals of LA. What also helped me as a visual learner was to program/setup tiny experiments in Processing[1] and GeoGebra Classic[2]. - [1] https://processing.org. - Source: Hacker News / 10 months ago

• DevLog 20250611: Audio API Design for Divooka Glaze!

  Glaze! Is an interactive media framework in Divooka that features a Processing-like interface. - Source: dev.to / about 1 year ago

• What is a modern successor to HyperCard?

  I have been following HyperCard clones for years. It would take me some time to gather what I found, but the short answer is to download a Mac OS 9 emulator (it works) and load up HyperCard 2.4.1 and have fun. Emulators page with links to versions for MacOS and Windows. https://mendelson.org/emulators.html Hypercard 2.4.1 is available at the Macintosh Repository... - Source: Hacker News / about 1 year ago