Anki Reviews

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

Anki mentions (850)

• Show HN: Coding-Flashcards – Learn Rust, SQLite, or Godot from First Principles

  Thanks! I'm using [Anki Panky](https://github.com/kamalsacranie/anki-panky) for generating the flashcards and then [Anki](https://apps.ankiweb.net/) itself for learning them. - Source: Hacker News / 2 months ago

• Learning Languages with the Help of Algorithms

  Careful using the Anki name, the original author of the app recently registered a trademark. > Anki is a registered trademark of Ankitects Pty Ltd. https://apps.ankiweb.net/. - Source: Hacker News / 10 months ago

• AnkiBuddy: Automating Flashcard Creation for Medical Students

  AnkiBuddy transforms the way medical students create study materials by using AI to generate high-quality Anki flashcards from PDF documents in minutes - eliminating hours of manual card creation. Built by Dr. David Topf and using Anvil, AnkiBuddy went from initial idea to working prototype in just 2 months, with Anvil enabling rapid iteration and continuous improvement ever since. - Source: dev.to / 11 months ago

• Spaced Repetition Memory System

  To mirror the sibling comment: https://apps.ankiweb.net/ is * Open Source * Cross-platform * $0 except on iOS * Popular enough to have a community and ecosystem around it. - Source: Hacker News / about 1 year ago

• Simple Hack to Learn 2X Faster

  Anki (spaced repetition): Use it to create cards from your notes for active recall. - Source: dev.to / over 1 year ago

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