Grasshopper App Reviews

FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 5 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

Grasshopper App mentions (22)

• Resources for Beginner Programmers

  If they're not up to zero to robot, my team uses Grasshopper.app by Google. It starts at a shade above block programming, and has text box inputs that will automatically grade your work. It's a resource we use when someone non-technical is learning to code for the first time, and to review basic concepts with some of the senior members who need a refresher on something specific. Source: over 3 years ago

• Do u guys know any good apps to learn/have fun with coding?

  If you're just getting started, I've heard good things about Grasshopper: https://grasshopper.app/, but it may be too basic for you. Source: over 3 years ago

• Coding Class for Pre-teen?

  I have completed https://grasshopper.app entirely with no prior knowledge of coding. It is very hands on easy to follow. There is more doing coding than reading and each question has a walkthrough available. It is by Google and directs you too Google's own coding platform when you finish. It covers the basics of coding, automation, HTML/CSS/JavaScript and Google's AppScript that work with apps like Google Drive... Source: over 3 years ago

• Languages designed for typing on mobile phone

  For additional inspiration, play with https://grasshopper.app/ which is an app for learning JavaScript that has a clever UI designed for smart phones. Source: almost 4 years ago

• I think I am going to fail NCEA Level 3 due to my health problems. What can I do?

  Lots of free resources online to get you started: Https://grasshopper.app/ Https://ocw.mit.edu/collections/introductory-programming/ Https://www.coursera.org/courses?query=microservices. Source: almost 4 years ago

FastAPI mentions (312)

• I Built My First Machine Learning API — Here's Everything I Learned

  I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / 12 days ago

• 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 / 3 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 / 4 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 / 4 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 / 4 months ago