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

finbox.io Reviews

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 / 24 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 / 5 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 / 5 months ago

finbox.io mentions (5)

• TESLA IS LOW! I just bought a few shares and I think the predicted 52 week high is about 400 and low of 202! not much to lose here. what do you guys think?

  The way to value stocks is by running a DCF analysis. There's software that can do that for you, for example at: finbox.com. In a DCF analysis you have to come up with some estimates with regards to future revenue, capex, depreciation, EBITDA margins, and other things like that. Then, based on these estimates and your desired rate of return, the DCF model should tell you how much the company is worth today. Source: almost 4 years ago

• Where do you find bond market data?

  The bond market is twice the size of the equity market, but it's more opaque. I'm looking for some kind of dashboard, like Wallmine, Finbox, Trading Economics, or Messari, for real-time capital flows through Treasurys, bonds, credit markets, and the like. Any good resources out there? Also, anything good on private markets as well (VC, PE, etc.)? Source: over 4 years ago

• What was the official build sprint like in YC Startup School?

  I know finbox.com got this $10k grant but never did YC itself. Source: over 4 years ago

• How good is finbox.com?

  How good is finbox.com? The models you can choose from are already filled up. Is that data I can rely on? Source: over 5 years ago

• [OC] Technology stocks have lost some of their shine in 2021

  I made this data visualisation in Adobe After Effects. I download the stock information from Finbox (https://finbox.com) and created json file with it. I linked this data file to the animation using Javascript. Source: over 5 years ago