Overleaf 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

Overleaf mentions (61)

• I wrote my PhD Thesis in Typst

  Many people use LaTeX via Overleaf (a Website, cf. https://overleaf.com ) rather than installing it locally. That also solves the problem of having to install locally vairous extension packages or fonts - all is already there, and after writing a paper you may submit it directly to some conferences or journals from that Web GUI instead of having to email it or upload to a third site. - Source: Hacker News / about 1 year ago

• Make sure your Resume is ATS compatible

  Yes, this is something which many don't know. Always create your resume in pdf or if its not in pdf format convert it to pdf format and then use it, as PDF is the best format for ATS compatibility. overleaf.com is great place to get Google, Microsoft, etc.. employee's Resume templates ready to use and edit for which are ATS compatible. Source: about 3 years ago

• [25F] [Java/SpringBoot/Hibernate] Not getting interviews

  23.10 M here, those skills shouldn't be rang birangi dabbe and should use deedys or jake's resume on overleaf.com. Source: about 3 years ago

• What needs to happen for ChatGPT to start generating visual answers like electrical schematics?

  I asked gpt to "create a complex circuit diagram in LaTex format. I then used https://overleaf.com to render the LaTex document gpt produced. Source: about 3 years ago

• Please review my resume for entry level software developer roles. I have applied to 400+ positions yet not callbacks..

  A nitpick: the bottom right text "created with resumepuppy.com" looks a little unprofessional. If you want an online resume website (free), there's overleaf.com which I like. Source: over 3 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