Stellate.co Reviews

FastAPI Reviews

1. Kurslog team

   · Working at Kurslog · 4 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

Stellate.co mentions (11)

• Show HN: Orbit GraphQL – An open source cache server for your GraphQL API

  I've been working on an open source implementation of a Stellate (https://stellate.co) like GraphQL cache service, and it's finally hit v0.1 TL,DR; It is a cached proxy for your GraphQL API with automatic purging. Deploy it in front of GraphQL API, and it will start caching all requests passing through it. - Source: Hacker News / almost 2 years ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Stellate - Stellate is a blazing-fast, reliable CDN for your GraphQL API and free for two services. - Source: dev.to / over 2 years ago

• Fundraising Stages Defined (Angel/Pre-Seed/Seed/Series A) – Incisive Ventures

  While some of the metrics aren't particularly helpful (depending on the actual company being evaluated) as others have mentioned, the round sizes are in the right ballpark. Our[0] actual round sizes were: 1. Pre-seed: $1M (led by System.One) 2. Seed: $4M (led by Boldstart) 3. Series A: $25M (led by Tiger Global) Note that all of these were all raised in 2021 & 2022 before the investment market crash, but even now... - Source: Hacker News / over 3 years ago

• 8 Steps to Become a GraphQL Expert

  For server-side caching, you have neat solutions like GraphCDN or plugins (eg. The envelop plugin with GraphQL Yoga). - Source: dev.to / about 4 years ago

• Do you use a 3rd party or SaaS for your GraphQL API? If so, what providers do you use and why?

  Out of the thousands of production GraphQL APIs we've seen at GraphCDN, the two most common pre-made GraphQL APIs are Hasura and WPGraphQL! Source: over 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 / 2 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