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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.
Based on our record, FastAPI should be more popular than BundlePhobia. It has been mentiond 312 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / 25 days ago
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
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 is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 5 months ago
Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 5 months ago
Check packages on Bundlephobia before importing. A date-picker that pulls in 80 KB gzipped when you need one function is a problem you choose. - Source: dev.to / 3 months ago
Before adding any npm package, check bundlephobia.com for the bundle cost. Example: lodash costs 70KB — lodash-es with tree shaking costs 0-70KB depending on what you import. - Source: dev.to / 6 months ago
Or use bundlephobia.com for a nicer view of what actually ends up in your bundle. - Source: dev.to / 7 months ago
There are two excellent services for estimating package size - Bundlephobia and Package Phobia. While the first calculates "bundle size", the second calculates "publish size" and "install size". The "install size" is the result of recursively summing up all the package dependencies. The result of such an evaluation may surprise. - Source: dev.to / 7 months ago
We can use bundlephobia.com to quickly check the ‘cost’ of adding a npm library to your bundle. Upon checking, it tells us moment.js clocks in at around 300KB, while date-fns is a much leaner 77KB:. - Source: dev.to / about 1 year ago
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
GTmetrix - GTmetrix is a free tool that analyzes your page's speed performance. Using PageSpeed and YSlow, GTmetrix generates scores for your pages and offers actionable recommendations on how to fix them.
Django - The Web framework for perfectionists with deadlines
bundlejs - A quick and easy way to bundle, minify, and compress (gzip and brotli) your ts, js, jsx and npm projects all online, with the bundle file size.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
