FastAPI
Flask
ExpressJS
Django
Yii Framework
Bottle
Ruby on Rails
Laravel
Amazon Machine Learning
Apple Machine Learning Journal
Machine Learning Playground
Lobe
Google Cloud Machine Learning
Azure Machine Learning Service
pandora by aTomic Lab
ML5.js
FastAPIWhen 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 seems to be a lot more popular than Amazon Machine Learning. While we know about 312 links to FastAPI, we've tracked only 2 mentions of Amazon Machine Learning. 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
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: about 4 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 5 years ago
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Apple Machine Learning Journal - A blog written by Apple engineers
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Django - The Web framework for perfectionists with deadlines
Lobe - Visual tool for building custom deep learning models
