
FastAPI
Flask
Django
ExpressJS
Yii Framework
Bottle
Symfony
Ruby on Rails
OrientDB
ArangoDB
Redis
neo4j
MongoDB
Apache Cassandra
Azure Cosmos DB
CouchBase
FastAPI
OrientDBWhen 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 OrientDB. While we know about 312 links to FastAPI, we've tracked only 1 mention of OrientDB. 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 / 13 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 โ 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 / 4 months ago
Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 4 months ago
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / over 3 years ago
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Django - The Web framework for perfectionists with deadlines
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.