FastAPI starter package for AI web applications. It uses pre-built admin components to give FastAPI functionality comparable to Django for AI-first applications.
Used by Developers at
Target Audience
This stack is opinionated and may not be for you. It is intended for students and novice developers who know Python, but are not strong in or do not like JavaScript.
- • You strongly prefer Python over JavaScript on the backend
- • You prefer to handle logic on the Python backend instead of using JavaScript code on the frontend
- • You prefer inline styling instead of separation of concerns with CSS in separate files
- • You prefer typed languages and want to use Python optional type hints instead of relying only on dynamic typing
- • You prefer HTML files with Python code and variables embedded in the HTML instead of embedding HTML in the Python code on the server
- • You are using Django or Flask and are having problems with async LLM communication
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Project Description
Learn about the MVS Architecture and code organization behind FastOpp
Explore the Model-View-Service architecture, directory structure, and how FastOpp provides Django-like functionality with modern FastAPI capabilities.
Documentation
Complete documentation links from FastOpp repository
Access all documentation sections including getting started, architecture, authentication, deployment, database setup, file management, AI integration, and troubleshooting guides.
Tutorials
Step-by-step tutorials and guides
Follow our tutorials to learn how to add new pages, manage migrations, deploy to production, and more with FastOpp.
Live Example
FastOpp Example for Students: AI Chat with Conversation Management
This example shows intelligent conversation management, automatic title generation, persistent chat history, hybrid search using a vector database combined with an SQL database with full-text search.