FastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation. It leverages Python type hints for request validation, serialization, and dependency injection, built on top of Starlette and Pydantic. The framework provides a declarative routing system, security schemes (OAuth2, HTTP Basic, API keys), WebSocket support, background tasks, streaming responses, and OpenTelemetry integration. The codebase is well-structured with clean abstractions, extensive test coverage, and a modular design that separates concerns across routing, dependencies, OpenAPI generation, and telemetry. It is actively maintained with frequent releases and a large community.
KonomiTV is a modern, full-stack online PVR/streaming server tailored for Japanese digital television (GR, BS, CS, BS4K). In production, it serves as a live TV player with hardware-accelerated transcoding (QSV, NVENC, VCE, FFmpeg), a complete EPG and recording scheduler, and deep social media integration (Twitter/X, Bluesky, Niconico Jikkyo). The system acts as a modern web frontend for the traditional EDCB and Mirakurun TV middleware. The backend is a Python FastAPI application executing complex pipelines for MPEG-TS parsing, live encoding, and metadata analysis. The frontend is a Vue 3/TypeScript Progressive Web App with offline storage via Service Workers. The codebase exhibits high craftsmanship in its low-level protocol interactions: it contains a complete reverse-engineered binary protocol parser for EDCB, an undocumented Twitter GraphQL scraper, and zero-dependency keyframe seekers for MPEG-TS and MP4 containers. While primarily an application, it incorporates significant reverse-engineering and data processing research, including automatic CM detection, computer vision-based thumbnail scoring, and BML data broadcasting support. The architecture is well-structured but heavily coupled to the Japanese TV ecosystem and multiple fragile third-party dependencies (custom binary forks, hardware-specific drivers, browser automation for social feeds). These dependencies introduce medium technical drift, but the project is actively maintained with thorough CI/CD and regular third-party updates.
This repository is a production-grade FastAPI boilerplate (named 'Fastro') designed to accelerate building SaaS backends. It provides a complete, modular architecture with three layers: infrastructure (config, caching, rate limiting, auth, logging, database), interfaces (REST API, admin panel), and vertical-slice modules (user, tier, API keys, rate limits). The codebase is fully async, uses SQLAlchemy 2.0 with `MappedAsDataclass`, Pydantic v2, and FastCRUD for generic CRUD operations. Authentication is session-based via the external `crudauth` library, with server-side sessions, CSRF, OAuth (Google wired), and API key support. Caching and rate limiting follow a provider pattern with swappable Redis/Memcached backends. The repo also includes a CLI tool (`bp`) with plugin discovery for commands and features, a multi-stage Dockerfile, Alembic migrations, and extensive documentation (though some docs describe aspirational features not yet implemented). A paid fork (FastroAI) adds payments, email, and frontend, but the free boilerplate is self-contained and functional.
This repository provides a deprecated Docker image for running Starlette applications with Uvicorn managed by Gunicorn. The image includes auto-tuning of worker processes based on CPU cores. However, the project is explicitly deprecated in favor of using Uvicorn with the `--workers` option directly, as the need for Gunicorn as a process manager has been eliminated by recent Uvicorn features. The repository contains Dockerfiles for Python 3.10 and 3.11 (slim and non-slim) that build upon the `tiangolo/uvicorn-gunicorn` base image, and installs Starlette. It includes a minimal example application and tests to verify the image behavior.