#python #fastapi #json #json_schema #pydantic #sql #sqlalchemy

https://github.com/tiangolo/sqlmodel

#other #best_practices #fastapi

https://github.com/zhanymkanov/fastapi-best-practices

#python #api #async #crawler #douyin #douyin_api #douyin_scraper #douyin_tiktok_api #douyin_tiktok_download #fastapi #no_watermark #online_parsing #python #pywebio #scraper #spider #tiktok #tiktok_api #tiktok_scraper #tiktok_signature #web_scraping

This tool, called "Douyin_TikTok_Download_API," allows you to easily download videos and data from Douyin (Chinese TikTok), TikTok, and Bilibili without watermarks. Here’s how it benefits you The tool is ready to use out of the box and supports API calls, online batch parsing, and downloading.
- **Versatile** Built with PyWebIO, FastAPI, and HTTPX for fast asynchronous data scraping.
- **Customizable** Provides comprehensive API documentation for easy integration into your projects.
- **iOS Integration**: Supports iOS shortcuts for quick video downloads without watermarks.

Overall, this tool simplifies the process of downloading content from these platforms while offering flexibility and high performance.

https://github.com/Evil0ctal/Douyin_TikTok_Download_API

#python #anonymous #fastapi #filecodebox #python #tool

This tool, called "文件快递柜-轻量" (File Express Box - Light), allows you to share files and texts easily without needing to register or log in. You can upload files by copying and pasting or dragging them, and share them using a random password with customizable usage limits and expiration dates. It supports multiple file types, has IP upload limits to prevent abuse, and offers a simple management panel to view and delete files. The tool is lightweight, easy to use, and can be deployed quickly with Docker. This makes it very convenient for sharing files securely and efficiently.

https://github.com/vastsa/FileCodeBox

#python #cloud_native #cncf #deep_learning #docker #fastapi #framework #generative_ai #grpc #jaeger #kubernetes #llmops #machine_learning #microservice #mlops #multimodal #neural_search #opentelemetry #orchestration #pipeline #prometheus

Jina-serve is a tool that helps you build and deploy AI services easily. It supports major machine learning frameworks and allows you to scale your services from local development to production quickly. You can use it to create AI services that communicate via gRPC, HTTP, and WebSockets. It has features like built-in Docker integration, one-click cloud deployment, and support for Kubernetes and Docker Compose, making it easy to manage and scale your AI applications. This makes it simpler for you to focus on the core logic of your AI projects without worrying about the technical details of deployment and scaling.

https://github.com/jina-ai/serve

#python #digital_products #fastapi #lemon_squeezy #merchant_of_record #mor #nextjs #paddle #payments #polar #python #react #saas #sponsor #stripe #subscriptions #turborepo #typescript

Polar is an open-source platform that helps developers sell their digital products and subscriptions easily. You can set up sales for things like GitHub repositories, Discord support channels, and file downloads in just a few minutes. Polar handles the complicated parts like billing, receipts, and taxes, so you can focus on your work. It has a simple pricing plan of 4% + 40¢ per transaction with no monthly fees. You can also integrate Polar into your projects using their API and SDKs for languages like JavaScript and Python. This makes it easier for you to monetize your creations without the hassle of managing payments yourself.

https://github.com/polarsource/polar

#typescript #backend #chakra_ui #docker #fastapi #frontend #json #json_schema #jwt #letsencrypt #openapi #postgresql #python #react #sqlmodel #swagger #tanstack_query #tanstack_router #traefik #typescript

This template helps you quickly set up a full-stack application using FastAPI for the backend and React for the frontend. It includes tools like PostgreSQL for the database, Docker Compose for development and production, and secure features like JWT authentication and password recovery. The template also supports dark mode, automatic HTTPS certificates, and continuous integration and deployment through GitHub Actions. You can easily clone or fork the repository and customize it using environment variables. This makes it easy to start building your application quickly and securely.

https://github.com/fastapi/full-stack-fastapi-template

#typescript #aceternity_ui #agent #agents #ai #chrome_extension #extension #fastapi #glean #langchain #langgraph #nextjs #nextjs15 #notebooklm #notion #ollama #perplexity #python #rag #slack #typescript

SurfSense is a highly customizable AI research tool that helps you organize and search your personal knowledge base. It connects to many external sources like search engines, Slack, Notion, YouTube, and GitHub. You can upload various file types and interact with your saved content using natural language. SurfSense provides cited answers and supports local AI models, making it a powerful tool for research. It's also self-hostable and open-source, allowing you to control your data and customize it as needed. This helps you manage information more efficiently and privately.

https://github.com/MODSetter/SurfSense

#python #api #bracket #brackets #docker #docusaurus #fastapi #json #mantine #nextjs #postgresql #python #react #reactjs #selfhosted #sports #tournament_bracket #tournament_manager #tournaments #web #yarn

Bracket is a tool for organizing tournaments. It supports different formats like single elimination, round-robin, and Swiss. You can create teams, add players, and manage multiple clubs with several tournaments. The system allows you to drag-and-drop matches to different courts or reschedule them. It also provides customizable dashboard pages for public viewing. This makes it easier to manage and engage with tournaments, offering more flexibility and control for organizers and participants.

https://github.com/evroon/bracket

#python #api #async #asyncio #fastapi #framework #json #json_schema #openapi #openapi3 #pydantic #python #python_types #python3 #redoc #rest #starlette #swagger #swagger_ui #uvicorn #web

FastAPI is a modern Python web framework for building fast, reliable APIs that is easy to learn and quick to code, making it ready for production use right away. It uses standard Python type hints, which means you get automatic data validation, fewer bugs, and great editor support with code completion and type checks. FastAPI also generates interactive documentation automatically, so you and your team can understand and test your API easily. The main benefit is that you can develop robust, high-performance APIs much faster and with less effort, while reducing errors and making your code easier to maintain[1][2][3].

https://github.com/fastapi/fastapi

#python #ai #authentication #authorization #claude #cursor #fastapi #llm #mcp #mcp_server #mcp_servers #modelcontextprotocol #openapi #windsurf

FastAPI-MCP is a tool that lets you easily turn your FastAPI web API endpoints into Model Context Protocol (MCP) tools, which AI agents can use directly. It requires almost no setup—just connect it to your FastAPI app, and it automatically preserves your request/response data models and documentation. It also includes built-in authentication using your existing FastAPI security methods. You can run the MCP server inside your app or separately, and it communicates efficiently using FastAPI’s ASGI interface. This makes it simple to integrate AI capabilities with your existing FastAPI services without rewriting code, saving you time and effort while keeping your API secure and well-documented[1][5].

https://github.com/tadata-org/fastapi_mcp

#python #agents #ai #api_gateway #asyncio #authentication_middleware #devops #docker #fastapi #federation #gateway #generative_ai #jwt #kubernetes #llm_agents #mcp #model_context_protocol #observability #prompt_engineering #python #tools

The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure.

https://github.com/IBM/mcp-context-forge

#python #docker #fastapi #kbqa #kgqa #llms #neo4j #rag #vue

Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development.

https://github.com/xerrors/Yuxi-Know