api-rate-limiting

Tado integration for Home Assistant with local HomeKit control, multi-home support, Smart Valve Control and Weather Compensation. Community-maintained and independent of Tado.

A production-grade rate limiter module with 5+ algorithms (Token Bucket, Sliding Window, Leaky Bucket, etc.) with multi-backend support (Redis, memory, distributed).

Rate Keeper: Used to limit function call frequency. It ensures your function is called evenly within the limit rather than being called intensively in a short time.

A flexible and customizable rate limiting library for modern and legacy .NET APIs.

Lightweight, reliable Dynamic DNS updater for Cloudflare. Automatically detects your public IP and updates DNS records with verification. Built in Python, container-ready (Docker), minimal footprint. Perfect for home servers, VPNs, self-hosting, and edge deployments.

A multi-layered, configurable rate limiter built with Spring Boot.

A Node.js Express app demonstrating rate limiting with the MVC architecture. Limits API requests to prevent abuse: 100 requests per 15 minutes globally, 5 login attempts per 15 minutes. Includes helmet for security. Organized into controllers, routes, and configuration.

A modern, secure document management API built with Node.js, Express, and MongoDB that enables private, shared, and link-accessible document management with comprehensive access controls and authentication.

Declarative rate limiting for Node.js

Framework-agnostic PHP rate-limiting library for deterministic multi-signal abuse protection, with weighted fixed-window throttling, Redis-backed state, login/OTP/API policies, key-rotation continuity, circuit-breaker fallback, and typed operational inspection.

Real-time API Rate Limiter & Monitoring System with RBAC, dynamic rule management, live analytics dashboard, and API key-based authentication built using Spring Boot & Next.js.

RateShield is a distributed, policy-driven API rate limiting service built with Java, Spring Boot, PostgreSQL, Redis, Spring Security, and Docker, supporting API-key-based throttling, dynamic policies, and scalable multi-instance deployment.

OpenEnv-compatible environment for optimizing API request handling under rate limits and dynamic traffic.

A .NET library for reliable API rate limiting: safely handle concurrent requests, enforce limits across distributed instances with Redis, and control backend-failure behavior—with four algorithms, weighted requests, and ASP.NET Core middleware.

Lightweight reverse proxy for OpenAI API with per-key token budgets, rate limiting, cost dashboards, model downgrade, and caching — deploy in 5 minutes with Docker

This Python project implements a Rate Limiter decorator that restricts the number of function calls within a specified time window. It helps control execution flow and prevent excessive function calls.