Elegant HTTP Networking in Swift

Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

The better way to deal with JSON data in Swift.

🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构

Automatic headphone equalization from frequency responses

HTTP Request & Response Service, written in Python + Flask.

Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)

Rocky Linux is a community enterprise Operating System designed to be 100% bug-for-bug compatible with Enterprise Linux created in response to the effective discontinuation of CentOS.

A curated list of tools for incident response

A configurable set of panels that display various debug information about the current request/response.

Provides a structured process for converting a Request into a Response

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Executes commands in response to file modifications

http request/response parser for c

StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html

应急响应实战笔记，一个安全工程师的自我修养。

The unofficial python package that returns response of Google Bard through cookie value.

Stub your network requests easily! Test your apps with fake network data and custom response time, response code and headers!

GRR Rapid Response: remote live forensics for incident response

OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.

Kyanos is a networking analysis tool using eBPF. It can visualize the time packets spend in the kernel, capture requests/responses, makes troubleshooting more efficient.

A streaming approach to JSON. Oboe.js speeds up web applications by providing parsed objects before the response completes.

一键将 Markdown 和网页 AI 对话（ChatGPT/DeepSeek等）完美粘贴到 Word、WPS 和 Excel 的效率工具 | One-click paste Markdown and AI responses (ChatGPT/DeepSeek) into Word, WPS, and Excel perfectly.

Template iOS app using Clean Architecture and MVVM. Includes DIContainer, FlowCoordinator, DTO, Response Caching and one of the views in SwiftUI

A utility for mocking out the Python Requests library.

Renderer for the harmony response format to be used with gpt-oss

Tamper Dev is an extension that allows you to intercept and edit HTTP/HTTPS requests and responses as they happen without the need of a proxy. Works across all operating systems (including Chrome OS).

async fn(Request) -> Result<Response, Error>