Awesome GitHub RepositoriesDatabase Engines

Geth is a comprehensive execution client for the Ethereum network, serving as a foundational node implementation that processes transactions, maintains the distributed ledger state, and participates in peer-to-peer consensus. It provides a robust infrastructure for synchronizing, validating, and serving blockchain data, utilizing a persistent Merkle Patricia Trie database to ensure the cryptographic integrity of historical records. As a sandboxed smart contract runtime, it executes bytecode according to deterministic protocol rules, enabling the deployment and interaction of decentralized appl

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

This application is a desktop utility for managing, editing, and visualizing local database files. It provides a graphical interface for executing SQL queries, designing database structures, and performing routine maintenance tasks on data stores. The software distinguishes itself through its support for encrypted database files, allowing users to manage password-protected data using modular cryptographic extensions. It also offers built-in tools for data analysis, enabling the generation of graphical charts and plots directly from query results to identify trends within datasets. Beyond its

DVWA is a vulnerable web application sandbox and PHP security training environment. It serves as a deployable penetration testing target and an OWASP Top 10 lab designed for practicing exploits and simulating common web security vulnerabilities. The application allows users to adjust security difficulty levels to match their skill level and toggle between different SQL database engines to test how various systems handle injection attacks. It includes a mechanism to disable authentication, enabling automated security tools to interact directly with the environment. The project provides capabi

DVWA is a vulnerable web application lab and penetration testing sandbox designed to simulate common security flaws. It serves as a training platform for the OWASP Top 10 security risks and functions as a PHP and MySQL security lab for practicing the identification and exploitation of web vulnerabilities. The project provides a graduated learning experience through configurable security levels that adjust the difficulty of the vulnerabilities. It also supports switching between different database engines to research how various storage systems respond to injection attacks. The application is

Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp