Awesome GitHub RepositoriesData Querying Interfaces

Twenty is a headless customer relationship management framework that enables developers to build, version, and deploy custom business applications using code. By utilizing a declarative approach to data modeling, the platform allows for the definition of custom objects, fields, and complex relationships directly within the source code. This schema-driven architecture automatically generates corresponding REST and GraphQL APIs, ensuring that data structures and interface components remain synchronized across development and production environments. The platform distinguishes itself through a m

Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer

Langchain-Chatchat is a system for building retrieval-augmented generation applications and autonomous AI agents. It integrates a knowledge base management system and an agent framework to enable language models to interact with private documents and execute multi-step tasks through external tools. The platform supports local deployment of language models on private infrastructure to operate without an internet connection. It includes a multimodal AI platform that combines vision models for image analysis with text-to-image generation capabilities. The system provides a web-based conversatio

Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches

Subql is a blockchain data indexing framework and TypeScript-based indexer used to extract raw blockchain events and transactions and transform them into structured, queryable data entities. It functions as a data API and a tool for building decentralized application backends, providing a query interface for type-safe access to indexed blockchain data. The project includes an AI-powered query engine that utilizes large language models to translate natural language questions into structured GraphQL queries. This system can orchestrate multi-step queries by breaking down complex requests into s

chezmoi is a command-line utility designed to manage and synchronize system configuration files across multiple machines. It uses a local Git repository as the single source of truth, allowing users to track, version, and distribute dotfiles while maintaining a consistent state across diverse operating systems and hardware architectures. The project distinguishes itself through a declarative reconciliation model that computes the difference between the current filesystem and the desired state defined in the repository. It features a robust templating engine that processes configuration files

Gel is an object-relational database system that models data as a graph of interconnected objects. By utilizing a strongly typed schema, it enables complex relational queries and polymorphic data structures without the need for traditional join tables. The system integrates native vector storage and similarity search operators, allowing it to function as both a relational and a vector database for semantic data retrieval. The platform distinguishes itself through a comprehensive suite of developer-centric automation tools. It features a declarative migration system that tracks and versions sc

MAME is a vintage hardware emulation platform designed to recreate the circuitry of arcade games, computers, and consoles to run original software on modern devices. It functions as a retro gaming preservation framework for managing, verifying, and archiving ROM sets and disk images to ensure long-term software accessibility. The project features a system debugging tool for inspecting emulated memory, CPU registers, and execution flow via breakpoints and disassembly. It also includes a Lua-based automation layer that exposes core system state and hardware controls for custom behavior and anal

This project is a reference implementation and application template for Retrieval-Augmented Generation (RAG). It integrates Azure OpenAI with Azure AI Search to enable conversational chat interfaces that provide grounded responses based on private enterprise data. The system is distinguished by its multimodal AI interface, allowing it to process and reason over combined text, image, and PDF content. It employs a hybrid search architecture that combines vector and keyword retrieval with semantic reranking to prioritize the most relevant documents for prompt augmentation. The project covers a

Rags is an orchestration tool for building retrieval-augmented generation pipelines and managing conversational data interfaces. It serves as a system for creating these pipelines from local files and web pages using natural language instructions to query, retrieve, and summarize information from connected datasets. The project features a multimodal retrieval system that identifies and extracts information across different data types and modalities. It includes a vector search orchestrator to manage chunking strategies and search parameters, alongside a pipeline builder that translates conver

re-frame est un framework fonctionnel pour construire des applications monopages (SPA) en ClojureScript. Il fournit une base de données centralisée et immuable qui sert de source unique de vérité pour l'état global de l'application, imposant un flux de données unidirectionnel strict où les événements déclenchent des transitions d'état et des mises à jour de vue. Le framework se distingue par un graphe de signaux réactifs et un pipeline de middleware basé sur des intercepteurs. En traitant la logique applicative comme une séquence d'événements pilotés par les données et d'effets de bord déclaratifs, il découple la logique métier de la couche de vue. Cette architecture permet aux développeurs de gérer des transitions d'état complexes et des opérations externes via des fonctions pures, garantissant que les effets de bord sont exécutés par un interpréteur séparé plutôt que par des appels impératifs. Le système inclut une suite complète de capacités pour gérer l'architecture applicative, notamment la dérivation de données réactives, la réconciliation de vue basée sur les abonnements et la gestion d'état pilotée par les événements. Il prend en charge des flux de développement avancés tels que le traçage d'événements, la mise en point d'état et la possibilité de simuler (stub) des effets de bord pour des tests isolés. Le projet est conçu pour une intégration avec React, utilisant la réconciliation du DOM virtuel pour mettre à jour efficacement les interfaces utilisateur. Il fournit un ensemble robuste d'utilitaires pour gérer les préoccupations transversales, les graphes de flux de données complexes et coordonner les opérations asynchrones au sein d'un pipeline d'événements séquentiel et prévisible.

This is a curated gallery of real-world workflows demonstrating how to use Claude Code for AI-driven coding, debugging, and development automation. The showcase includes executable scripts that reproduce each AI interaction locally, allowing you to see exactly how the assistant generates, explains, and modifies code within a development environment. The project shows how to build custom AI agents with targeted prompts and multi-step slash commands, define project-wide memory that persists across sessions, and inject domain-specific knowledge through markdown files. It also demonstrates integr

Ce projet est une ressource éducative complète et un guide technique pour construire des applications backend d'entreprise et des services RESTful en utilisant le framework Spring Boot. Il sert de tutoriel étape par étape pour développer la logique côté serveur, le routage d'API et les systèmes distribués au sein de l'écosystème Java. La documentation fournit des guides d'implémentation spécifiques pour l'architecture microservices, en se concentrant sur la coordination des services distribués et la communication pilotée par les événements. Elle inclut une référence pratique pour l'écosystème Spring, avec des sections détaillées sur l'implémentation de la sécurité et la persistance des données. Le matériel couvre plusieurs domaines de capacités fondamentaux, notamment le développement de services web RESTful, la gestion de la persistance en base de données et l'intégration de courtiers de messages pour une communication découplée. Il aborde également la sécurité des applications via l'authentification par jeton, les tests backend automatisés avec des mocks isolés et la gestion du traitement des tâches asynchrones.