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 es un framework funcional para construir aplicaciones de una sola página (SPA) en ClojureScript. Proporciona una base de datos centralizada e inmutable que sirve como única fuente de verdad para todo el estado de la aplicación, aplicando un flujo de datos unidireccional estricto donde los eventos activan transiciones de estado y actualizaciones de vista posteriores. El framework se distingue por un grafo de señales reactivas y un pipeline de middleware basado en interceptores. Al tratar la lógica de la aplicación como una secuencia de eventos basados en datos y efectos secundarios declarativos, desacopla la lógica de negocio de la capa de vista. Esta arquitectura permite a los desarrolladores gestionar transiciones de estado complejas y operaciones externas mediante funciones puras, asegurando que los efectos secundarios sean ejecutados por un intérprete separado en lugar de llamadas imperativas. El sistema incluye un conjunto completo de capacidades para gestionar la arquitectura de la aplicación, incluyendo la derivación de datos reactivos, la reconciliación de vistas basada en suscripciones y la gestión de estado impulsada por eventos. Admite flujos de trabajo de desarrollo avanzados como el rastreo de eventos, puntos de control de estado y la capacidad de crear stubs de efectos secundarios para pruebas aisladas. El proyecto está diseñado para integrarse con React, utilizando la reconciliación del DOM virtual para actualizar eficientemente las interfaces de usuario. Proporciona un conjunto robusto de utilidades para manejar preocupaciones transversales, gestionar grafos de flujo de datos complejos y coordinar operaciones asíncronas dentro de un pipeline de eventos secuencial y predecible.

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

Este proyecto es un recurso educativo integral y guía técnica para construir aplicaciones backend empresariales y servicios RESTful utilizando el framework Spring Boot. Sirve como tutorial paso a paso para desarrollar lógica del lado del servidor, enrutamiento de API y sistemas distribuidos dentro del ecosistema Java. La documentación proporciona guías de implementación específicas para arquitectura de microservicios, enfocándose en la coordinación de servicios distribuidos y comunicación basada en eventos. Incluye una referencia práctica para el ecosistema Spring, con secciones detalladas sobre implementación de seguridad y persistencia de datos. El material cubre varias áreas de capacidad central, incluyendo el desarrollo de servicios web RESTful, gestión de persistencia en bases de datos y la integración de brokers de mensajes para comunicación desacoplada. También aborda la seguridad de aplicaciones mediante autenticación basada en tokens, pruebas de backend automatizadas con mocks aislados y la gestión del procesamiento de tareas asíncronas.