Awesome GitHub RepositoriesData Aggregation Tools

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

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

This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It

PRQL is a functional, modular data transformation language that serves as a compiler for relational data pipelines. It allows developers to write expressive, pipelined queries that are translated into standard SQL dialects. By abstracting complex data manipulation into a readable, sequential syntax, the project enables the construction of maintainable workflows that remain independent of specific database engines. The language distinguishes itself through a robust compilation infrastructure that performs type validation and relational algebra analysis before generating target-specific code. I

Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, includin

Pothos is a code-first GraphQL schema builder and framework designed for type-safe development. It allows developers to construct schemas using typed definitions in TypeScript, eliminating the need for external code generation steps. The framework distinguishes itself through a dedicated data mapper that connects GraphQL types to relational databases and ORMs, such as Prisma, while optimizing query resolution. It provides a full implementation of the Relay specification, including global object identification and cursor-based pagination. The project covers several core capability areas, incl