Awesome GitHub RepositoriesColumnar Data Processors

Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e

Arrow is a cross-language development platform for in-memory data. It provides a standardized, language-independent columnar memory format designed to accelerate analytical operations and improve memory efficiency on modern computing hardware. By utilizing a schema-driven approach, the framework enables the efficient organization of both flat and nested data structures. The project functions as an analytical data processing engine that facilitates high-performance computation directly on memory-resident datasets. It distinguishes itself through a zero-copy architecture, which allows multiple

Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con

Perspective is a columnar data analytics library and streaming data visualization engine. It provides an interactive data grid component and notebook analytics widgets designed for processing high-volume data and rendering interactive charts and grids. The system utilizes a high-performance query engine to enable real-time data analysis and streaming dataset visualization. It supports the creation of customizable dashboards and reports that update automatically as new data arrives without requiring full dataset reloads. The project covers large-scale dataset analytics through a schema-driven

Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs into a compact binary format for high-performance data exchange. It includes an IDL-based schema compiler to transform interface definition language files into type-safe native data models and a schema evolution manager to maintain forward and backward compatibility. The project features a zero-copy data access layer that allows reading specific fields from binary rows without deserializing the entire object. It supports dual-mode serialization, enabling a toggle between a por

Velox este un motor de execuție a interogărilor C++ de înaltă performanță și o bibliotecă de procesare a datelor coloanare. Servește drept framework compozabil pentru implementarea motoarelor de interogare analitică, oferind un evaluator de expresii vectorizat și un toolkit pentru sistemele de gestionare a datelor. Proiectul se distinge prin utilizarea execuției coloanare vectorizate și a alocării memoriei bazate pe arene pentru a procesa seturi de date la scară largă. Dispune de optimizări specializate, cum ar fi caching-ul tabelelor de broadcast join, push-down dinamic al filtrelor și codificare prin dicționar pentru a reduce overhead-ul de memorie și a accelera citirile analitice. Motorul acoperă o gamă largă de capabilități analitice, inclusiv implementarea de hash, merge și semi joins, precum și agregarea paralelă în mai multe etape și calculul funcțiilor de fereastră. Oferă primitive pentru stocarea coloanară în memorie, decodarea datelor Parquet și integrarea cu stocarea în cloud. Extensibilitatea este oferită printr-un sistem de înregistrare a funcțiilor pentru funcții scalare și agregate personalizate, cu binding-uri de nivel înalt disponibile pentru a conecta logica C++ la Python.

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di