{"repo":"RayforceDB/rayforce-py","free":true,"listed":false,"github":"https://github.com/RayforceDB/rayforce-py","clone":"git clone https://github.com/RayforceDB/rayforce-py.git","description":"High-performance and powerful Python DataFrame library built on top of RayforceDB","language":"Python","stars":15,"topics":["bigdata","columnar","database","python","timeseries","vector","rayforce","rayforce-py","raypy","rayforcedb"],"license":"MIT","category":"databases-storage","readme_excerpt":"High-Performance Lightweight Python ORM designed for Python ORM for RayforceDB, a high-performance columnar database designed for analytics and data operations. Core is written in pure C with minimal overhead - combines columnar storage with SIMD vectorization for lightning-fast analytics on time-series and big data workloads. Full Documentation: https://py.rayforcedb.com/ Features - Pythonic API - Chainable, convenient, intuitive and fluent query syntax - High Performance - One of the fastest solutions available, minimal overhead between Python and RayforceDB runtime via C API - Lightweight - Core is less than 1 MB footprint - 0 dependencies - Library operates without dependencies - pure Python and C - Rapid Development - Continuously expanding functionality Benchmarks run on: macOS M4 32GB, 100 groups, 20 runs (median), 5 warmup runs. H2OAI Quick Start Installation Package is available on PyPI: This installation also provides a command-line interface to access the native Rayforce runtime: --- Built with ❤️ for high-performance data processing MIT Licensed RayforceDB Team","default_branch":null,"files":null,"tree":[],"storefront":"/r/RayforceDB","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/RayforceDB/rayforce-py/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}