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View All on GitHubAI Summary: The task involves analyzing the Veloxx project's roadmap, which details the planned development of a high-performance, lightweight data processing library in Rust. The roadmap outlines several phases, from core functionality to advanced analytics and scalability. The goal is to understand the current state of development, identify completed tasks, and prioritize future work based on the provided information.
Veloxx: A high-performance, lightweight Rust library for in-memory data processing and analytics. Features DataFrames, Series, CSV/JSON I/O, powerful transformations, aggregations, and statistical functions for efficient data science and engineering.
AI Summary: The task involves significantly improving the performance of the Veloxx data processing library to compete with and surpass Polars. This includes implementing SIMD vectorization, parallelism, optimized join algorithms, and a more efficient memory layout. The project also requires integrating with the Arrow ecosystem for improved interoperability and I/O performance. The work is broken down into several milestones with specific action items.
Veloxx: A high-performance, lightweight Rust library for in-memory data processing and analytics. Features DataFrames, Series, CSV/JSON I/O, powerful transformations, aggregations, and statistical functions for efficient data science and engineering.