Awesome GitHub RepositoriesImportadores de datos de múltiples fuentes

This project is a high-performance tabular data processing framework for R, designed to handle massive datasets with memory efficiency and speed. It provides an enhanced data structure that utilizes reference semantics and in-place modification to perform complex transformations without the overhead of unnecessary object copying. The library distinguishes itself through its low-level architectural optimizations, including multi-threaded parallel processing, radix-based sorting, and memory-mapped file parsing. By offloading critical data manipulation and aggregation routines to compiled C code

Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad