File Reading with Pre-Filtering, Pattern Searching, and Distributed Files R package awkreader version 0.1.0 Provides high-performance tools for out-of-core text processing and data ingestion by leveraging system 'AWK' utilities. Allows users to count records, filter rows, and compute streaming aggregations—such as group-by means, streaming medians, standard deviations, and correlations—directly on disk prior to reading data into R. By delegating line-by-line filtering and summarization to system-level 'AWK' commands and streaming results back through data.table::fread(), the package significantly reduces memory footprint and execution times when working with large individual files or multi-file directory structures. Software Imports: data.table Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Akshat Maurya <codingmaster902@gmail.com> Comprehensive R Archive Network (CRAN) David Shilane [aut], Akshat Maurya [aut, cre], Jason Livingston [aut], Chung-Woo (Caffrey) Lee [aut], Mayur Bansal [aut], Srivastav Budugutta [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=awkreader/LICENSE) 2026-09-03 application/tgz https://CRAN.R-project.org/package=awkreader doi:10.32614/CRAN.package.awkreader