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Miller 6.13.0, published by John Kerl, is a cross-platform, open-source command-line tool that applies Unix text-processor ergonomics to modern, name-indexed tabular data. Functioning as a combined awk, sed, cut, join, and sort for CSV, TSV, and JSON tables, it lets users address columns by header names rather than positional indices, turning the entire file into an insertion-ordered hash map that can be filtered, reshaped, aggregated, or reformatted in a single pass. Typical use cases span data-cleaning prior to import into R or pandas, reduction of multi-gigabyte log streams to summary statistics, conversion between delimited and JSON formats, ad-hoc database-query post-processing, and devops tasks such as configuration-file mass updates. Because algorithms are streaming, memory footprint stays low even when inputs reach millions of rows, while a terse, AWK-like expression syntax keeps one-liners short enough for shell scripts. The project has shipped five major releases to date; version 6.13.0 continues incremental refinement of CSV/JSON parsing, introduces new verbs for statistical summaries, and broadens internationalization support. Available under a BSD-style licence, the software is offered for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always serving the latest build and enabling batch installation alongside other applications.
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