Miller is a command-line tool designed for manipulating data in formats like CSV, TSV, and JSON. Unlike traditional Unix tools that rely on integer indices, Miller uses named fields, making it easier to work with data without counting positions. It allows users to add or drop fields, sort, and aggregate data efficiently. The tool is particularly powerful for data cleaning and transformation tasks, making it a valuable asset for those handling large datasets. Miller operates on key-value pairs and supports streaming, which means it can process data without needing to load everything into memory at once. This feature is beneficial when working with large files, as it retains only the necessary data during operations. It integrates seamlessly with other Unix tools and can be used in various contexts, including log file processing and database query post-processing. With high throughput and format-aware processing, Miller performs well in comparison to other utilities. Installation options are straightforward, with commands available for Linux, Mac, and Windows. Users can also compile it from source if needed. The documentation is comprehensive, providing guidance on installation, building, and usage. Community support is available through discussion forums and issue tracking on GitHub, making it easy for users to seek help or contribute to the project.