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...This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. ...
fx can work in two modes, cli and interactive. To start interactive mode pipe any JSON into fx. One of the frequent operations is mapping some function on an array. You can pass any number of anonymous functions for reducing JSON. fx provides a function save which will save everything in place and return saved object. This function can be only used with filename as first argument to fx command. Create .fxrc file in $HOME directory, and require any packages or define global functions. To be...
...The tool also supports options like opening a selected result in a web browser, piping results into other tools, and restricting searches to specific formats such as text-only or JSON for further processing. Because it avoids third-party tracking and ads built into many browser search experiences, ddgr appeals to users seeking greater control over data and a faster, distraction-free search flow.
Ansifilter handles text files containing ANSI terminal escape codes.
The command sequences may be stripped or be interpreted to generate formatted output (HTML, RTF, TeX, LaTeX, BBCode and Pango Markup).
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...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
pup is a command line tool for processing HTML. It reads from stdin, prints to stdout, and allows the user to filter parts of the page using CSS selectors. Inspired by jq, pup aims to be a fast and flexible way of exploring HTML from the terminal. If you have Go installed on your computer just run go get. If you're on OS X, use Homebrew to install (no Go required). By default pup will fill in missing tags and properly indent the page.
The Model Operations Processing System (MOPS) has been designed to assist operations on model railroads. It has the look and feel of mainframe systems that would have been in used in the late 20th century.