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2 مستودعات

Awesome GitHub RepositoriesCLI Stream Processors

Tools that read from standard input, transform the data, and write to standard output.

Distinct from Text Processors: None of the candidates cover general Unix-pipe style stream processing for visual modification

Explore 2 awesome GitHub repositories matching development tools & productivity · CLI Stream Processors. Refine with filters or upvote what's useful.

Awesome CLI Stream Processors GitHub Repositories

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  • busyloop/lolcatالصورة الرمزية لـ busyloop

    busyloop/lolcat

    6,546عرض على GitHub↗

    lolcat is a command line text processor and color filter that transforms standard text streams into rainbow gradients. It functions as a terminal text colorizer that modifies the visual presentation of shell output using ANSI escape codes. The tool processes text passed through Unix pipes to apply rainbow gradients and color highlights. It uses these visual effects to customize terminal output and differentiate blocks of text within a command line interface.

    Functions as a stream-based tool that modifies the visual presentation of text passed through a Unix pipe.

    Rubycliessentials
    عرض على GitHub↗6,546
  • commonmark/commonmark.jsالصورة الرمزية لـ commonmark

    commonmark/commonmark.js

    1,559عرض على GitHub↗

    Commonmark.js is a library designed to parse and render text formatted according to the CommonMark specification. It functions as a document processing pipeline that converts plain text into structured HTML or an abstract syntax tree, enabling developers to programmatically inspect, modify, and transform document elements. The library distinguishes itself through its strict adherence to standardized parsing rules, ensuring consistent and predictable output across different software environments. It provides a robust framework for document tree manipulation, allowing users to traverse, insert,

    Supports standard input and output streaming for integration into command-line processing pipelines.

    JavaScript
    عرض على GitHub↗1,559
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