jc

jc, developed by Kelly Brazil, is a command-line tool and Python library that converts the output of popular command-line tools, various file types, and common strings into structured formats such as JSON, YAML, or Python dictionaries. Its primary purpose is to bridge the gap between human-readable terminal output and machine-parsable data, thereby simplifying automation workflows and scripting tasks. By transforming unstructured or loosely structured text into standardized JSON or YAML, jc enables users to pipe the results directly into downstream processing tools like jq, making it far easier to filter, query, and manipulate command output programmatically. This capability is particularly valuable for system administrators, DevOps engineers, and developers who frequently need to integrate traditional Unix utilities into modern automation pipelines without writing fragile text-parsing logic based on regular expressions or string splitting. As a Python library, jc can also be imported and used within custom scripts and applications, extending its usefulness beyond interactive shell usage into larger software projects. The software belongs to the developer tools and command-line utilities category, with relevance to data transformation, scripting, and systems administration workflows. Common use cases include converting the output of networking, process management, file system, and system information commands into structured data for monitoring, reporting, and configuration management purposes. The current version of jc is 1.25.7, and two versions of the software are available, giving users the option to select the release appropriate to their environment or compatibility requirements. Overall, jc addresses a recurring challenge in command-line automation: the difficulty of reliably consuming text output from tools that were designed primarily for human readers. By standardizing this output into widely supported data interchange formats, it reduces scripting complexity, improves reliability, and allows existing command-line utilities to participate cleanly in structured, modern tooling ecosystems.

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