CLI JSON Processors and Query Tools

This project is a command-line processor designed for the parsing, filtering, and transformation of structured data streams. It functions as a declarative programming environment that treats data as immutable streams, allowing users to perform complex structural modifications through the composition of small, reusable functions. By utilizing a recursive tree traversal engine, the system enables the navigation, inspection, and modification of deeply nested hierarchical data structures. The engine distinguishes itself through a stream-oriented architecture that processes input records one by one, maintaining a low memory footprint even when handling massive documents. It employs a custom stack-based virtual machine to execute compiled filter expressions efficiently, while its lazy evaluation semantics ensure that expressions are only computed when required by the pipeline. This combination of functional pipeline composition and pattern-matching capabilities allows for sophisticated data manipulation directly from the terminal. Beyond its core processing model, the system provides a comprehensive suite of tools for data navigation, arithmetic and logical operations, and collection management. It supports advanced logic control, including variable assignment and iterative structures, alongside robust text manipulation through regular expression processing. These features facilitate a wide range of tasks, from automated log analysis and configuration file manipulation to complex data pipeline transformations.

This project is a network-accessible weather information service designed specifically for command-line environments. It delivers real-time meteorological data directly to terminal interfaces through simple HTTP requests, allowing users to retrieve weather reports without leaving their development environment or using a web browser. The service distinguishes itself through a stateless architecture that utilizes content negotiation to provide the optimal output format based on the client request. Whether a user requires plain text, ANSI-colored terminal output, structured JSON for programmatic integration, or graphical weather maps, the service dynamically renders the appropriate response. It also supports extensive customization through URL-encoded parameters, enabling users to specify unit systems, localization preferences, and detailed forecasting views. Beyond basic retrieval, the platform functions as a versatile data provider for system observability and automation. It includes native support for exporting weather data as Prometheus metrics, facilitating integration into monitoring and alerting infrastructure. The service is also optimized for embedding into various terminal-based tools, including status bars, chat clients, and system monitors, through configurable templates and specialized formatting options. The service is distributed as a self-contained binary, ensuring it can be deployed as a standalone entity without requiring external web infrastructure or persistent database sessions.

Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, including field computation, record filtering, and data sorting. It supports the chaining of multiple operations into a linear pipeline to perform complex cleaning and statistical aggregation tasks.

This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It employs a format-agnostic data model that normalizes diverse inputs, facilitating seamless cross-format conversion and interoperability. The engine supports declarative pipeline execution, allowing users to chain multiple operations through standard input and output streams for automated processing in CI/CD environments. The tool provides a comprehensive suite of capabilities for data manipulation, including arithmetic and logical evaluations, collection sorting, and temporal arithmetic. It handles advanced tasks such as merging multiple files, splitting documents, and dynamically injecting environment variables or external command output into data fields. Users can also enforce security policies by restricting access to external files or system environment variables during execution. The software is distributed as a standalone binary, supporting shell completion to assist with command-line productivity.

This project is an interactive command-line shell designed to provide a user-friendly terminal environment for system interaction and task automation. It functions as both an interactive interface for developers and a scripting runtime, featuring a clean, consistent syntax that simplifies command execution and process management. The shell distinguishes itself through a focus on discoverability and real-time feedback. It includes a predictive suggestion engine that offers command completions and history-based hints as you type, alongside a dedicated parser that provides immediate visual feedback on syntax validity. To ensure data integrity, it utilizes a native list-based variable architecture that prevents common issues with word splitting, and it maintains a universal variable manager to synchronize settings across all active and future shell instances. Beyond its core interactive capabilities, the shell supports a comprehensive suite of productivity tools, including customizable prompts, advanced line editing, and an event-driven hook system for responding to lifecycle changes. It manages configuration through both terminal-based commands and a graphical interface, while optimizing performance through lazy function autoloading and efficient command history navigation. The shell provides extensive support for scripting, including built-in tools for string manipulation, conditional logic, and data stream redirection. It is designed to be ready for use with default completion support and terminal compatibility features, such as true color rendering, enabled out of the box.

Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can query, sort, and visualize local files, databases, and remote API responses directly within the terminal using native structured data primitives. The shell supports a plugin-based architecture that allows external binaries to register as native commands, alongside a module system that enables the creation of reusable, scoped command-line tools. These features are complemented by a flexible configuration system that allows for deep customization of the shell environment, including prompts, keybindings, and persistent settings. The platform provides a comprehensive suite of tools for managing data and execution flow. It includes built-in support for structured data manipulation, such as record and table operations, as well as advanced features like concurrent pipeline processing, background job management, and runtime error handling. The shell also offers a sophisticated line editor with support for modal editing and interactive menus to streamline command entry. Documentation and configuration are managed through standard files, allowing users to define custom commands, aliases, and environment variables that persist across sessions. The system is designed to integrate seamlessly with existing external commands, automatically converting between structured data and text or binary formats to maintain compatibility with standard system utilities.

Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of structured data. It functions as a terminal-based utility that handles both automated shell pipelines and interactive navigation of complex, nested data hierarchies. The tool distinguishes itself by integrating a JavaScript-based engine that executes user-provided logic to filter, map, or modify data fields within a sandboxed runtime. It maintains a responsive interface by decoupling data processing from the display loop, allowing users to explore large datasets through an interactive, recursive tree-view that supports custom key bindings and node expansion. Beyond its interactive capabilities, the software provides a robust set of utilities for data normalization and format conversion, supporting inputs such as YAML, TOML, and raw log streams. It facilitates automated workflows by processing piped input streams and converting minified or unstructured text into human-readable, indented formats for efficient analysis and debugging.

This project is a high-performance command-line utility designed for rapid filesystem navigation and file discovery. It enables users to locate files and directories within large project structures using recursive search, pattern matching, and metadata-aware filtering. By employing multi-threaded parallel traversal, it provides an efficient way to explore complex directory trees. What distinguishes this tool is its ability to integrate directly into terminal workflows and automate file management tasks. It automatically respects version control ignore files and hidden file settings, ensuring that search results remain focused on relevant project content. Beyond simple discovery, it features a built-in batch execution engine that allows users to run custom shell commands or scripts against search results, using dynamic placeholders to process file paths and metadata. The utility supports a wide range of interoperability features, including standard stream piping for safe data transfer to other command-line tools, text editors, and fuzzy finders. It provides granular control over search parameters, including full path matching, regex-based pattern evaluation, and configurable output formatting. Diagnostic utilities are also included to assist with pattern debugging and terminal readability.

Commander.js is a framework for building command-line interfaces and terminal applications. It functions as an argument parsing library and command lifecycle manager, transforming raw terminal input strings into structured, validated objects for use in executable scripts. The system utilizes a recursive command tree pattern, allowing developers to organize complex execution flows through nested subcommands. It features a declarative interface for defining command-line flags and arguments, which maps user input directly to internal state properties. To assist with usability, the framework automatically generates and formats instructional help text based on the defined command structure and option metadata. Beyond core parsing, the library provides event-driven lifecycle hooks that allow for custom integration logic at various stages of command execution. It manages process exit states and provides error reporting to support the development of automated scripts and terminal utilities.

jid is an interactive JSON query tool and data explorer for the terminal. It provides a keyboard-driven interface to navigate, evaluate, and extract information from nested JSON structures using dot-notation paths and real-time autocomplete. The tool integrates JMESPath to support complex data filtering and transformation. It distinguishes itself through a type-aware assistance system that provides context-aware function hints and argument templates based on the data type of the selected JSON node. The capability surface includes a terminal user interface with syntax highlighting, predictive key and index suggestions, and persistent query history for retrieving previous searches. Users can customize the experience via configuration files to modify application behavior and keyboard shortcuts. The utility allows for toggling between condensed and prettified output formats to improve the readability of queried data.

This project is a command-line task runner designed to manage project-specific workflows through a centralized, configuration-driven interface. It functions as a declarative tool for organizing build logic, environment variables, and task dependencies into a structured format, enabling the automation of complex development pipelines. The tool distinguishes itself by providing a shell-agnostic execution layer that ensures consistent behavior across Windows, macOS, and Linux. It supports advanced workflow orchestration by constructing directed acyclic graphs to manage task prerequisites, while offering flexible parameter injection and command-line variable overrides to customize execution without modifying source files. Users can also leverage interactive recipe selection and modular configuration imports to navigate and maintain complex project structures. Beyond core execution, the project includes a broad suite of developer utilities such as automated shell completion generation, integrated terminal documentation, and support for diverse script interpreters. It manages environment contexts through variable loading and exporting, while providing granular control over process signals, parallel execution, and output verbosity. The project is distributed as a standalone binary, with documentation and usage details accessible directly through its built-in manual page system.

Gron is a command line utility that transforms nested JSON data into a flat list of path-value assignments. This process converts hierarchical structures into line-based statements, mapping every leaf value to its absolute path to make the data compatible with standard text-processing tools. The tool allows for the bidirectional transformation of data, enabling the reconstruction of original nested JSON objects from flattened path assignments. It can ingest JSON from local files, standard input, or remote URLs, with the ability to route network traffic through proxy servers. The utility supports stream-based processing to handle large inputs and can export flattened data as a continuous stream of JSON objects. It also includes validation to ensure property keys conform to JavaScript naming rules during data transformation.

ripgrep is a command-line utility designed for searching through large file trees and source code repositories. It functions as a recursive text processor that traverses directories to locate and display matching patterns, serving as a high-performance alternative to traditional search tools. The tool distinguishes itself through a focus on execution speed and intelligent file handling. It utilizes a finite automata-based regular expression engine to ensure linear time complexity and employs hardware-level acceleration for literal byte sequence scanning. By integrating with version control systems, it automatically respects ignore patterns to skip irrelevant files, while its parallel worker threading and memory-mapped file scanning techniques maximize throughput across large datasets. Beyond its core search capabilities, the utility supports complex text filtering and data stream manipulation within terminal environments. It is designed to optimize development workflows by reducing wait times during large-scale codebase analysis and log file inspection. The project provides precompiled, static binaries for Windows, macOS, and Linux, and is invoked via the command line using the binary name rg.

This project provides a comprehensive guide and set of architectural patterns for developing professional command-line interfaces using Node.js. It focuses on establishing industry standards for terminal-based applications, ensuring that tools are predictable, maintainable, and user-friendly. The guide emphasizes creating high-quality user experiences through interactive terminal elements, actionable error reporting, and graceful handling of system signals. It distinguishes itself by detailing how to integrate command-line tools into automated pipelines, specifically through the use of structured output, standard input processing, and semantic exit signaling. Beyond interface design, the documentation covers essential operational practices such as managing dependency footprints, enforcing configuration precedence, and securing applications against injection. It also addresses distribution strategies, including containerization to ensure consistent execution across diverse computing environments.

This project is a shell scripting environment and task automation toolset that enables the execution of system commands directly within JavaScript. It functions as a process execution wrapper, providing a unified interface for spawning external utilities, managing system processes, and orchestrating complex workflows. The tool distinguishes itself by using tagged template literals to automatically escape shell arguments, which prevents command injection vulnerabilities during execution. It supports both synchronous and asynchronous command execution, allowing developers to choose between blocking the main thread for sequential logic or utilizing promise-based non-blocking patterns for concurrent operations. The environment covers a broad range of automation capabilities, including cross-platform task orchestration, infrastructure pipeline scripting, and real-time stream redirection. It provides primitives for capturing standard output, standard error, and exit codes, facilitating reliable error handling and control flow logic across different operating systems.

TextQL is a command line SQL query engine designed to execute relational queries directly against structured text files, such as CSV and TSV, without requiring a database import. It functions as a relational text file analyzer and a CSV processor that treats plain text files as virtual tables for filtering, joining, and aggregating data. The tool is built as a pipe-compatible data transformation utility, allowing it to process data from standard input and output formatted datasets. It enables relational joins across multiple files or directories within a single query to analyze relationships between different datasets. The engine includes automatic data type detection for numeric, date, and time values to ensure accurate calculations and sorting. It also supports the loading of external shared libraries to extend the query language with custom mathematical, string, and aggregate functions. Results can be exported to files using configurable delimiters.

This project is a curated knowledge base and technical reference for shell scripting, focused on performing common system tasks using only built-in shell features. It serves as a guide for implementing logic and automation without relying on external binaries or dependencies, ensuring scripts remain portable across standard Unix-like environments. The repository distinguishes itself by emphasizing native shell functions and syntax to minimize process forking and improve execution performance. It provides idiomatic patterns for complex string transformations, pattern matching, and data flow management, allowing developers to replace heavy external utilities with efficient, built-in alternatives. The collection covers a broad range of system administration and automation techniques, including file management, configuration handling, and environment isolation. The documentation is structured as a technical resource for developers seeking to write portable, lightweight scripts that function consistently across different command-line environments.

This project is a keyboard firmware framework and programmable keyboard ecosystem designed for Atmel AVR and ARM microcontrollers. It provides the embedded software necessary to implement the USB Human Interface Device standard, allowing hardware to communicate keystrokes and mouse movements to a host computer. The framework distinguishes itself by offering a comprehensive toolchain for custom hardware development, including a command line interface for project scaffolding, firmware flashing, and configuration linting. It supports a variety of flexible configuration methods, allowing users to define layouts and pin mappings through structured JSON files or visual design interfaces. The system covers a wide range of capabilities, including matrix scanning for switch detection, layer-based keymap resolution, and complex input handling such as key chords and tap-hold timing. It also includes drivers for hardware integration, such as battery level sampling, split keyboard synchronization, and the control of addressable RGB LEDs and backlighting. The project includes a development toolchain installer to set up the compilers and utilities required to build and deploy the firmware.

This library is a header-only C++ framework designed for the serialization, parsing, and manipulation of structured data. It provides a recursive variant data model that represents arbitrary structures as native types, allowing developers to navigate, modify, and patch hierarchical data using standard pointer paths and declarative update patterns. The project distinguishes itself through its template-based architecture, which enables type-safe data structures and custom type mapping at compile time. It offers a unified interface for binary format abstraction, supporting multiple compact representations to optimize storage and transmission. Additionally, the library implements an event-driven parsing model to minimize memory usage during large document traversal and provides native-like integration by mimicking standard container interfaces and iterator patterns. Beyond its core serialization and parsing capabilities, the library includes comprehensive tools for document patching, merging, and granular data modification. It supports flexible configuration for handling non-standard syntax, character encodings, and key order preservation, ensuring compatibility with diverse data requirements. The library is distributed as a single-header file, facilitating integration into existing projects through source embedding or standard package management systems.

xsv is a suite of high-performance command-line utilities written in Rust for the analysis, manipulation, and statistical processing of large delimited datasets. It provides a toolkit for processing comma-separated value files through a command line interface. The project provides capabilities for statistical analysis, including the computation of column statistics, value frequencies, and descriptive metrics. It also includes data manipulation utilities for joining, slicing, sampling, and reformatting records. The toolkit covers a broad range of data operations including column selection, data filtering, and structural modifications such as concatenating or splitting records. It further supports dataset indexing for faster row access and visual rendering of data as aligned tables.