A shell script that generates sparkline graphs from numeric data directly in your terminal.
Spark is a command-line tool that generates sparkline graphs from numeric data directly in your terminal. It takes lists of numbers as input and outputs Unicode block characters that visually represent the data trends, making it easy to quickly visualize metrics without leaving the command line.
Developers, system administrators, and data enthusiasts who work in terminal environments and want to visualize numeric data inline in their shell scripts, prompts, or command pipelines.
Spark provides a dead-simple way to add data visualization to terminal workflows with zero dependencies, following Unix principles of composability and simplicity where it excels at one specific task.
▁▂▃▅▂▇ in your shell.
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Designed as a composable shell script that integrates seamlessly with pipes and tools like `cut` and `awk`, enabling effortless pipeline workflows as shown in the Git and earthquake examples.
A single, portable shell script that runs on any system with a basic shell, avoiding installation complexities and ensuring broad compatibility.
Quickly transforms numeric lists into sparklines with simple commands, making it ideal for ad-hoc trend analysis directly in terminal outputs or prompts.
Easily chains with Unix utilities for data processing, exemplified by usage with `sed` and `curl` to visualize real-time data streams like earthquake magnitudes.
Uses only 8 Unicode block characters, which can obscure fine data details and may not accurately represent complex variations, reducing analytical depth.
The README admits that irregular blocks can occur due to font fallbacks, leading to inconsistent and potentially misleading visualizations across different terminals.
Lacks features for custom scaling, color output, or handling non-standard data formats, limiting flexibility for advanced or tailored use cases.