coco
94 lines
2.5 KiB
Markdown
94 lines
2.5 KiB
Markdown
---
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title: "Thread by @MrAhmadAwais"
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source: "https://x.com/MrAhmadAwais/status/2029680947755733452"
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author:
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- "[[@MrAhmadAwais]]"
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published: 2026-03-06
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created: 2026-03-06
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description:
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tags:
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- "clippings"
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---
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**Ahmad Awais** @MrAhmadAwais [2026-03-05](https://x.com/MrAhmadAwais/status/2029680947755733452)
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Introducing chartli 📊
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CLI that turns plain numbers into terminal charts. ascii, spark, bars, columns, heatmap, unicode, braille, svg.
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$ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒
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I wanted terminal charts with zero setup. No browser, no Python env, no matplotlib. Pipe numbers in, get a chart out.
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Again built using Command Code with my CLI taste.
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$ npx chartli data.txt -t ascii -w 24 -h 8
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8 chart types spanning a fun range of Unicode density:
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\- ascii (line charts with ○◇◆● markers)
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\- spark (▁▂▃▄▅▆▇█ sparklines, one row per series)
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\- bars (horizontal, ░▒▓█ shading per series)
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\- columns (vertical grouped bars)
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\- heatmap (2D grid, ░▒▓█ intensity mapping)
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\- unicode (grouped bars with ▁▂▃▄▅▆▇█ sub-cell resolution)
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\- braille (⠁⠂⠃ 2×4 dot matrix, highest density)
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\- svg (vector output, circles or polylines)
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Input format is dead simple: rows of space-separated numbers. Multiple columns = multiple series.
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0.0 0.1 0.1 0.1
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0.2 0.4 0.2 0.4
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0.3 0.2 0.4 0.2
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Composes with pipes:
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$ cat metrics.txt | chartli -t spark
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S1 ▁▂▃▄▅▆
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S2 ▁▄▂▇▅█
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S3 ▁▂▄▃▆▅
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S4 ▁▄▂▇▂▇
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The braille renderer is my fav. Each braille character encodes a 2×4 dot grid, so a 16-wide chart gives you 32 pixels of horizontal resolution. Free anti-aliasing from Unicode.
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The bars renderer uses 4 shading levels (░▒▓█) to visually separate series without color. Works on any terminal, any font.
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Heatmap maps values to a 5-step intensity scale across a row×column grid, so you can spot patterns in tabular data at a glance.
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SVG mode has 2 render paths: circles (scatter plot) and lines (polylines). Output is valid XML you can pipe straight to a file or into another tool.
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Zero config by default, every dimension overridable (-w width, -h height, -m SVG mode).
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No config files.
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No themes.
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No dashboards.
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$ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒
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Or global install it.
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$ npm i -g chartli
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\# Skill for your agents
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$ npx skills add ahmadawais/chartli
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If you work in terminals and want quick data visualization without leaving your workflow, try it.
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⌘ let's go!!
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