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• --x-labels: Custom tick labels
• --series-labels: Name your data series
• --data-labels: Show raw values on the chart
• --first-column-x: Treat first column as x-axis domain

Example with labels:
$ npx chartli weekly-signups.txt -t ascii -w 28 -h 8 --first-column-x --data-labels

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.

NEW in v1.0: Chart labels & annotations! 🎯

• --x-axis-label: Add titles to axes
• --y-axis-label: Label your dimensions

The bars renderer uses 4 shading levels (░▒▓█) to visually separate series without color. Works on any terminal, any font.

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.

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.

Input format is dead simple: rows of space-separated numbers. Multiple columns = multiple series.

Composes with pipes:
$ cat metrics.txt | chartli -t spark

S1 ▁▂▃▄▅▆
S2 ▁▄▂▇▅█
S3 ▁▂▄▃▆▅
S4 ▁▄▂▇▂▇

• columns (vertical grouped bars)
• heatmap (2D grid, ░▒▓█ intensity mapping)
• unicode (grouped bars with ▁▂▃▄▅▆▇█ sub-cell resolution)
• braille (⠁⠂⠃ 2×4 dot matrix, highest density)
• svg (vector output, circles or polylines)

Built with Command Code using my CLI taste.

$ npx chartli data.txt -t ascii -w 24 -h 8

Chart types spanning a fun range of Unicode density:
• ascii (line charts with ○◇◆● markers)
• spark (▁▂▃▄▅▆▇█ sparklines, one row per series)
• bars (horizontal, ░▒▓█ shading per series)

📊 chartli v1.0.0 is here!

CLI that turns plain numbers into terminal charts. ascii, spark, bars, columns, heatmap, unicode, braille, svg.

$ npx chartli

I wanted terminal charts with zero setup. No browser, no Python env, no matplotlib. Pipe numbers in, get a chart out.

dusted off the door buzzer val for the party today

Kelly Poplaski kept looking at the tools her team was paying for that didn't quite fit.

"What if we could build exactly what we wanted instead?"

So she did. A custom employee sentiment survey, built and deployed on Netlify. No engineers. Just prompts, iteration, and a problem worth solving.

Launch week day 2 part 2: We also got Vitest 4.1 👏🏻

Launch week DAY TWO.

First we have Vite 8 🔥

this is the most impressive disclaimer you'll see on tech bluesky

How many config files does one need, right?