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And we are excited to have you!

Vite+ is open source under MIT and free for everyone.

Announcing Vite+ Alpha.
Now open source.

To make JavaScript developers more productive than ever before.

A single binary that:

◆ Unifies your frontend toolchain
◆ Manages your runtime & pkg manager
◆ Caching & monorepo support

Works with every framework and meta framework in the Vite ecosystem.

Wait until tomorrow 👀

If you work in terminals and want quick data visualization without leaving your workflow, try it.

⌘ let's go!!

day

Zero config by default, every dimension overridable (-w width, -h height, -m SVG mode). No config files. No themes. No dashboards.

$ npm i -g chartli
Or run instantly:
$ npx chartli

signups
    91 │                      ●   87
       │                     91    ●
       │            73
       │             ●   68
  66.5 │   58             ●
       │    ●   49
       │42       ●
    42 │●
       └────────────────────────────
        1   2    3   4    5   6    7

• --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