ahmadawais

ahmadawais / chartli

Public

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

x.comMrAhmadAwais
49
0
100% credibility
Found Mar 06, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Chartli is a command-line tool that renders various terminal-friendly charts like ASCII art, sparklines, bars, heatmaps, and SVG from plain numeric text data.

How It Works

1
🔍 Discover Chartli

You stumble upon Chartli, a fun tool that turns everyday lists of numbers into colorful charts right inside your text screen.

2
📝 Gather Your Numbers

Put your simple number data, like daily sales or test scores, into a plain text file.

3
🚀 Launch with Your Data

Point Chartli at your file and watch it instantly start creating charts without any hassle.

4
Pick a Chart Style
📈
Sparklines

See quick ups and downs in a compact line.

📊
Bars or Columns

Compare sizes with easy-to-read blocks.

🌡️
Heatmap or ASCII

Spot patterns in a grid or fun symbols.

5
📏 Tweak the Fit

Adjust the width or height so it looks perfect on your screen.

✨ Enjoy Your Chart

Delight in your stunning data picture, ready to share or analyze right there.

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Star Growth

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AI-Generated Review

What is chartli?

Chartli is a TypeScript CLI that transforms plain numeric text data into terminal-ready charts, supporting ASCII lines, sparklines, bars, columns, heatmaps, Unicode blocks, Braille patterns, and even SVG output. Run it instantly with npx chartli data.txt -t spark or pipe stdin for quick visualizations without installing anything. It solves the problem of eyeballing numbers in scripts, logs, or outputs like chart hits from chartink or chartliste deutschland.

Why is it gaining traction?

It stands out with eight distinct chart styles that render crisply in any terminal, from compact sparklines for GitHub Actions CI logs to SVG for pasting into docs. No heavy deps—just npx and go—works seamlessly on Linux, Ubuntu, Windows, or via GitHub Copilot CLI workflows. Devs hook on the zero-setup speed for ad-hoc data viz, beating browser tools or bloated libs.

Who should use this?

CLI power users scripting data analysis, like DevOps engineers debugging metrics in GitHub repo pipelines or Linux admins plotting server stats on the fly. Data scientists prototyping in terminal sessions, or backend devs sharing quick charts in PRs without Jupyter. Ideal for turnserver cli logs or tracking chartliste 1980-2025 trends.

Verdict

Grab it for fast terminal charts if you live in CLI—solid examples and cross-platform binaries make it dead simple. With 49 stars and 1.0% credibility score, it's early but mature enough for daily use; watch for more polish on edge cases.

(187 words)

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