simonw

simonw / chartroom

Public

CLI tool for creating charts

34
2
100% credibility
Found Feb 18, 2026 at 17 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Chartroom is a tool for quickly creating bar, line, scatter, pie, and histogram charts from tabular data in files or simple databases, complete with automatic descriptions.

How It Works

1
🔍 Discover Chartroom

You hear about a simple way to turn your lists of numbers into pretty pictures like bars or pies.

2
đź“Ą Get it ready

You add this chart maker to your computer tools in just a moment.

3
đź“‹ Prepare your data

You take your table of info, like sales by region or scores, from a file or notes.

4
🎨 Make your chart

You pick the picture type, like bars or lines, and say which numbers go where—it draws it right away.

5
✨ Make it yours

You add a title, labels, or a favorite color scheme to make it look just right.

6
đź’¬ Get description

It gives you the picture file plus words describing what's shown, perfect for everyone.

🏆 Share your story

Your chart brings your data to life in reports or posts, easy and beautiful.

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AI-Generated Review

What is chartroom?

Chartroom is a Python CLI tool that generates matplotlib charts—bar, line, scatter, pie, histogram—from CSV, TSV, JSON, JSONL files or SQLite queries in one command. Pipe data via stdin, auto-detect columns like "name" for categories and "value" for metrics, and get PNG outputs with titles, labels, sizes, DPI, and 25+ styles like ggplot or fivethirtyeight. It spits out file paths or embeds ready for markdown, HTML, JSON, including smart alt text that lists small datasets or summarizes large ones.

Why is it gaining traction?

Zero-config column guessing and multi-format stdin/SQLite support make it faster than firing up Jupyter for ad-hoc visuals. Output formats shine in docs—markdown images with descriptive alts beat manual tweaks—while styles and auto-incrementing filenames fit scripts, GitHub Actions (cli github actions), Linux/Ubuntu/Windows (cli github linux, cli github ubuntu, cli github windows). Unlike bloated dashboards, it's a lightweight cli tool python for instant, accessible charts.

Who should use this?

Backend devs automating reports in pipelines (cli github push, cli github repo), data analysts querying SQLite for quick histograms, or script kiddies needing pie charts without GUIs. Perfect for cli github manual workflows or embedding in tools like Copilot extensions (cli github copilot). Avoid for interactive plotting or heavy stats.

Verdict

Grab it for dead-simple charts in terminals—killer docs, tests, and demos outweigh 14 stars and 1.0% credibility score. Early maturity means watch for edge cases, but it's production-ready for pipelines today.

(198 words)

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