Launched this week

aiboxplot

Launched this week

Free box plot charts with AI analysis

6 followers

Free box plot charts with AI analysis

6 followers

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Free AI-powered box plot maker & generator. Create box and whisker plots, violin plots, histograms, scatter plots, and more. Paste your data or generate it with AI. Instant five-number summary, outlier detection, and export to PNG/SVG.

Free

Launch tags:Analytics•Education•Developer Tools

Launch Team

Framer 3.0With Agents, Branching Community and an all-new design

Promoted

Maker

📌

Hey Product Hunt! 👋 I built aiboxplot because I was tired of opening Python or Excel every time I wanted a quick box plot. Most online chart tools either require sign-up, have ads everywhere, or use approximations that don't match what NumPy gives you. aiboxplot does three things differently: 1. **Correct math** — Quartiles use linear interpolation (Hyndman & Fan method 7), the same as Python's NumPy and pandas. Outliers use Tukey's fences with adjustable thresholds. Notches use the McGill-Tukey-Kramer 95% CI method. I didn't cut corners on the statistics. 2. **Pure SVG rendering** — No D3, no Chart.js, no canvas tricks. Every chart is hand-coded SVG. It's fast, sharp at any resolution, and the rendering engine is [open source](https://github.com). 3. **Privacy-first** — All computation happens in your browser. Your data never touches a server. There's no database, no tracking, no accounts. Paste your numbers, get your chart, move on. The AI chat can analyze your results, suggest transformations, and explain statistical concepts — but even that only receives anonymized summary stats, never raw data. I built it for students grinding through stats homework, researchers who need quick exploratory plots, and anyone who wants to understand their data without fighting with software. Would love your feedback — especially from statisticians and data people. What would make this your go-to tool? → **[aiboxplot.com](https://aiboxplot.com)**

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1d ago

how does the AI data generation handle cases where i need a specific sample size or particular distribution shape, or is it mostly random noise?

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15h ago

The outlier detection feels really thoughtful, especially how it surfaces them right alongside the five-number summary instead of burying them in a separate panel. Clean, focused, and it respects the user's time.

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19h ago

The instant five-number summary showing up the moment you paste data is such a thoughtful touch, saves so much back-and-forth for anyone teaching stats. Clean output too.

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7h ago

Framer 3.0With Agents, Branching Community and an all-new design

Promoted

Maker

📌

Report

1d ago

how does the AI data generation handle cases where i need a specific sample size or particular distribution shape, or is it mostly random noise?

Report

15h ago

Report

19h ago

The instant five-number summary showing up the moment you paste data is such a thoughtful touch, saves so much back-and-forth for anyone teaching stats. Clean output too.

Report

7h ago