Drop in any CSV file and instantly get statistics, interactive charts, correlation analysis, data quality reports — and optional AI insights powered by Claude.
Built for business analysts, developers, and anyone who works with CSV files.
Instantly compute mean, median, standard deviation, min, max, Q1, Q3 and IQR for every numeric column in your dataset.
Bar, line, scatter, and pie charts with selectable axes. Histograms for distribution analysis. Category frequency breakdowns for text columns.
Full Pearson correlation heatmap across all numeric columns. Instantly spot which variables move together or inversely.
Per-column missing value counts, coverage percentages, constant column detection, and unique value analysis — before you clean your data.
Rule-based outlier detection (2.5σ), skewness warnings, high variation flags, and strong correlation alerts — no setup required.
Connect your Anthropic API key and ask Claude natural language questions about your data. Get business summaries, forecasting advice, and more.
One click generates a polished, standalone HTML report with all statistics and insights — ready to share with your team or attach to a presentation.
Drag & drop CSV files straight onto the app window. Native file dialogs, keyboard shortcuts, and a proper menu bar on every platform.
Your data never leaves your machine. All analysis runs locally. No telemetry, no tracking, no cloud processing for core features.
Drag & drop a CSV file onto the app or use File → Open (Ctrl+O). PapaParse reads it instantly — headers are auto-detected and every column is classified as numeric, categorical, or date automatically.
Works with any CSV — no format restrictionsThe moment your file loads, the app computes full descriptive statistics, scans for outliers using the 2.5σ rule, checks every column for missing values, and calculates Pearson correlations between all numeric column pairs.
Switch to the Charts tab to visualise any combination of columns. Choose bar, line, scatter, or pie. See the distribution of numeric columns with histograms. Rank your categories by frequency.
The Data Quality tab gives you a full audit — missing percentages, unique counts, zero counts, and a status flag (OK / Some missing / High missing / Constant) for every column.
Add a free Anthropic API key in Settings and the AI Insights tab unlocks. Ask Claude "What story does this data tell?" or "Which columns should I use for forecasting?" — your raw data never leaves your machine, only column-level statistics are sent.
Only column statistics sent — not your raw dataClick Export Report (Ctrl+E) to generate a polished standalone HTML file with all your statistics, insights, and quality audit. Open it in any browser, email it, or drop it in a presentation.
Everything core is completely free. AI Insights requires an Anthropic API key — typical usage costs pennies per session.
| Feature | Free | With API Key |
|---|---|---|
| Load & parse CSV files (any size) | ✓ | ✓ |
| Automatic column type detection | ✓ | ✓ |
| Descriptive statistics (mean, median, std dev, Q1/Q3, IQR) | ✓ | ✓ |
| Outlier detection (2.5σ rule) | ✓ | ✓ |
| Interactive charts — bar, line, scatter, pie | ✓ | ✓ |
| Distribution histograms | ✓ | ✓ |
| Pearson correlation heatmap | ✓ | ✓ |
| Data quality audit with status flags | ✓ | ✓ |
| Automated rule-based insights | ✓ | ✓ |
| HTML report export | ✓ | ✓ |
| AI-powered natural language questions | — | ✓ |
| Business summary & recommendations | — | ✓ |
| Forecasting column suggestions | — | ✓ |
No account. No install wizard (portable option available). Just download and run.
v1.0.0 · Free & open source · View source on GitHub →