Describe what your spreadsheet needs. PySheet generates clean Python code, runs it step by step, and visualizes results — right in the browser. No setup. No guessing.
$ pysheet run Q3_revenue.xlsx ↳ Analyzing 12,847 rows × 24 cols... ✓ What should I do with this sheet? ↳ "Sum revenue by region, flag YoY drop > 15%" ✓ Step 1/3: group_by_region() ✓ Step 2/3: calculate_yoy() ✓ Step 3/3: flag_declines() → Chart ready in browser▌
$19/month · Secure checkout
Describe what you want in plain English — PySheet translates it into production-ready Python automation, step by step.
Every transformation is broken into auditable actions. See exactly what each line of code does before running it.
Results render instantly in the browser — charts, filtered tables, pivot summaries — no local Python environment needed.
Save your transformation scripts to run on new sheets automatically. Build a library of Excel automations in minutes.
Upload any .xlsx or .csv file. PySheet reads your data, infers column types, and prepares the context for transformation.
> pysheet.load("Q3_sales.xlsx") ✓ 12,847 rows × 24 columns loaded
Tell PySheet what you need in plain English. "Pivot by region, sum revenue, flag any YoY decline over 15%." That's it.
> "Pivot by region, sum revenue, flag YoY decline > 15%" → Generating 4 steps...
PySheet generates clean, commented Python — one step at a time. Review, edit, or run directly. Results visualize immediately.
✓ Step 1/4: group_by_region() ✓ Step 2/4: sum_revenue() ✓ Step 3/4: calc_yoy_change() ✓ Step 4/4: flag_declines(0.15) → Chart rendered in browser
Start automating spreadsheet cleanup, pivots, and reporting with AI-generated Python workflows for one simple monthly price.
Includes AI-assisted transformations, Python workflow generation, reusable scripts, and browser-based previews.
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