No Code. No Python. No Setup.

The Data
Powerhouse
Workbench

Upload a CSV. Clean it. Query it. Visualize it. Run Python EDA. All inside your browser โ€” no installations, no APIs, no friction.

Launch Workbench See How It Works
๐Ÿ“Š
1,247,832 rows
Parsed in 2.3s
๐Ÿ
Python Ready
pandas + matplotlib
โšก
SQL in 0.00s
In-browser SQLite
๐Ÿค–
AI Summary
One-click report
Upload & Preview
Clean & Transform
SQL Query Engine
NL to SQL
KPI Cards
Chart Builder
Pivot Tables
Python EDA
AI Executive Report
Export PDF & CSV
Upload & Preview
Clean & Transform
SQL Query Engine
NL to SQL
KPI Cards
Chart Builder
Pivot Tables
Python EDA
AI Executive Report
Export PDF & CSV

Everything a data
analyst needs

8 powerful tools in one tab. Works for beginners and experts alike.

01 โ€” CORE
๐Ÿ“
Upload & Preview
Drag & drop any CSV โ€” even millions of rows. Instant column type detection (NUMBER, TEXT, DATE, BOOLEAN). Virtual scrolling keeps the UI buttery smooth at any scale.
PapaParse Virtual Scroll 1M+ rows Auto Type Detection
02
๐Ÿงน
Clean & Transform
Remove nulls, fix duplicates, rename columns, create calculated fields โ€” all with one click. Every action logged with timestamps.
Action Log Undo
03
๐Ÿ”
SQL + NL Query
Write real SQL or describe what you want in plain English. Both get you instant results โ€” powered by in-browser SQLite.
sql.js NL Engine
04
๐Ÿ“ˆ
Visualize
7 chart types with smart auto-suggestions. KPI cards for every numeric column. Feels like a mini Power BI โ€” inside your browser.
Chart.js Auto Suggest
05
๐Ÿ”ข
Pivot Tables
Excel-style drag-and-drop pivot builder. Rows, columns, values, filters โ€” with aggregation controls and row/column totals.
Drag & Drop Multi-field
06
๐Ÿ
Python EDA
Real Python โ€” pandas, numpy, matplotlib โ€” running in your browser. Describe what you want, get code, run it, see charts.
Pyodide NL to Python
07 โ€” AI
๐Ÿค–
AI Executive Report
One click generates a professionally written executive summary โ€” covering what was cleaned, what SQL showed, what charts revealed, and what to investigate next. Export as PDF instantly.
Auto Analysis PDF Export Full Report No API Key
1M+
Rows supported
7+
Chart types
0$
Cost to use
8ร—
Tools in one tab

Five steps.
One tab.

01
Upload your CSV
Drag & drop any file. Millions of rows handled instantly. Column types auto-detected.
UPLOAD & PREVIEW
02
Clean your data
Remove nulls, fix duplicates, rename columns, build calculated fields. One click per action.
CLEAN & TRANSFORM
03
Query it
Write SQL or describe what you want in plain English. Results in milliseconds.
QUERY
04
Visualize & pivot
Build charts and pivot tables with dropdowns. KPI cards auto-generated for all numeric columns.
VISUALIZE + PIVOT
05
Get your report
One click generates a full executive summary. Download everything as PDF.
AI REPORT

Real Python.
In your browser.

Describe your analysis in plain English. The workbench writes the Python code. You run it. Charts appear instantly โ€” no Jupyter, no installations, no server.

  • pandas + numpy + matplotlib โ€” all available
  • Natural language โ†’ Python code generator
  • Your CSV loaded as df automatically
  • Charts render directly in the output panel
  • Export code as .py file or output as PDF
eda_analysis.py
1# NL Input: "top 10 products by revenue"
2
3import pandas as pd
4import matplotlib.pyplot as plt
5
6df = get_data()
7
8top_data = df.groupby('product')
9    ['revenue'].sum()
10    .sort_values(ascending=False)
11    .head(10)
12
13print(top_data)
14top_data.plot(kind='bar', color='#1A56FF')
// OUTPUT
product          revenue
MacBook Pro     โ‚น4,82,000
iPhone 15       โ‚น3,91,500
AirPods Pro     โ‚น2,18,000
โœ“ Chart rendered โ†’ 847ms
"Built 100% with AI by a Data Analyst, not a Developer."
SP
Sanjay Polamarasetti
Data Analyst
๐Ÿ—„๏ธ SQL Engine
๐Ÿ Python EDA
๐Ÿ“Š Chart.js
๐Ÿค– AI Reports
๐Ÿ”ข Pivot Tables
๐Ÿ“„ PDF Export

Start
analysing
now.

No sign up. No credit card. No installation. Just upload your CSV and start working in under 10 seconds.

Open the Workbench