Turn raw data into
visual insights.

Import CSV, JSON, Excel, or connect to databases. Ask questions in plain English and get interactive charts, statistical analysis, and shareable reports — all processed locally.

What makes it powerful

Drag & drop import

Drop CSV, JSON, Excel, Parquet, or SQLite files directly. Alabobai auto-detects schemas, data types, and relationships.

Natural language queries

Ask "What's the average revenue by region?" and get instant results. No SQL, no pandas — just plain English questions.

15+ chart types

Bar, line, scatter, heatmap, treemap, sankey, and more. AI picks the best visualization or you can specify exactly what you want.

Statistical analysis

Built-in regression, correlation, hypothesis testing, and outlier detection. Get p-values, confidence intervals, and effect sizes automatically.

Report generation

Generate polished PDF or HTML reports with charts, tables, and narrative explanations. Share insights without sharing raw data.

Data never leaves

Analysis runs through governed execution pipelines. Your datasets, queries, and results follow your selected data policy with full traceability.

See it in action

Ask a question, get a chart and statistical summary instantly.

Data Analyst
$ alabobai data load sales_2025.csv

Loaded 24,831 rows x 12 columns
Detected: date, region, product, revenue, quantity, customer_id...
Dataset ready for analysis

analyst> Show monthly revenue trend by region with a breakdown

Generating pandas code... executing in sandbox...


Key findings:
- Total revenue: $4.2M (+18% YoY)
- North America leads at 42% of revenue
- Strongest growth: APAC region (+34% QoQ)
- Seasonal peak: Q4 accounts for 31% of annual
Chart saved: revenue_by_region.png

How it works

1

Load your data

Drag and drop files or connect to a database. Alabobai auto-detects schemas and creates a data profile with summary statistics.

2

Ask questions

Type questions in plain English. The AI translates your query into pandas/SQL code and executes it in a sandboxed environment.

3

Get visual insights

Receive interactive charts, statistical summaries, and natural language explanations. Export as PDF reports or PNG charts.

Technical specifications

Input formatsCSV, JSON, Excel, Parquet, SQLite
Chart types15+ (matplotlib + plotly)
Max dataset size10M rows (Pro)
Analysis enginepandas + scipy + statsmodels
Export formatsPDF, HTML, PNG, SVG
Code executionSandboxed (WASM/Docker)
Statistical testst-test, ANOVA, chi-sq, regression
Data stored in cloudNone

Your data, your insights

Load a dataset and get your first chart in under 60 seconds. No data science degree required.