|
DataPulse Studio is a next-generation analytics platform that combines the power of Large Language Models, DuckDB-Wasm, and Modern Web Technologies to transform raw datasets into beautiful interactive dashboards. Simply: 📂 Upload a CSV or Parquet file 💬 Describe insights in plain English 🧠 Let AI generate SQL automatically 📊 Receive a complete interactive dashboard Traditional BI platforms often require: ❌ Uploading sensitive datasets ❌ Dedicated analytics infrastructure ❌ SQL expertise ❌ Cloud databases ❌ Complex dashboard configuration DataPulse Studio changes that with: ✅ Local Browser Analytics ✅ AI Dashboard Generation ✅ Interactive Visualizations ✅ Real-Time Cross Filtering ✅ Zero Backend Database ✅ Privacy-First Architecture |
| Feature | Description |
|---|---|
| 🧠 AI Text-to-Dashboard | Natural language → SQL → Dashboard |
| ⚡ DuckDB-Wasm Engine | Browser-native analytical processing |
| 🔒 Privacy First | Data never leaves user device |
| 📊 Interactive Charts | Recharts-powered visualizations |
| 🔄 Cross Filtering | Real-time dashboard interactions |
| 📝 SQL Drawer | Inspect generated queries |
| 🤖 AI Auto Fix | Automatically repair SQL errors |
| 🎬 Presentation Mode | Full-screen presentation experience |
| 🚀 Zero Backend Database | No server-side storage |
| 🌐 Modern UI | Built with React, Next.js & Tailwind |
flowchart LR
A[CSV / Parquet Upload]
--> B[Next.js Interface]
B --> C[Natural Language Prompt]
C --> D[Groq LLM]
D --> E[DuckDB SQL]
D --> F[Dashboard Configuration]
A --> G[DuckDB-Wasm Engine]
E --> G
G --> H[Local Query Execution]
H --> I[Analytics Results]
I --> J[Interactive Dashboard]
J --> K[Cross Filtering]
K --> J
J --> L[Presentation Mode]
M[SQL Error]
--> N[AI Auto Fix]
N --> D
Upload Dataset
↓
AI Prompt
↓
SQL Generation
↓
DuckDB Execution
↓
Dashboard Creation
↓
Cross Filtering
↓
Presentation Mode
date,customer,region,product,revenue
2026-01-01,Acme Corp,North,Laptop,1200
2026-01-02,TechHub,South,Phone,850
2026-01-03,Acme Corp,East,Tablet,650Show monthly revenue trends.
Compare sales across regions.
Display top 10 customers by revenue.
Generate an executive KPI dashboard.
Create a product category contribution pie chart.
✅ No Cloud Database
✅ No Dataset Upload Storage
✅ No Backend Data Processing
✅ Local Query Execution
✅ Local Dashboard Rendering
✅ Browser-Native Analytics
✅ User-Owned Data
Only the metadata required to generate SQL and dashboard configurations.
- CSV Files
- Parquet Files
- Query Results
- Dashboard Data
- Filters
- Analytics Outputs
- Business Intelligence
- Executive Reporting
- Sales Analytics
- Marketing Dashboards
- Product Analytics
- Customer Insights
- Secure Enterprise Analytics
- Internal Data Exploration
- Multi-File Joins
- Dashboard Export (PDF/PPT)
- Saved Dashboard Templates
- Team Collaboration
- AI Insight Narratives
- Forecasting Models
- Streaming Analytics
- Enterprise Connectors
This repository is publicly visible for portfolio and demonstration purposes only.
Unauthorized:
❌ Copying
❌ Redistribution
❌ Commercial Usage
❌ Derivative Works
❌ Repackaging
❌ AI Training Usage
without explicit written permission is prohibited.
Viewing is permitted.
Ownership transfer is not.
For licensing inquiries:
All Rights Reserved.
Permission is NOT granted to:
- Copy
- Modify
- Redistribute
- Sublicense
- Sell
- Commercialize
this software without prior written authorization from the copyright holder.