FastData is an AI-native data analysis platform with a ChatGPT-style conversational interface. Upload a CSV or Excel file and chat with your data — get instant profiling, visualizations, ML-powered predictions, domain-specific analytics, and comprehensive export packages, all within a single conversation.
| Category | Highlights |
|---|---|
| 🤖 Chat Interface | Conversational UX with rich messages (text, charts, insight cards). History saved to localStorage. |
| 📊 Data Profiling | Auto column typing, descriptive stats, quality scoring, outlier & duplicate detection. |
| 🔗 Correlation Engine | Pairwise Pearson correlations, matrix views, human-readable interpretations. |
| 💡 Insight Engine | 7 insight categories scored by importance — overview, quality, risk, trends, and more. |
| 📈 Chart Recommender | Automatic chart selection (bar, line, scatter, pie, histogram, box plot) with relevance scoring. |
| 🧠 Client-Side ML | Pure TypeScript models (Ridge, kNN, Naive Bayes, Decision Stump) for regression & classification. Train, predict, and export Python loaders — no server required. |
| 🏢 Domain Analytics | Auto-detect domain, then unlock specialized analysis for Finance, Crypto, Ecommerce, Medical, and Marketing. |
| 🤝 AI Copilot | Ask natural-language questions. Uses OpenRouter (free models) via the backend, with a full rule-based fallback when offline. |
| 🌙 Executive Narratives | Generate summaries in McKinsey, Bloomberg, or Consulting style through the AI Copilot. |
| 📦 Export Suite | ZIP with reports, slides, charts (PNG), CSVs, JSON, Python ML loader, and PPTX presentations (night/day themes). |
| 📋 Reports & Slides | Structured multi-section reports (Markdown + HTML) and auto-generated slide decks. |
| 🔌 Offline Mode | All core analysis runs client-side. The backend is optional and used only for AI features. |
# Install frontend dependencies
npm install
# (Optional) Install server dependencies
cd server && npm install && cd ..
# Start development (frontend + server)
npm run dev
# Frontend only
npm run dev:client
# Server only
npm run dev:serverCopy server/.env and set:
| Variable | Description | Default |
|---|---|---|
PORT |
Server port | 3001 |
OPENROUTER_API_KEY |
API key for AI Copilot | — |
CORS_ORIGIN |
Allowed origin | http://localhost:5173 |
MAX_FILE_SIZE |
Upload limit | 52428800 (50 MB) |
No API key? No problem. The client-side analysis engine works fully offline. The AI Copilot fallback uses rule-based answers when no key is configured.
- Start a new analysis — Click "New Analysis" in the sidebar.
- Upload your data — Drop a
.csvor.xlsxfile, or use the built-in sample dataset. - Chat with your data — Ask questions like:
- "Summarize this dataset"
- "What's the data quality?"
- "Show me correlations"
- "Detect anomalies"
- "What are the key insights?"
- "Predict the target variable"
- "Export everything"
- Explore results — Charts, insights, and tables appear directly in the conversation.
- Export — Download a comprehensive ZIP package with everything.
When you upload a file, FastData automatically detects the domain and unlocks specialized analytics:
| Domain | Capabilities |
|---|---|
| 💰 Financial | RSI, MACD, Bollinger Bands, drawdowns, Sharpe/Sortino/Calmar ratios, trend pattern detection |
| ₿ Crypto | Wallet profiling, gas optimization, token metrics, staking rewards, portfolio P&L, rug-pull risk scoring |
| 🛒 Ecommerce | RFM segmentation (7 customer segments), cohort retention, market basket analysis (association rules), CLV prediction |
| 🏥 Medical | Kaplan-Meier survival curves, clinical distribution analysis, trial efficacy/safety metrics, diagnostic accuracy (sensitivity, specificity, PPV, NPV), patient clustering, biomarker analysis |
| 📢 Marketing | Funnel analysis, attribution models, customer journey mapping, channel performance (ROAS, CPA, CTR), marketing mix modeling, CLV calculations |
FastData includes a full ML pipeline implemented in pure TypeScript — no external ML libraries or server required.
- Regression models: MeanBaseline, Ridge Linear (gradient descent), kNN Regressor, Decision Stump
- Classification models: Majority Baseline, kNN Classifier, Gaussian Naive Bayes, Decision Stump
- Auto feature engineering: Z-score normalization, one-hot encoding, date features
- Auto feature selection: Drops text, high-null, and high-cardinality columns
- Train/test split with deterministic sampling
- Ensemble comparison — best model is selected automatically
- Prediction interface — input values and get predictions
- Export: Python
.pkl-compatible model artifact, standalone Python loader script, performance reports
FastData/
├── src/ # Frontend (React + TypeScript)
│ ├── components/ # 38 UI components (Chat, Charts, Dashboard, etc.)
│ ├── engine/ # Core analysis engine
│ │ ├── parser.ts # CSV / XLSX parsing
│ │ ├── profiler.ts # Column profiling & data quality
│ │ ├── correlations.ts # Pearson correlation engine
│ │ ├── insightGenerator.ts # Automatic insight generation
│ │ ├── chartRecommender.ts # Chart type & config recommender
│ │ ├── mlEngine.ts # Client-side ML (no deps)
│ │ ├── copilot.ts # Rule-based AI fallback
│ │ ├── aiEngine.ts # OpenRouter API integration
│ │ ├── reportGenerator.ts # Markdown & HTML reports
│ │ ├── slideGenerator.ts # Slide deck generation
│ │ ├── exportEngine.ts # ZIP export with all artifacts
│ │ ├── chartCapture.ts # ECharts PNG capture (DOM + offscreen)
│ │ ├── clientPptx.ts # Client-side PPTX generation
│ │ ├── premiumExport.ts # Premium HTML/JSON reports
│ │ ├── domainDetector.ts # Automatic domain detection
│ │ └── domains/ # Domain-specific analytics
│ │ ├── financial.ts
│ │ ├── crypto.ts
│ │ ├── ecommerce.ts
│ │ ├── medical.ts
│ │ └── marketing.ts
│ ├── services/ # API client & server adapter
│ ├── stores/ # Zustand state (app, conversations, interactions, theme)
│ ├── types/ # TypeScript type definitions
│ └── utils/ # Utility functions
├── server/ # Backend (Express + TypeScript)
│ ├── src/
│ │ ├── routes/ # upload, copilot, reports, ai
│ │ ├── services/ # analyzer, insight engine, AI orchestrator, etc.
│ │ └── config/ # Server configuration
│ └── package.json
└── scripts/ # Dev server launcher
| Layer | Technology |
|---|---|
| Framework | React 19 + TypeScript 6 |
| Build | Vite 8 |
| Styling | Tailwind CSS v4 |
| Charts | Apache ECharts 6 |
| Animation | Framer Motion 12 |
| State | Zustand 5 |
| Icons | Lucide React |
| Data Parsing | PapaParse, SheetJS (xlsx) |
| Export | JSZip, FileSaver, PptxGenJS |
| Server | Express 4, Multer, Bull (Redis) |
| AI | OpenRouter (multi-model) |
Base URL: http://localhost:3001/api
| Method | Path | Description |
|---|---|---|
POST |
/upload |
Upload CSV/XLSX |
POST |
/upload/:id/analyze |
Run full analysis |
GET |
/upload/:id/insights |
Get insights |
GET |
/upload/:id/anomalies |
Get anomalies |
GET |
/upload/:id/correlations |
Get correlations |
GET |
/upload/:id/charts |
Get chart configs |
GET |
/upload/:id/report |
Generate report |
POST |
/upload/:id/export |
Export package |
DELETE |
/upload/:id |
Delete dataset |
| Method | Path | Description |
|---|---|---|
POST |
/copilot/query |
Ask a question |
POST |
/copilot/explain/:insightId |
Explain an insight |
GET |
/copilot/intents |
List available intents |
| Method | Path | Description |
|---|---|---|
GET |
/reports/styles |
List report styles |
POST |
/reports/generate |
Generate report |
POST |
/reports/generate-pptx |
Generate PowerPoint |
| Method | Path | Description |
|---|---|---|
GET |
/health |
Server status & AI config |
MIT License. Built for the future of data analytics.