Skip to content
| Marketplace
Sign in
Visual Studio Code>Data Science>StreamSense — Real-time Data IntelligenceNew to Visual Studio Code? Get it now.
StreamSense — Real-time Data Intelligence

StreamSense — Real-time Data Intelligence

streamsense

|
1 install
| (0) | Free
Detect anomalies and monitor your data streams directly in VS Code. AI-powered insights without leaving your editor.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

StreamSense for VS Code

Real-time anomaly detection for your data streams — directly in your editor.

Version License: MIT


What is StreamSense?

StreamSense brings production data monitoring directly into your development workflow. Connect your databases, APIs, and services, and get instant AI-powered anomaly alerts without leaving VS Code.

Key principle: 15 minutes from install to first insight.


Features

🔴 Live Data Streams

  • Monitor 6+ key metrics simultaneously in real time
  • Configurable refresh rate (default: 1s)
  • Beautiful sparkline charts in the dashboard panel

🧠 AI-Powered Anomaly Detection

  • Z-Score algorithm for spike detection (configurable threshold, default: 2.5σ)
  • CUSUM algorithm for progressive drift detection
  • AI analysis powered by Claude Sonnet: not just "something is wrong" but why and what to do

🔌 Data Source Connectors

  • PostgreSQL, MySQL, MongoDB, Redis
  • Kafka, AWS CloudWatch
  • Stripe API, Shopify
  • Google Analytics, Datadog
  • Custom HTTP endpoints

📊 VS Code Native UI

  • Activity bar sidebar with Sources, Alerts, and Metrics tree views
  • Webview Dashboard with real-time charts (Cmd/Ctrl+Shift+S)
  • Status bar showing live transaction rate and alert count
  • Native notifications for critical anomalies

Getting Started

1. Install the extension

ext install streamsense.streamsense

2. Open the dashboard

Press Cmd+Shift+S (Mac) or Ctrl+Shift+S (Windows/Linux), or click the StreamSense icon in the Activity Bar.

3. Choose your mode

Demo Mode (local only)

No configuration needed. StreamSense runs in Demo Mode automatically, simulating realistic e-commerce data streams so you can explore all features immediately.

Backend Mode (beta)

If you have access to a StreamSense backend (e.g. Azure App Service + Supabase):

Add this to your VS Code settings (JSON view):

{
  "streamsense.backendEnabled": true,
  "streamsense.backendUrl": "https://streamsense-backend.azurewebsites.net",
  "streamsense.backendApiKey": "your-backend-api-key"
}
  • backendEnabled : active l’utilisation du backend au lieu du simulateur pur.
  • backendUrl : URL de votre backend StreamSense (HTTP/HTTPS).
  • backendApiKey : clé API envoyée dans l’en-tête x-streamsense-key pour protéger votre backend.

4. (Optionnel) Configurer votre API key IA

Pour l’analyse IA, ajoutez votre clé StreamSense/Claude dans les settings :

{
  "streamsense.apiKey": "sk-..."
}

Configuration

Setting Default Description
streamsense.apiKey "" StreamSense / Claude API key for AI analysis
streamsense.apiUrl https://api.streamsense.io Cloud API endpoint (future SaaS)
streamsense.refreshInterval 2000 Data refresh in ms (min: 500)
streamsense.anomalyThreshold 2.5 Z-score threshold (σ)
streamsense.enableNotifications true VS Code notifications for critical anomalies
streamsense.enableStatusBar true Status bar indicator
streamsense.autoConnect true Auto-connect on startup
streamsense.backendEnabled false Enable local/remote backend instead of pure demo mode
streamsense.backendUrl http://localhost:4000 Backend URL (local dev or deployed, e.g. Azure App Service)
streamsense.backendApiKey "" Optional backend API key sent as x-streamsense-key

Commands

Command Shortcut Description
StreamSense: Open Dashboard Ctrl+Shift+S Open main webview dashboard
StreamSense: Connect Data Source — Add a new data source
StreamSense: Analyze with AI — Trigger Claude AI analysis
StreamSense: Pause/Resume Stream — Toggle data streaming
StreamSense: Clear All Alerts — Clear the alert history

Demo Mode

No data source? No problem. StreamSense runs in Demo Mode automatically, simulating realistic e-commerce data streams so you can explore all features immediately.

Use the Anomaly Simulator in the dashboard to inject artificial anomalies and see detection in action.


Privacy & Security

  • All data processing happens locally by default
  • When backendEnabled is true, only the data needed for metrics/alerts is sent to your backend URL
  • Backend requests can be protected with x-streamsense-key (see streamsense.backendApiKey)
  • API keys are stored in VS Code's secure secret storage when possible
  • No telemetry or data collection without explicit consent
  • GDPR compliant — your data never leaves your infrastructure / backend

Roadmap

  • [ ] v0.2: Webhook alerts (Slack, email)
  • [ ] v0.3: Custom alert rules (natural language)
  • [ ] v0.4: Historical data visualization
  • [ ] v0.5: Team sharing & collaborative monitoring
  • [ ] v1.0: Full StreamSense platform integration

Contributing

StreamSense is in private beta. Join the waitlist to get early access and influence the roadmap.

Bug reports and feature requests: GitHub Issues


License

MIT © 2026 StreamSense


Built with ❤️ for developers who care about their data.

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2026 Microsoft