Don't start from scratch. Our engineering team maintains production-ready open-source boilerplates. Clone them, add your keys, and have a working healthcare integration in minutes.
A complete React frontend demonstrating how to render Nostavia's lab interpretations and wearable telemetry into beautiful Recharts graphs. Includes NextAuth for JWT authentication and TailwindCSS for styling.
nostavia-nextjs-dashboard/
├── .env.example
├── package.json
├── src/
│ ├── app/
│ │ ├── api/
│ │ │ ├── auth/ # NextAuth route handlers
│ │ │ └── webhooks/ # HMAC webhook listeners
│ │ ├── dashboard/ # Protected dashboard routes
│ │ └── layout.tsx
│ ├── components/
│ │ ├── BiomarkerChart.tsx # Recharts implementation
│ │ └── SOMAChatbox.tsx # AI Concierge UI
│ └── lib/
│ └── nostaviaClient.ts # SDK Initialization
└── tailwind.config.js
git clone https://github.com/nostavia/nextjs-dashboard.git
cd nextjs-dashboard
cp .env.example .env.local
npm install
npm run dev
.env.local Configuration# Nostavia Sandbox Keys
NOSTAVIA_SECRET_KEY=nostavia_sk_test_51Mz...
NOSTAVIA_WEBHOOK_SECRET=whsec_9b83b...
# NextAuth Config
NEXTAUTH_URL=http://localhost:3000
NEXTAUTH_SECRET=generate_a_random_jwt_secret_here
A lightweight FastAPI server designed to sit behind an enterprise firewall. It securely accepts incoming HL7/FHIR payloads from an on-premise LIS (Laboratory Information System), strips all PII (names, SSNs), and pipes the completely anonymous data into the Nostavia Intelligence cloud.
nostavia-fastapi-lis/
├── .env
├── requirements.txt
├── Dockerfile
├── docker-compose.yml
└── app/
├── main.py # FastAPI application
├── anonymizer.py # Regex-based PII stripper
├── hl7_parser.py # HL7 to JSON converter
└── nostavia_router.py # HTTPX client for SOMA engine
git clone https://github.com/nostavia/fastapi-lis.git
cd fastapi-lis
cp .env.example .env
# Build and run the isolated container
docker-compose up --build
The server will expose a local endpoint at http://localhost:8000/hl7-ingest ready to accept local hospital network traffic.