Developer Tools | Smart Neuron

Official SDKs

🐍

Python SDK

v2.5.0

Complete Python library for model inference, training, and data processing with async support.

Model serving & inference
Batch processing
Real-time streaming
Type hints & documentation

View Docs

⚛️

JavaScript SDK

v1.8.0

Full-featured JavaScript and TypeScript SDK for browser and Node.js environments.

Browser & Node.js
Promise & async/await
WebSocket support
TypeScript definitions

View Docs

☕

Java SDK

v1.4.2

Enterprise-grade Java library for building scalable AI-powered applications.

Maven & Gradle support
Reactive streams
Circuit breaker pattern
Connection pooling

View Docs

🐹

Go SDK

v0.9.1

Lightweight and efficient Go library optimized for high-performance microservices.

Concurrency support
Zero dependencies
gRPC ready
Context-aware

View Docs

💎

Ruby SDK

v0.7.0

Rails-friendly Ruby gem for seamless integration with Ruby on Rails applications.

Rails 7+ support
ActiveRecord integration
Sidekiq support
Built-in caching

View Docs

🔷

C# .NET SDK

v2.1.0

Full-featured SDK for .NET Framework and .NET Core applications.

.NET 6+ support
Dependency injection
Entity Framework integration
Polly resilience

View Docs

REST API

Access Smart Neuron services directly via REST API endpoints. All endpoints support authentication, rate limiting, and comprehensive error handling.

📊 Model Inference

Send data for real-time predictions and get results in milliseconds with high accuracy.

🔄 Batch Processing

Process large datasets asynchronously with webhook callbacks upon completion.

📈 Analytics API

Query historical data, trends, and performance metrics with flexible filtering.

🔐 Access Control

Role-based access control and API key management for secure integrations.

⚙️ Configuration

Manage models, pipelines, and settings programmatically via API.

📡 Webhooks

Real-time event notifications for model updates, alerts, and completions.

Example API Call

            POST /api/v1/models/predict
            curl -X POST https://api.smart-neuron.digital/v1/models/predict \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_id": "model_12345",
    "input_data": [1.2, 3.4, 5.6, 7.8],
    "return_probabilities": true
  }'
        

GraphQL API

Query exactly the data you need with our GraphQL endpoint. Reduce over-fetching and get more efficient data retrieval.

Example GraphQL Query

            Query predictions with custom fields
            query {{
  model(id: "model_12345") {{
    id
    name
    version
    predictions(limit: 10) {{
      id
      timestamp
      confidence
      output
    }}
  }}
}}
        

Getting Started in 5 Minutes

Get API Key

Install SDK

Install the SDK for your programming language using your package manager.

Initialize Client

Create a client instance with your API key and configure options.

Make Your First Call

Send data to the API and receive predictions in seconds.

Deploy to Production

Scale your integration with enterprise-grade security and monitoring.

Developer Resources

Documentation & Guides

API Reference

Complete endpoint documentation with request/response examples and error codes.

Access

SDK Tutorials

Step-by-step guides for integrating each SDK into your projects.

View

Code Examples

Real-world examples covering common use cases and integration patterns.

Explore

Best Practices

Performance optimization, error handling, and security guidelines.

Learn

Troubleshooting

Common issues, debugging tips, and frequently asked questions.

Help

Status Page

Real-time API status, incident history, and scheduled maintenance.

Check

Developer Tools & Services

🧪

API Sandbox

Risk-free testing environment with sample data and sandboxed credentials.

Try Now

📚

Swagger UI

Interactive API explorer to test endpoints and browse documentation visually.

Open

📦

Postman Collection

Pre-built Postman collection with all API endpoints and example requests.

Download

🐳

Docker Image

Ready-to-use Docker image for quick local development and testing.

Pull

💬

Community Forum

Connect with other developers, share solutions, and get community support.

Join

🤝

Support

Priority technical support team ready to help with integration issues.

Contact

Quick Start Examples

Python

            Initialize and make a prediction
            from smart_neuron import Client

# Initialize client
client = Client(api_key='your_api_key')

# Make a prediction
result = client.models.predict(
    model_id='model_12345',
    input_data=[1.2, 3.4, 5.6, 7.8]
)

print(f"Prediction: {result.output}")
print(f"Confidence: {result.confidence}")
        

JavaScript

            Using async/await pattern
            const SmartNeuron = require('smart-neuron');

// Initialize client
const client = new SmartNeuron.Client({{
  apiKey: 'your_api_key'
}});

// Make a prediction
const result = await client.models.predict({{
  modelId: 'model_12345',
  inputData: [1.2, 3.4, 5.6, 7.8]
}});

console.log(`Prediction: ${result.output}`);
console.log(`Confidence: ${result.confidence}`);
        