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Synapse SDK

Build ML and data processing plugins.

Overview​

Synapse SDK is..

Key Features​

  • 🚀 Plugin Development and Testing: Develop modular, reusable components organized by categories for Synapse
  • ⚡ Distributed Computing: Built on Ray for scalable, distributed execution
  • 🔧 Multiple Execution Modes: Support for Jobs, Tasks, and REST APIs
  • 📦 Isolated Runtime Environments: Each plugin runs in its own environment with dependency management
  • 📊 Progress Tracking: Built-in progress monitoring and metrics reporting

Plugin Categories​

The SDK organizes plugins into specific categories:

  1. Neural Network (NEURAL_NET): ML model training, inference, and deployment
  2. Export (EXPORT): Data export and transformation operations
  3. Upload (UPLOAD): File and data upload functionality
  4. Smart Tools (SMART_TOOL): Intelligent automation tools
  5. Post-Annotation (POST_ANNOTATION): Post-processing after data annotation
  6. Pre-Annotation (PRE_ANNOTATION): Pre-processing before data annotation
  7. Data Validation (DATA_VALIDATION): Data quality and validation checks

Getting Started​

To get started with the Synapse SDK:

  1. Install the SDK
  2. Follow the Quickstart Guide
  3. Explore the API Reference
  4. Check out Examples

Next Steps​