Developers guide

This section of the documentation is aimed primarily at Python developers who want to use the LinkML framework programmatically

Contents:

• GitHub Organization
  • Core Packages
  • The metamodel
  • Productivity utilities
  • Working with different backends
  • Additional packages
  • LinkML for other languages
• Jupyter Notebooks
  • LinkML Notebooks
  • linkml-runtime Notebooks
• Manipulating Schemas
• How to Manage Releases of your LinkML Schema
  • Follow Semantic Versioning (SemVer)
  • Using GitHub for Release Notes
  • Making pre-releases
  • Database Migrations and Their Role in Releases
  • Conclusion
• SchemaView
  • SchemaView
• SchemaBuilder
  • SchemaBuilder
• Data Conversion: Loaders and Dumpers
  • JSON Conversion
  • YAML Conversion
  • RDF Conversion
  • CSV Conversion
• Inferring Missing Values
  • Expressions
  • String serialization
  • Configuration
  • Code
• Using SQL Databases
• SQLStore
  • SQLStore
  • Command Line
• Tool Implementer Guide
  • General Considerations
  • Schema Conformance Levels
  • Other Languages
  • General Guidelines for applications
  • Customizing and application hints
  • Using other frameworks
• Contributing Code
• Deprecations
  • Guidelines
  • Process
  • API
  • See Also