Schema Developers Guide

This section is for Python developers who want to use the LinkML framework programmatically to build schemas, work with data, and integrate LinkML into their applications.

If you are looking to contribute to the LinkML framework itself, see the Maintainers Guide guide.

Contents:

• 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