Data Types

Effect Option represents optional values while Either models success or failure, composing safely inside Effect.gen blocks. Use Option.some and Either.right to wrap values, handling errors without exceptions across your application logic.

Effect Chunk provides an immutable collection for efficient data modeling and state management. Use Chunk operations to build type-safe, immutable sequences that interoperate seamlessly with other Effect APIs for robust collection handling.

Use Effect Cause to capture detailed failure information and Exit to represent results that can succeed or fail. They model typed errors and results explicitly, enabling structured error handling across your application workflows.

Effect DateTime and Duration provide type-safe primitives for temporal operations. Use them to model time spans, parse date-time values, and perform duration calculations that integrate cleanly with Effect workflows.

Effect Data provides value equality for immutable data structures, integrating with Schema for validation. Define data models using Data constructors, then validate and parse inputs through Schema to achieve type-safe application boundaries.

Effect Option, Either, and related data types are designed for universal use across front-end and back-end code. They provide consistent type-safe logic for error handling, optional values, and data modeling regardless of the platform target.