A pragmatic JavaScript library providing functional algebraic data types (Maybe, Result) with a simplified API for safe data handling.
Pratica is a JavaScript library that provides functional algebraic data types, specifically Maybe and Result monads, for handling nullable data and conditional logic safely. It solves common problems like runtime errors from unexpected nulls or undefined values by wrapping data in type-safe containers with pragmatic APIs.
JavaScript developers seeking to adopt functional programming concepts for safer data handling without the complexity of full-fledged FP libraries. It's ideal for those working with unreliable data sources or complex conditional logic.
Developers choose Pratica for its simplified and approachable API that sacrifices some FP purity for practicality, enabling quick adoption while maintaining data integrity and safety through algebraic data types.
🥃 Functional Algebraic Data Types
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
With a small bundle size highlighted on Bundlephobia, Pratica adds minimal overhead, making it easy to integrate without bloating projects.
Sacrifices strict FP guidelines for simplicity, offering an approachable API with methods like .map and .cata that reduce boilerplate while maintaining data safety.
Provides .toResult() and .toMaybe() methods for seamless conversion between monad types, enhancing flexibility in error and data handling workflows.
Includes helpers like parseDate, encase, and get for common safe operations, streamlining tasks such as date parsing and nested property access without manual null checks.
Only offers Maybe and Result monads, lacking other common FP types like Either or Task, which may require additional libraries for complex functional programming scenarios.
Does not provide monadic handling for asynchronous operations, forcing developers to manually wrap promises or use external solutions for async error and data flow.
The documentation, while detailed, expects prior knowledge of functional programming concepts, which can steepen the learning curve for developers new to monads and algebraic data types.