An efficient client-side storage library for Angular with a simple localStorage-like API, built on IndexedDB and RxJS Observables.
angular-async-local-storage is an Angular library that provides a robust client-side storage solution. It offers a simple API similar to native localStorage but uses asynchronous IndexedDB internally to prevent UI freezes, with built-in RxJS Observables and data validation.
Angular developers who need efficient, persistent client-side storage for their applications, particularly those building reactive apps that require data validation and performance without UI blocking.
Developers choose this library because it combines the simplicity of localStorage with the performance of IndexedDB, integrates seamlessly with Angular's reactive patterns via RxJS Observables, and includes built-in validation using JSON Schema or Typebox for data security.
Efficient client-side storage for Angular: simple API + performance + Observables + validation
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Offers an API similar to native localStorage, making it easy to adopt for developers familiar with standard web storage, as highlighted in the README's emphasis on simplicity.
Uses IndexedDB internally to prevent UI freezes, providing high performance for frequent storage operations, addressing a key limitation of synchronous localStorage.
All operations return RxJS Observables, fitting perfectly into Angular's reactive ecosystem and enabling easy composition with other streams, as noted in the library's Angular-like design.
Supports validation with JSON Schema or Typebox, ensuring data integrity and security by catching invalid data at runtime, with detailed guides provided in the documentation.
Even for fire-and-forget writes, you must subscribe to the Observable, adding boilerplate code for simple operations, as the README explicitly warns that unsubscribed calls do nothing.
The library dismisses the need for temporary storage and does not support data expiration, requiring custom solutions for session-based data, which is a common use case not addressed.
Only fully supports serializable JSON data; storing objects like Date or Blob can lead to issues, as noted in the serialization guide, limiting flexibility for complex data structures.