@bitfiber/rx - Reactive State and Asynchronous Dataflow Management Library

@bitfiber/rx is a powerful and flexible library built on top of RxJS, tailored for managing reactive state, asynchronous dataflow, and events in modern JavaScript applications. It introduces a structured approach to handle complex data flows through key components such as emitters, states,groups, and stores.

This library seamlessly integrates various reactive sources like emitters, states, and observables, enabling a cohesive and efficient dataflow. Emitters and states can be organized into groups and stores, streamlining management and lifecycle control for related reactive components.

Whether you’re working on small or large-scale applications, @bitfiber/rx simplifies reactive programming, making it more efficient and maintainable.

Key Components

  1. Store

The Store is a foundational component for implementing reactive state management and handling asynchronous data flow in modules or entire applications. It serves as a central hub, organizing and managing store items like emitters, states, and groups, ensuring seamless interaction among them.

  1. Emitters

Emitters are fundamental units of communication in the reactive store. They enable straightforward creation and management of reactive streams, integrating seamlessly with other reactive sources like emitters, states, and observables. This integration allows you to build complex networks of streams and effectively manage reactive data flows.

  1. States

States are the core data containers in the reactive store, responsible for maintaining and broadcasting data updates to multiple subscribers. Like emitters, states can create and manage reactive streams to broadcast changes efficiently. They are designed to simplify state propagation and synchronization across stores or features, ensuring consistency. States can also integrate seamlessly with other reactive sources like emitters, states, and observables.

  1. Groups

Groups are collections of emitters, states, and other groups that are unified under a specific feature. They help organize related reactive sources into a cohesive structure, ensuring proper initialization and completion of all items as a single unit.

  1. Data Sources

Data sources act as facades for specific parts of data in external storages like local storage, session storage, cookies, and more. They implement a unified interface called DataSource, which simplifies integration with various storage mechanisms. This interface also enables states to seamlessly connect to external storages, ensuring that state remains synchronized with them.

Key Features

  1. Integration with RxJS
    Since @bitfiber/rx is built on top of RxJS, it integrates smoothly with the RxJS ecosystem. Emitters and states can easily interact with observables and subjects, and can also create effects using RxJS operators.

  2. Stream Connections
    Easily connects multiple emitters, states, and observables to each other.

  3. Readable Code Structure
    Produces clear, traceable code, making connections between emitters, states, and observables easy to follow.

  4. Automatic Subscription Management
    Simplifies handling reactive streams, freeing you from managing manual subscriptions and completions.

  5. Synchronization with Data Sources
    States can synchronize with data sources like local storage, cookies, and other external data sources.

  6. Strict Typing
    The library leverages TypeScript to enforce strict typing, ensuring robust type checking at compile time. This reduces the likelihood of runtime errors and enhances code reliability. TypeScript’s powerful type inference also makes it easier to write cleaner, more maintainable code, providing developers with strong guarantees about the structure and behavior of their reactive components.

  7. Tree Shaking
    The modular design of @bitfiber/rx enables tree shaking, allowing developers to optimize bundle sizes by importing only the required functionalities. This eliminates unused code from the final build, leading to smaller, more efficient applications, which is particularly useful for performance-sensitive environments.