A JavaScript & TypeScript persistent and optionally immutable data tree with cursors for managing application state.
Baobab is a JavaScript and TypeScript library that provides a persistent and optionally immutable data tree for managing application state. It uses cursors to enable fine-grained access and observation of nested data, with event-driven updates that help keep UI components in sync. The library is designed to centralize state management, making it easier to implement features like undo/redo and state serialization.
Frontend developers building complex applications with React or other UI libraries who need a predictable, immutable state container with granular update control.
Developers choose Baobab for its combination of persistent data structures, cursor-based state observation, and seamless React integration, offering a functional approach to state management that simplifies debugging and enables advanced features like time-travel debugging.
JavaScript & TypeScript persistent and optionally immutable data tree with cursors.
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Uses Object.freeze to enforce immutability, ensuring predictable state changes and easy comparisons for UI optimizations like React's pure rendering.
Cursors allow selective listening to nested data paths, firing update events only for relevant changes to minimize unnecessary re-renders.
Dynamic nodes automatically compute derived state from dependencies, simplifying shared logic without manual subscription management.
Integrated cursor state recording enables straightforward undo/redo functionality with configurable history limits, reducing boilerplate.
Updates are batched asynchronously by default, complicating scenarios like form handling that require immediate feedback and forcing manual commits or option tweaks.
Compared to Redux or MobX, Baobab has fewer community resources, third-party integrations, and devtools, making adoption and troubleshooting harder for larger teams.
Immutability via Object.freeze can slow performance in production, and disabling it sacrifices safety for speed, adding configuration complexity.