A performant state management library that automatically optimizes updates and integrates natively into frameworks like Preact and React.
Signals is a state management library that enables developers to manage application state with automatic performance optimizations. It solves the problem of complex state logic leading to slow updates by lazily evaluating signals and minimizing re-renders. The library integrates natively into frameworks like Preact and React, allowing direct access to state without extra boilerplate.
Frontend developers working with Preact or React who need a performant and intuitive state management solution for applications ranging from small to complex.
Developers choose Signals for its automatic update optimizations that keep apps fast without manual intervention, and its seamless integration that feels like a built-in framework feature, reducing the need for selectors or wrappers.
Manage state with style in every framework
Signals lazily evaluate and skip updates for unused signals, minimizing unnecessary re-renders without manual tuning, as emphasized in the README's automatic optimization feature.
Integrates directly into Preact and React without selectors or wrapper functions, making state access feel like a built-in primitive, per the framework-native integration goal.
Provides core functions like signal(), computed(), effect(), and batch() for precise state management, enabling complex business logic with minimal boilerplate.
Includes Show and For components along with hooks like useLiveSignal, simplifying common UI patterns and state handling, as detailed in the utility components section.
For React, a Babel transform or useSignals hook is required, adding setup complexity and potential build issues, as noted in the README's limitations section.
Some performance optimizations, such as attribute optimization, are marked experimental, which could lead to instability or breaking changes in future releases.
As a newer library, Signals lacks the extensive devtools, middleware, and community resources found in established alternatives like Redux or Zustand.
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