recoil vs. valtio
Side-by-side comparison · 9 metrics · 16 criteria
- Weekly Downloads
- 233.6K
- Stars
- 19.5K
- Size
- 29.5 kB (Gzip Size)
- License
- MIT
- Last Updated
- 2y ago
- Open Issues
- 320
- Forks
- 1.2K
- Unpacked Size
- 2.2 MB
- Dependencies
- 3
- Weekly Downloads
- 956.9K
- Stars
- 10.2K
- Size
- 169.2 kB (Install Size)
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 5
- Forks
- 282
- Unpacked Size
- 101.3 kB
- Dependencies
- —
recoil vs valtio downloads — last 12 months
Criteria — recoil vs valtio
- Learning Curve
- recoilModerate to steep due to its unique graph and selector concepts.valtio ✓Shallow, leveraging familiar JavaScript object manipulation patterns.
- Core Abstraction
- recoilAtoms for base state, selectors for computed state, forming a dependency graph.valtioPlain JavaScript objects and arrays proxied for automatic reactivity.
- Reactivity Model
- recoilGraph-based with atoms and selectors for derived state and memoization.valtioProxy-based mutation with automatic change tracking and subscription.
- React Integration
- recoilDesigned specifically for React, with deep integration and concurrent mode support.valtio ✓Works with React but also framework-agnostic due to its core proxy mechanism.
- SSR Compatibility
- recoilSupports Server-Side Rendering and hydration.valtioSupports Server-Side Rendering and hydration.
- State Granularity
- recoilFine-grained state management via individual atoms.valtioState is managed as standard JavaScript objects, can be granular or coarse depending on usage.
- TypeScript Support
- recoilRobust TypeScript support for atoms, selectors, and hooks.valtioExcellent TypeScript support, enabling type-safe mutations on proxied objects.
- Bundle Size Footprint
- recoilModerate, at 29.5 kB gzipped.valtio ✓Extremely small, at 5.8 kB gzipped.
- Dependency Management
- recoilRelies on a curated graph structure for state dependencies.valtioDerived from JavaScript's underlying object and array structures via proxies.
- Derived Data Handling
- recoil ✓Selectors provide powerful memoization and efficient computation of derived state.valtioDerived data is computed on-the-fly when accessed, potentially less optimized for complex cases.
- Framework Agnosticism
- recoilPrimarily designed for and React-centric.valtio ✓Core is framework-agnostic, with React integration as one option.
- State Update Philosophy
- recoilDeclarative, event-driven updates triggered by selectors and atoms.valtioImperative mutation of state objects, implicitly reactive.
- Use Case - Complex State Graphs
- recoil ✓Ideal for managing intricate, interconnected state with memoized computations.valtioCan handle complex state but might require more manual optimization.
- Developer Experience - Debugging
- recoilClear state dependencies can aid debugging complex interactions.valtioDebugging can be straightforward with familiar object inspection, aided by devtools.
- Use Case - Lightweight Solutions
- recoilLess suited for extremely performance-sensitive or minimal bundle scenarios.valtio ✓Highly suitable for projects requiring minimal overhead and fast initial load.
- Developer Experience - Simplicity
- recoilCan require understanding of graph concepts for complex state.valtio ✓Offers immediate simplicity through direct object mutation.
| Criteria | recoil | valtio |
|---|---|---|
| Learning Curve | Moderate to steep due to its unique graph and selector concepts. | ✓ Shallow, leveraging familiar JavaScript object manipulation patterns. |
| Core Abstraction | Atoms for base state, selectors for computed state, forming a dependency graph. | Plain JavaScript objects and arrays proxied for automatic reactivity. |
| Reactivity Model | Graph-based with atoms and selectors for derived state and memoization. | Proxy-based mutation with automatic change tracking and subscription. |
| React Integration | Designed specifically for React, with deep integration and concurrent mode support. | ✓ Works with React but also framework-agnostic due to its core proxy mechanism. |
| SSR Compatibility | Supports Server-Side Rendering and hydration. | Supports Server-Side Rendering and hydration. |
| State Granularity | Fine-grained state management via individual atoms. | State is managed as standard JavaScript objects, can be granular or coarse depending on usage. |
| TypeScript Support | Robust TypeScript support for atoms, selectors, and hooks. | Excellent TypeScript support, enabling type-safe mutations on proxied objects. |
| Bundle Size Footprint | Moderate, at 29.5 kB gzipped. | ✓ Extremely small, at 5.8 kB gzipped. |
| Dependency Management | Relies on a curated graph structure for state dependencies. | Derived from JavaScript's underlying object and array structures via proxies. |
| Derived Data Handling | ✓ Selectors provide powerful memoization and efficient computation of derived state. | Derived data is computed on-the-fly when accessed, potentially less optimized for complex cases. |
| Framework Agnosticism | Primarily designed for and React-centric. | ✓ Core is framework-agnostic, with React integration as one option. |
| State Update Philosophy | Declarative, event-driven updates triggered by selectors and atoms. | Imperative mutation of state objects, implicitly reactive. |
| Use Case - Complex State Graphs | ✓ Ideal for managing intricate, interconnected state with memoized computations. | Can handle complex state but might require more manual optimization. |
| Developer Experience - Debugging | Clear state dependencies can aid debugging complex interactions. | Debugging can be straightforward with familiar object inspection, aided by devtools. |
| Use Case - Lightweight Solutions | Less suited for extremely performance-sensitive or minimal bundle scenarios. | ✓ Highly suitable for projects requiring minimal overhead and fast initial load. |
| Developer Experience - Simplicity | Can require understanding of graph concepts for complex state. | ✓ Offers immediate simplicity through direct object mutation. |
Recoil offers a distinct approach to state management in React, designed around the concept of atoms and selectors. Atoms represent individual pieces of state, while selectors compute derived state based on atoms. This model is particularly well-suited for applications that can benefit from a fine-grained, graph-based approach to state, where derived data and memoization are crucial for performance. Its primary audience includes React developers who are comfortable with this declarative paradigm and seek a robust solution for complex state dependencies.
Valtio, on the other hand, champions a simpler, more intuitive state management model using JavaScript's built-in proxy capabilities. It allows developers to manage state by directly mutating objects, which are then automatically tracked for changes. This proxy-based system significantly lowers the barrier to entry, making it an excellent choice for developers who prefer a more direct and less boilerplate-heavy state management experience, especially for smaller to medium-sized applications or teams transitioning from simpler state patterns.
A key architectural difference lies in their core mechanism for handling state updates. Recoil utilizes a graph of atoms and selectors, where updates trigger re-renders based on subscriptions to relevant nodes in this graph. This is highly optimized for isolating updates and memoizing computations. Valtio, leveraging Proxies, modifies state directly and relies on a reactive subscription system to notify components of changes, offering a more imperative feel while maintaining declarative reactivity.
Another technical distinction emerges in how they integrate with React. Recoil is deeply integrated with React's concurrent features, offering hooks like `useRecoilState` and `useRecoilValue` that work seamlessly within the React ecosystem. Valtio's approach is more flexible; while it provides hooks for React integration (`useSnapshot`), its core proxy mechanism can also be used independently of React, making it adaptable to vanilla JavaScript or other frameworks with minimal friction.
Regarding developer experience, Recoil's graph-based model might present a slightly steeper learning curve for newcomers due to its unique terminology and conceptualization. However, its explicit declaration of state dependencies can lead to clearer debugging for complex state interactions. Valtio's direct mutation and proxy-based system generally result in a more immediate and familiar developer experience, particularly for those accustomed to object manipulation, with excellent TypeScript support enabling type-safe mutations.
Performance and bundle size are areas where valtio significantly leads. Its exceptionally small bundle size, just 5.8 kB gzipped, and minimal unpacked size mean a negligible impact on application load times. Recoil, while still reasonably performant, has a larger footprint at 29.5 kB gzipped. For projects where every kilobyte counts, such as mobile-first applications or performance-critical web experiences, valtio's lean nature is a considerable advantage.
Practically, recoil is an excellent choice when you have a complex web of interconnected state where derived data and memoization are paramount, and you want to leverage React's concurrent rendering features effectively. Consider it for large-scale applications with intricate data flows. Valtio is recommended for its simplicity and flexibility, making it ideal for rapid development, projects where a lightweight solution is desired, or when integrating state management into existing applications with minimal disruption.
The ecosystem around a state management library can be a deciding factor. Recoil, being a more established React-specific solution, benefits from a robust community and a wealth of examples and integrations tailored for React. Valtio, while also growing rapidly, offers a broader potential application scope due to its framework-agnostic core. Its reliance on standard JavaScript Proxies means it avoids deep framework coupling, potentially simplifying long-term maintenance and reducing vendor lock-in.
In niche scenarios, recoil's graph traversal and atom/selector pattern can be used to implement sophisticated features like undo/redo stacks or complex form state management with performance optimizations. Valtio's inherent mutability and proxy nature make it exceptionally well-suited for real-time applications, collaborative editing tools, or scenarios where data structures are dynamic and nested deeply. Its simplicity also makes it a strong contender for progressive adoption within larger codebases.
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