nanostores vs. valtio
Side-by-side comparison · 9 metrics · 16 criteria
- Weekly Downloads
- 2.4M
- Stars
- 7.4K
- Size
- 2.0 kB (Gzip Size)
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 26
- Forks
- 151
- Unpacked Size
- 48.9 kB
- Dependencies
- 0
- 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
- —
nanostores vs valtio downloads — last 12 months
Criteria — nanostores vs valtio
- API Design
- nanostoresExplicit API for creating, accessing, and updating small, focused stores.valtio ✓Implicit reactivity on plain JavaScript objects, feeling more mutable.
- Learning Curve
- nanostoresSlightly steeper due to explicit composition of atomic stores.valtio ✓Generally smoother, especially for developers familiar with object manipulation.
- Core Philosophy
- nanostores ✓Focuses on atomic, independent stores and extreme minimalism.valtioSimplifies state management through JavaScript proxies for a more intuitive API.
- Composition Style
- nanostores ✓Designed for composing many small, independent atomic stores.valtioManages state within single or nested object structures.
- Mutation Handling
- nanostoresImmutable updates; new store values are assigned.valtio ✓Proxied mutations feel object-like, with changes detected internally.
- State Granularity
- nanostores ✓Highly granular due to its atomic store design.valtioManages state via objects, with changes tracked deeply.
- TypeScript Support
- nanostoresRobust but requires careful manual typing for store values.valtio ✓Seamless integration with inferred types from proxies.
- Debugging Experience
- nanostoresExplicit store states can be easier to trace individually.valtioProxy mechanism requires understanding, but mutations are often visible.
- Dependency Footprint
- nanostores ✓Zero dependencies, contributing to its minimal size.valtioHas internal logic and dependencies for proxy functionality.
- Reactivity Mechanism
- nanostoresUses a publish-subscribe pattern with explicit store updates.valtio ✓Leverages JavaScript proxies to detect and manage state mutations.
- Framework Agnosticism
- nanostores ✓Designed to be framework-agnostic with adapters for major ones.valtioPrimarily targets React and Vanilla JS, with broader compatibility less emphasized.
- Initial Project Setup
- nanostoresRequires defining store structures explicitly, which can take time.valtio ✓Can be set up very quickly with minimal initial code.
- Bundle Size Efficiency
- nanostores ✓Exceptionally small footprint at 2.0 kB (gzip).valtioLean but larger at 5.8 kB (gzip) due to proxy implementation.
- Deeply Nested State Management
- nanostoresRequires explicit store setup for nested data.valtio ✓Handles deeply nested state transparently via proxies.
- Suitability for Micro-frontends
- nanostores ✓Excellent due to its small size and isolated store logic.valtioViable, but larger footprint might be a consideration.
- Performance Critical Applications
- nanostores ✓Ideal due to its minimal overhead and atomic nature.valtioGood, but nanostores offers superior performance for extreme cases.
| Criteria | nanostores | valtio |
|---|---|---|
| API Design | Explicit API for creating, accessing, and updating small, focused stores. | ✓ Implicit reactivity on plain JavaScript objects, feeling more mutable. |
| Learning Curve | Slightly steeper due to explicit composition of atomic stores. | ✓ Generally smoother, especially for developers familiar with object manipulation. |
| Core Philosophy | ✓ Focuses on atomic, independent stores and extreme minimalism. | Simplifies state management through JavaScript proxies for a more intuitive API. |
| Composition Style | ✓ Designed for composing many small, independent atomic stores. | Manages state within single or nested object structures. |
| Mutation Handling | Immutable updates; new store values are assigned. | ✓ Proxied mutations feel object-like, with changes detected internally. |
| State Granularity | ✓ Highly granular due to its atomic store design. | Manages state via objects, with changes tracked deeply. |
| TypeScript Support | Robust but requires careful manual typing for store values. | ✓ Seamless integration with inferred types from proxies. |
| Debugging Experience | Explicit store states can be easier to trace individually. | Proxy mechanism requires understanding, but mutations are often visible. |
| Dependency Footprint | ✓ Zero dependencies, contributing to its minimal size. | Has internal logic and dependencies for proxy functionality. |
| Reactivity Mechanism | Uses a publish-subscribe pattern with explicit store updates. | ✓ Leverages JavaScript proxies to detect and manage state mutations. |
| Framework Agnosticism | ✓ Designed to be framework-agnostic with adapters for major ones. | Primarily targets React and Vanilla JS, with broader compatibility less emphasized. |
| Initial Project Setup | Requires defining store structures explicitly, which can take time. | ✓ Can be set up very quickly with minimal initial code. |
| Bundle Size Efficiency | ✓ Exceptionally small footprint at 2.0 kB (gzip). | Lean but larger at 5.8 kB (gzip) due to proxy implementation. |
| Deeply Nested State Management | Requires explicit store setup for nested data. | ✓ Handles deeply nested state transparently via proxies. |
| Suitability for Micro-frontends | ✓ Excellent due to its small size and isolated store logic. | Viable, but larger footprint might be a consideration. |
| Performance Critical Applications | ✓ Ideal due to its minimal overhead and atomic nature. | Good, but nanostores offers superior performance for extreme cases. |
Nanostores is engineered for extreme minimalism and atomicity, making it an excellent choice for projects where every kilobyte counts and a highly granular state structure is desired. Its core philosophy revolves around small, independent stores that can be composed, appealing to developers who manage state for specific UI components or feature sets without wanting a large framework.
Valtio, on the other hand, excels at simplifying state management through JavaScript proxies, offering a more intuitive, object-oriented approach. It is designed for developers who prefer working with mutable-like state objects and want a straightforward way to integrate reactive state into their React or vanilla JavaScript applications without extensive boilerplate.
The fundamental difference lies in their reactivity models. Nanostores utilizes a publish-subscribe pattern with atomic updates, where individual store values change, and subscribers are notified. Each store is a distinct entity, preventing unintended side effects by isolating state changes.
Valtio's reactivity is built upon JavaScript proxies, allowing direct mutation of state objects which the proxy then intercepts to trigger re-renders or updates. This proxy mechanism enables changes to deeply nested properties transparently, offering a more natural programming model for many developers.
Developer experience with nanostores is characterized by its simplicity and explicit nature. While powerful and highly tree-shakable, setting up and connecting multiple stores might require a bit more explicit wiring compared to valtio. TypeScript support is robust, but the explicit nature requires careful type definition for store values.
Valtio generally offers a smoother developer experience out-of-the-box, especially for React developers familiar with object manipulation. Its proxy-based approach means less explicit subscription management, and TypeScript integration is seamless with its proxy-generated types. Debugging can be straightforward as state mutations are often directly visible, though understanding the proxy mechanism is key.
Regarding performance and bundle size, nanostores holds a significant advantage with its minuscule 2.0 kB gzipped bundle size and zero dependencies. This makes it an ideal candidate for performance-critical applications, libraries, or when building for environments where download size is a primary concern.
Valtio, while still lean, has a larger gzipped bundle size of 5.8 kB due to its proxy implementation and internal machinery. For most applications, this size difference is negligible, but in highly constrained environments, nanostores' footprint is considerably smaller, offering greater efficiency.
In practice, choose nanostores when building highly optimized applications, reusable UI components that need isolated state, or when integrating into existing projects that already have a strict performance budget. Its atomic nature makes it predictable and easy to reason about in complex state interactions.
Opt for valtio when you prioritize a developer experience that feels closer to standard JavaScript object manipulation, especially within React applications. Its ease of integration and near-mutability feel can significantly speed up development cycles for teams accustomed to such patterns, without sacrificing too much size.
An edge case where nanostores shines is in server-side rendering scenarios where granular control over hydration and state initialization is paramount. Its independent stores can be precisely managed on the server and client, ensuring consistent state.
Valtio's strength in edge cases lies in its ability to handle complex, deeply nested state structures with minimal code. Developers can create and manage intricate data models easily, benefiting from the proxy's ability to track changes anywhere within the object graph.
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