jotai vs. nanostores
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 6.4M
- Stars
- 21.3K
- Gzip Size
- 6.6 kB
- License
- MIT
- Last Updated
- 7mo ago
- Open Issues
- 1
- Forks
- 724
- Unpacked Size
- 112.8 kB
- Dependencies
- 2
- Weekly Downloads
- 10.7M
- Stars
- 7.6K
- Gzip Size
- 2.4 kB
- License
- MIT
- Last Updated
- 7mo ago
- Open Issues
- 23
- Forks
- 162
- Unpacked Size
- 54.5 kB
- Dependencies
- 1
jotai vs nanostores downloads · last 12 months
Criteria · jotai vs nanostores
- API Design
- jotaiHook-based API, feeling natural and idiomatic within React.nanostoresSimple, event-driven API for stores, easily adaptable across frameworks.
- Bundle Size
- jotaiApproximately 6.6 kB (gzipped), efficient for React applications.nanostores ✓Approximately 2.4 kB (gzipped), exceptionally lightweight.
- Dependencies
- jotaiDesigned specifically for React, likely has React as a peer dependency.nanostores ✓Framework-agnostic, aiming for zero or minimal external dependencies.
- Codebase Size
- jotaiLarger unpacked size (112.8 kB) compared to Nanostores.nanostores ✓Significantly smaller unpacked size (54.5 kB), emphasizing minimalism.
- Extensibility
- jotaiOffers utilities and integrations like jotai/utils for common patterns.nanostoresAchieves extensibility via its simple event-emitting nature and middleware support.
- Learning Curve
- jotai ✓Generally straightforward for existing React developers due to hook parallels.nanostoresSimple core mechanics, but might require a slight mental shift for hook-centric developers.
- Core Philosophy
- jotaiFocuses on primitive, atomic state management deeply integrated with React.nanostoresEmphasizes extreme minimalism and broad framework compatibility with atomic stores.
- Project Maturity
- jotai ✓Very low open issue count suggests high stability and maturity.nanostoresSlightly higher issue count, potentially indicating active development or broader use cases.
- Reactivity Model
- jotaiLeverages React's context and hooks for granular updates and subscriptions.nanostoresUtilizes a framework-agnostic observer pattern with event emission.
- State Derivation
- jotaiProvides strong utilities for creating derived state within the React hook paradigm.nanostoresSupports derived state through plain JavaScript functions and subscriptions.
- Performance Focus
- jotaiOptimized for React's rendering, with fine-grained updates.nanostores ✓Prioritizes minimal overhead and fast updates due to its tiny footprint.
- TypeScript Support
- jotaiRobust TypeScript support providing type safety for atomic state.nanostoresStrong TypeScript integration for its minimalist store design.
- Community Engagement
- jotai ✓Higher GitHub stars and forks, indicating significant community traction.nanostoresStrong community interest with a substantial number of stars and forks.
- Framework Agnosticism
- jotaiPrimarily focused on and optimized for React.nanostores ✓Designed to work with React, Preact, Vue, Svelte, and vanilla JS.
| Criteria | jotai | nanostores |
|---|---|---|
| API Design | Hook-based API, feeling natural and idiomatic within React. | Simple, event-driven API for stores, easily adaptable across frameworks. |
| Bundle Size | Approximately 6.6 kB (gzipped), efficient for React applications. | ✓ Approximately 2.4 kB (gzipped), exceptionally lightweight. |
| Dependencies | Designed specifically for React, likely has React as a peer dependency. | ✓ Framework-agnostic, aiming for zero or minimal external dependencies. |
| Codebase Size | Larger unpacked size (112.8 kB) compared to Nanostores. | ✓ Significantly smaller unpacked size (54.5 kB), emphasizing minimalism. |
| Extensibility | Offers utilities and integrations like jotai/utils for common patterns. | Achieves extensibility via its simple event-emitting nature and middleware support. |
| Learning Curve | ✓ Generally straightforward for existing React developers due to hook parallels. | Simple core mechanics, but might require a slight mental shift for hook-centric developers. |
| Core Philosophy | Focuses on primitive, atomic state management deeply integrated with React. | Emphasizes extreme minimalism and broad framework compatibility with atomic stores. |
| Project Maturity | ✓ Very low open issue count suggests high stability and maturity. | Slightly higher issue count, potentially indicating active development or broader use cases. |
| Reactivity Model | Leverages React's context and hooks for granular updates and subscriptions. | Utilizes a framework-agnostic observer pattern with event emission. |
| State Derivation | Provides strong utilities for creating derived state within the React hook paradigm. | Supports derived state through plain JavaScript functions and subscriptions. |
| Performance Focus | Optimized for React's rendering, with fine-grained updates. | ✓ Prioritizes minimal overhead and fast updates due to its tiny footprint. |
| TypeScript Support | Robust TypeScript support providing type safety for atomic state. | Strong TypeScript integration for its minimalist store design. |
| Community Engagement | ✓ Higher GitHub stars and forks, indicating significant community traction. | Strong community interest with a substantial number of stars and forks. |
| Framework Agnosticism | Primarily focused on and optimized for React. | ✓ Designed to work with React, Preact, Vue, Svelte, and vanilla JS. |
Jotai excels as a primitive and flexible state management library, offering a fine-grained approach that deeply integrates with React's rendering model. Its core philosophy revolves around atomic state, allowing developers to create small, isolated pieces of state that are updated independently. This makes it particularly well-suited for applications where granular control over state updates and re-renders is crucial, appealing to developers who prefer a more declarative and composable way to manage complex application state within the React ecosystem.
Nanostores, on the other hand, champions extreme minimalism and broad framework compatibility, aiming to be a tiny, yet powerful, state manager. Its core philosophy is built around extremely small, atomic stores that are easily tree-shakable, ensuring minimal bundle size impact. This makes it an excellent choice for projects prioritizing performance and a small footprint, especially in multi-framework environments or when integrating into existing applications where adding significant overhead is undesirable.
A key architectural difference lies in their approach to state updates and subscriptions. Jotai leverages React's context and hooks to manage state, providing an API that feels very native to React. It offers utilities for derived state and asynchronous operations that are idiomatic to the React hook pattern. Nanostores employs a more framework-agnostic observer pattern, where stores emit events that any attached listener can react to, allowing for decoupled state management that can be easily integrated into various UI libraries or vanilla JavaScript.
Another significant technical difference is their extensibility and plugin model. Jotai has a growing ecosystem of utilities and integrations, such as jotai/utils, that provide common patterns like persistence, debouncing, and throttling. This allows developers to extend Jotai's core functionality with specialized tools. Nanostores, while minimalist, achieves extensibility through its simple event-emitting nature, allowing developers to build custom middleware or wrappers that can intercept or augment store behavior, offering flexibility without a large, pre-defined plugin API.
In terms of developer experience, Jotai offers a smooth onboarding for React developers due to its hook-based API, which closely mirrors familiar React patterns. Its TypeScript support is robust, providing type safety for atomic states. Nanostores, while also supporting TypeScript well, might present a slightly different mental model for developers accustomed to hook-based state management, as its event-driven nature is more general-purpose. However, its simplicity can lead to a quicker understanding of its core mechanics.
Performance and bundle size are where Nanostores truly shines. With a gzipped bundle size of a mere 2.4 kB and an unpacked size of 54.5 kB, it is exceptionally lightweight. Jotai, while still performant and offering a competitive 6.6 kB gzipped bundle size and 112.8 kB unpacked size, is considerably larger. For applications where every kilobyte counts, such as progressive web apps or performance-critical frontends, Nanostores offers a clear advantage.
Practically, you would pick Jotai for new, React-centric applications that require fine-grained state management and benefit from its deep integration with React's rendering. Consider Jotai when you want an API that feels like a natural extension of React's hook system and when you anticipate needing complex derived state logic. Choose Nanostores for projects where minimizing bundle size is paramount, when working with multiple frameworks, or when you need a highly decoupled state solution that can be easily integrated into diverse environments.
Both libraries are actively maintained, as indicated by their recent update dates. Jotai's very low open issue count (1) suggests a stable and mature project, while Nanostores' slightly higher count (23) might indicate more ongoing development or a broader surface area for potential issues. However, both have a significant number of GitHub stars and forks, indicating a healthy level of community interest and adoption, though Jotai currently leads in these community engagement metrics.
For niche use cases, Nanostores' extreme portability and minimal size make it an excellent candidate for integration into Web Components, vanilla JavaScript applications, or server-side rendering scenarios where minimizing client-side JavaScript is a priority. Jotai's strength lies in managing complex local component state or application-wide state within the React paradigm, offering developers a powerful tool for building sophisticated React UIs without the boilerplate often associated with other state management solutions.
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