jotai vs. nanostores
Side-by-side comparison · 9 metrics · 16 criteria
- Weekly Downloads
- 4.7M
- Stars
- 21.2K
- Gzip Size
- 7.2 kB
- License
- MIT
- Last Updated
- 5mo ago
- Open Issues
- 4
- Forks
- 725
- Unpacked Size
- 541.1 kB
- Dependencies
- 2
- Weekly Downloads
- 6.1M
- Stars
- 7.5K
- Gzip Size
- 2.2 kB
- License
- MIT
- Last Updated
- 5mo ago
- Open Issues
- 21
- Forks
- 159
- Unpacked Size
- 51.0 kB
- Dependencies
- 1
jotai vs nanostores downloads — last 12 months
Criteria — jotai vs nanostores
- API Design
- jotaiAtom-based with functional composition and hooks.nanostoresSimple, distinct store types with a minimal API surface.
- Dependencies
- jotaiMinimal, focused on React.nanostores ✓Zero dependencies, framework-agnostic.
- Extensibility
- jotai ✓Rich utilities for derived state and async operations within core/companions.nanostoresRelies on simple subscription and application structure for custom solutions.
- Unpacked Size
- jotaiConsiderably larger at 541.1 kB.nanostores ✓Remarkably small at 51.0 kB.
- Learning Curve
- jotaiGentle, especially for React hook users.nanostores ✓Extremely shallow due to minimal API.
- Core Philosophy
- jotaiFocuses on primitive, composeable atoms for flexible state management.nanostoresEmphasizes extreme minimalism and framework agnosticism for tiny state management.
- Primary Audience
- jotaiReact developers valuing functional programming and granular control.nanostoresDevelopers prioritizing minimal bundle size and cross-framework compatibility.
- Reactivity Model
- jotaiFine-grained subscriptions based on atom dependencies.nanostoresSimple subscription mechanism to atomic stores.
- Framework Support
- jotaiPrimarily React-focused.nanostores ✓Supports React, Preact, Vue, and Svelte.
- Active Development
- jotaiActively maintained with recent updates.nanostoresActively maintained with recent updates.
- Bundle Size (gzip)
- jotaiLightweight at 7.2 kB.nanostores ✓Extremely minimal at 2.2 kB.
- TypeScript Support
- jotaiExcellent, with robust type inference for atoms.nanostoresSolid, leveraging TypeScript for its simple store definitions.
- Project Scalability
- jotaiWell-suited for complex React applications with intricate state interactions.nanostoresExcellent for microservices, widgets, and performance-critical apps.
- Community & Adoption
- jotai ✓Larger community and more established presence in React.nanostoresSmaller but growing, with significant interest in its efficiency.
- Debugging Experience
- jotaiPredictable due to localized state and clear dependencies.nanostoresStraightforward due to minimal abstraction and direct stores.
- Ecosystem Integration (React)
- jotai ✓Deeply integrated with React hooks and concurrency.nanostoresCompatible with React but not inherently tied to its paradigms.
| Criteria | jotai | nanostores |
|---|---|---|
| API Design | Atom-based with functional composition and hooks. | Simple, distinct store types with a minimal API surface. |
| Dependencies | Minimal, focused on React. | ✓ Zero dependencies, framework-agnostic. |
| Extensibility | ✓ Rich utilities for derived state and async operations within core/companions. | Relies on simple subscription and application structure for custom solutions. |
| Unpacked Size | Considerably larger at 541.1 kB. | ✓ Remarkably small at 51.0 kB. |
| Learning Curve | Gentle, especially for React hook users. | ✓ Extremely shallow due to minimal API. |
| Core Philosophy | Focuses on primitive, composeable atoms for flexible state management. | Emphasizes extreme minimalism and framework agnosticism for tiny state management. |
| Primary Audience | React developers valuing functional programming and granular control. | Developers prioritizing minimal bundle size and cross-framework compatibility. |
| Reactivity Model | Fine-grained subscriptions based on atom dependencies. | Simple subscription mechanism to atomic stores. |
| Framework Support | Primarily React-focused. | ✓ Supports React, Preact, Vue, and Svelte. |
| Active Development | Actively maintained with recent updates. | Actively maintained with recent updates. |
| Bundle Size (gzip) | Lightweight at 7.2 kB. | ✓ Extremely minimal at 2.2 kB. |
| TypeScript Support | Excellent, with robust type inference for atoms. | Solid, leveraging TypeScript for its simple store definitions. |
| Project Scalability | Well-suited for complex React applications with intricate state interactions. | Excellent for microservices, widgets, and performance-critical apps. |
| Community & Adoption | ✓ Larger community and more established presence in React. | Smaller but growing, with significant interest in its efficiency. |
| Debugging Experience | Predictable due to localized state and clear dependencies. | Straightforward due to minimal abstraction and direct stores. |
| Ecosystem Integration (React) | ✓ Deeply integrated with React hooks and concurrency. | Compatible with React but not inherently tied to its paradigms. |
Jotai champions a primitive, atomic approach to state management, drawing inspiration from Recoil but offering a more minimalist API and smaller bundle size. Its core philosophy centers on providing building blocks that developers can compose into flexible and powerful state solutions, making it particularly appealing for React developers who appreciate a functional programming paradigm and a high degree of control over their state logic. The emphasis is on managing individual pieces of state, or atoms, which can be combined and derived with ease.
Nanostores, on the other hand, positions itself as an extremely tiny, framework-agnostic state manager designed for maximum tree-shakability. Its primary strength lies in its minimal footprint and broad compatibility, supporting React, Preact, Vue, and Svelte. This makes it an excellent choice for projects where bundle size is a critical concern, or for monorepos that utilize multiple frontend frameworks. The focus is on providing a few simple, atomic stores that can be easily adopted without adding significant overhead to the application.
A key architectural difference lies in their API design and extensibility. Jotai's API is built around the concept of atoms, which are plain JavaScript values or derived values computed from other atoms. This atomic model allows for fine-grained subscriptions and efficient re-renders. Nanostores offers a few distinct store types, such as `atom` and `map`, providing a slightly more opinionated but still very flexible structure for organizing state. While both are atomic, Jotai's approach feels more like composing individual pieces, whereas Nanostores offers more structured container types.
Regarding extensibility and the plugin model, Jotai integrates seamlessly into the React ecosystem with hooks and offers utilities for more complex patterns like derived state and asynchronous operations directly within its core API or through companion packages. Nanostores, while also flexible, relies on a simpler subscription model and a smaller core. Its extensibility often comes from how you structure your application and subscribe to its stores, rather than a rich, built-in plugin architecture for advanced state patterns like complex caching or data fetching transformations, though its simplicity allows for easy custom solutions.
Developer experience with Jotai is generally positive, especially for those familiar with React's hook-based API. Its integration with React's concurrent features and its straightforward atom definition contribute to a good debugging experience, as state changes are localized and predictable. Nanostores, due to its extreme simplicity and small API surface, boasts a very shallow learning curve. This makes it incredibly easy to pick up and integrate into a project quickly. Debugging is also straightforward due to the direct nature of its stores and the minimal abstraction.
Performance and bundle size are significant differentiators. Nanostores truly excels here, with a minuscule bundle size of just 2.2 kB (gzipped), making it one of the smallest state management solutions available. Jotai, while still very performant and lightweight at 7.2 kB (gzipped), is considerably larger than Nanostores. For applications where every kilobyte counts, particularly in performance-sensitive environments or on networks with limited bandwidth, Nanostores offers a compelling advantage. This size difference is reflected in its unpacked size as well.
In practice, choose Jotai when you are building a React-specific application and want a flexible, atomic state management library that integrates deeply with React's paradigms, especially if you envision complex derived states or need fine-grained control over subscriptions. It's well-suited for mid-to-large scale React applications where performance is important, but not at the absolute extreme. Nanostores is the go-to choice when minimizing bundle size is paramount, or when you need a state manager that can seamlessly work across different frontend frameworks like React, Preact, Vue, or Svelte. Its simplicity makes it ideal for smaller projects, rapidly prototyping, or anywhere dev speed and minimal overhead are prioritized.
Long-term maintenance and ecosystem considerations show Jotai as a more established player within the React ecosystem, with a larger community and more GitHub stars, indicating broader adoption and potentially more community-driven support and a wider array of third-party integrations over time. Nanostores, while newer and smaller in community metrics, benefits from its framework agnosticism, which could lead to broader adoption across different project types and teams. Its simplicity also implies a potentially lower maintenance burden for the core library itself, focusing on stability.
For edge cases and niche use, Jotai's primitive nature makes it adaptable to many scenarios, including complex forms, animations that require reactive state, and highly interactive UIs where precise state updates are critical. Its ability to combine atoms into intricate dependency graphs can handle sophisticated state synchronization needs. Nanostores, because of its framework-agnostic and fundamentally simple design, is perfect for utility libraries, web components, or embedded widgets where a small, reliable state solution is required without imposing framework-specific dependencies. Its low barrier to entry also makes it suitable for educational purposes or quick scripting needs.
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