nanostores vs. redux
Side-by-side comparison · 9 metrics · 15 criteria
- Weekly Downloads
- 2.4M
- Stars
- 7.4K
- Gzip Size
- 2.0 kB
- License
- MIT
- Last Updated
- 3mo ago
- Open Issues
- 26
- Forks
- 151
- Unpacked Size
- 48.9 kB
- Dependencies
- 0
- Weekly Downloads
- 16.6M
- Stars
- 61.5K
- Gzip Size
- 1.4 kB
- License
- MIT
- Last Updated
- 2y ago
- Open Issues
- 43
- Forks
- 15.1K
- Unpacked Size
- 289.8 kB
- Dependencies
- 1
nanostores vs redux downloads — last 12 months
Criteria — nanostores vs redux
- Learning Curve
- nanostores ✓Very shallow, focuses on plain JavaScript primitives and reactivity.reduxSteeper, requires understanding core concepts like actions, reducers, and immutability.
- Core Philosophy
- nanostores ✓Focuses on atomic, minimal, and composable state primitives for ultra-small footprint.reduxEmphasizes predictable state management through a single source of truth and strict data flow.
- State Structure
- nanostoresCollection of small, independent 'atomic' stores for granular state slicing.redux ✓Typically a single, centralized store holding the entire application state.
- API Surface Area
- nanostores ✓Extremely small and focused API for creating and subscribing to stores.reduxBroader API surface including actions, reducers, dispatch, and selectors.
- Primary Audience
- nanostoresDevelopers prioritizing extreme performance, minimal bundle size, and granular state control.redux ✓Teams building large-scale applications requiring robust structure and predictable state evolution.
- State Granularity
- nanostores ✓Encourages ultra-fine-grained state, with each piece managed distinctly.reduxSupports both fine-grained and coarse-grained state management depending on application structure.
- Ecosystem Maturity
- nanostoresYounger and more focused ecosystem, growing in utility.redux ✓Vast, mature ecosystem with extensive community support and established patterns.
- TypeScript Support
- nanostoresStrong TypeScript support with predictable typing for atomic stores.reduxExcellent TypeScript support, especially with Redux Toolkit, offering robust type safety.
- Data Flow Mechanism
- nanostoresDirect mutation or subscription to individual stores; simpler updates.redux ✓Strict unidirectional data flow via actions, reducers, and dispatch for controlled state changes.
- Debugging Experience
- nanostoresSimpler debugging due to smaller state domains and direct store access.redux ✓Powerful debugging tools (e.g., Redux DevTools) for time-travel debugging and inspection.
- Integration Boilerplate
- nanostores ✓Minimal integration, often direct usage without extensive setup.reduxFrequently requires setup like a Provider for component tree subscription.
- Modularity and Tree-shaking
- nanostores ✓Highly modular due to atomic stores, leading to excellent tree-shaking benefits.reduxCore is tree-shakable, but larger application state may reduce its impact.
- Extensibility and Middleware
- nanostoresLess opinionated, relies on direct integration or custom solutions for advanced patterns.redux ✓Rich middleware ecosystem (e.g., Thunk, Saga) for handling side effects and complex logic.
- Framework Agnosticism (Core)
- nanostores ✓Designed to be framework-agnostic at its core, easily adaptable.reduxCore is framework-agnostic but commonly used with frameworks via bindings.
- State Immutability Enforcement
- nanostoresDoes not strictly enforce immutability by default, allowing direct updates but encouraging patterns.redux ✓Strongly encourages or enforces immutability through reducers for predictable state changes.
| Criteria | nanostores | redux |
|---|---|---|
| Learning Curve | ✓ Very shallow, focuses on plain JavaScript primitives and reactivity. | Steeper, requires understanding core concepts like actions, reducers, and immutability. |
| Core Philosophy | ✓ Focuses on atomic, minimal, and composable state primitives for ultra-small footprint. | Emphasizes predictable state management through a single source of truth and strict data flow. |
| State Structure | Collection of small, independent 'atomic' stores for granular state slicing. | ✓ Typically a single, centralized store holding the entire application state. |
| API Surface Area | ✓ Extremely small and focused API for creating and subscribing to stores. | Broader API surface including actions, reducers, dispatch, and selectors. |
| Primary Audience | Developers prioritizing extreme performance, minimal bundle size, and granular state control. | ✓ Teams building large-scale applications requiring robust structure and predictable state evolution. |
| State Granularity | ✓ Encourages ultra-fine-grained state, with each piece managed distinctly. | Supports both fine-grained and coarse-grained state management depending on application structure. |
| Ecosystem Maturity | Younger and more focused ecosystem, growing in utility. | ✓ Vast, mature ecosystem with extensive community support and established patterns. |
| TypeScript Support | Strong TypeScript support with predictable typing for atomic stores. | Excellent TypeScript support, especially with Redux Toolkit, offering robust type safety. |
| Data Flow Mechanism | Direct mutation or subscription to individual stores; simpler updates. | ✓ Strict unidirectional data flow via actions, reducers, and dispatch for controlled state changes. |
| Debugging Experience | Simpler debugging due to smaller state domains and direct store access. | ✓ Powerful debugging tools (e.g., Redux DevTools) for time-travel debugging and inspection. |
| Integration Boilerplate | ✓ Minimal integration, often direct usage without extensive setup. | Frequently requires setup like a Provider for component tree subscription. |
| Modularity and Tree-shaking | ✓ Highly modular due to atomic stores, leading to excellent tree-shaking benefits. | Core is tree-shakable, but larger application state may reduce its impact. |
| Extensibility and Middleware | Less opinionated, relies on direct integration or custom solutions for advanced patterns. | ✓ Rich middleware ecosystem (e.g., Thunk, Saga) for handling side effects and complex logic. |
| Framework Agnosticism (Core) | ✓ Designed to be framework-agnostic at its core, easily adaptable. | Core is framework-agnostic but commonly used with frameworks via bindings. |
| State Immutability Enforcement | Does not strictly enforce immutability by default, allowing direct updates but encouraging patterns. | ✓ Strongly encourages or enforces immutability through reducers for predictable state changes. |
Nanostores excels as an ultra-minimalist state management solution, prioritizing a tiny footprint and a highly composable, atomic approach. Its core philosophy revolves around providing a simple, unopinionated foundation for managing state in web applications, making it ideal for developers who want granular control and minimal overhead. The primary audience for nanostores includes those building performance-critical applications, micro-frontends, or projects where bundle size is a paramount concern, particularly within the React, Preact, Vue, and Svelte ecosystems.
Redux, on the other hand, offers a mature and battle-tested architectural pattern for predictable state management across JavaScript applications. Its philosophy centers on a single source of truth, immutability, and a strict unidirectional data flow, which aids in debugging and reasoning about complex application states. Redux is best suited for large-scale applications, complex state logic, and teams that benefit from a standardized way of handling state changes, providing a robust structure for maintainability.
A key architectural difference lies in their core primitives. Nanostores utilizes a system of small, interconnected "atomic" stores, allowing developers to import and use only the state slices they need, promoting effective tree-shaking. This contrasts with Redux's more centralized approach where a single store often holds the entire application state, managed through reducers and actions, which can be more verbose for simple state updates.
Further technical divergence is seen in their integration patterns. Nanostores offers direct integration with various frontend frameworks without requiring extensive boilerplate or special context providers for basic usage. Redux, while also integrating well, commonly relies on higher-order components or hooks (like `react-redux`) and often involves setting up a provider which wraps the entire application, establishing a clear boundary for state management.
Developer experience with nanostores is characterized by its simplicity and minimal learning curve, especially for developers familiar with atomic state patterns. Its small API surface and lack of complex concepts make it easy to pick up and integrate quickly. Redux, while powerful, typically involves a steeper learning curve due to its core concepts like reducers, actions, dispatch, and the potential need to understand middlewares for asynchronous operations, though its extensive tooling and documentation mitigate this over time.
Regarding performance and bundle size, nanostores has a significant advantage due to its extremely small core size of 2.0 kB (gzipped). This minimal footprint is a major selling point for performance-sensitive applications. Redux, while also efficiently bundled at approximately 1.4 kB (gzipped), is part of a larger ecosystem that can increase overall bundle size depending on usage and middleware. However, the core size difference is negligible in most modern applications, but nanostores' modularity can offer better long-term gzipping benefits when only specific stores are imported.
Practically, nanostores is an excellent choice for new projects prioritizing speed, minimal dependencies, and straightforward state needs, or for adding state management to smaller components. For instance, if you're building a simple UI component library or a feature-rich single-page application where every kilobyte counts, nanostores offers an immediate performance gain. Redux is the pragmatic choice for large, complex applications with a substantial amount of shared state and intricate state update logic, especially where maintainability and predictability across a large codebase are critical.
The ecosystem surrounding Redux is vast, with a rich history and a multitude of established patterns and middleware solutions (like Redux Toolkit, Redux Saga, Redux Thunk) that provide powerful extensions for complex asynchronous logic and side effects. Nanostores, while growing, offers a more focused utility and may require developers to implement certain patterns themselves or integrate with other libraries for more advanced functionalities, promoting a less opinionated and more flexible integration approach.
Considering edge cases, nanostores' atomic nature makes it exceptionally well-suited for managing discrete, independent pieces of state, such as UI toggles, form inputs, or feature flags, without the overhead of defining actions and reducers for each. Redux's strength in handling complex, interdependent state updates through its centralized reducer pattern is invaluable for scenarios involving intricate data flows, caching mechanisms, or offline synchronization, where maintaining a consistent application state is paramount.
CORRECTIONS
Spot wrong data here?Spot wrong data on this page?
A short note helps us fix it.A short note helps us fix it. We read every one; confirmed fixes ship in the next nightly build.
Anonymous · No account · No email back