mobx vs. redux
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 3.2M
- Stars
- 28.2K
- Gzip Size
- 15.4 kB
- License
- MIT
- Last Updated
- 10mo ago
- Open Issues
- 66
- Forks
- 1.8K
- Unpacked Size
- 4.7 MB
- Dependencies
- 1
- Weekly Downloads
- 33.5M
- Stars
- 61.5K
- Gzip Size
- 1.4 kB
- License
- MIT
- Last Updated
- 2y ago
- Open Issues
- 49
- Forks
- 15.2K
- Unpacked Size
- 289.8 kB
- Dependencies
- 1
mobx vs redux downloads — last 12 months
Criteria — mobx vs redux
- Bundle Size
- mobxLarger bundle size compared to Redux.redux ✓Extremely small and lightweight bundle size.
- Learning Curve
- mobx ✓Generally considered easier to learn with less boilerplate.reduxSteeper learning curve due to core concepts like actions, reducers, and middleware.
- Predictability
- mobxReactivity can sometimes obscure the source of state changes.redux ✓High predictability due to explicit actions and pure reducers.
- State Structure
- mobxEncourages mutable observable objects and classes.redux ✓Mandates immutable state objects and pure functions.
- Boilerplate Code
- mobx ✓Requires minimal boilerplate for basic state management.reduxTypically involves more boilerplate due to action and reducer definitions.
- Reactivity Model
- mobxUses observable data and automatic reactions for state updates.reduxRelies on a unidirectional data flow with actions and reducers.
- Developer Tooling
- mobxOffers debugging tools focused on observable changes.redux ✓Features mature and comprehensive DevTools with time-travel debugging.
- Ecosystem Breadth
- mobxSolid ecosystem but less extensive middleware compared to Redux.redux ✓Vast ecosystem with a wide range of community-created middleware and tools.
- Scalability Focus
- mobxScales well, especially in apps valuing rapid prototyping.redux ✓Designed for large-scale applications with complex state needs.
- TypeScript Support
- mobxGood TypeScript support with clear examples and typings.redux ✓Excellent TypeScript support, with strong typings and integration.
- Data Flow Enforcement
- mobxMore flexible data flow, can allow direct mutation of observables.redux ✓Strictly enforces unidirectional data flow and predictable state transitions.
- Side Effect Management
- mobxSide effects are often handled within reactions or observed functions.redux ✓Primarily managed through middleware like Thunk or Saga.
- Initial Setup Complexity
- mobx ✓Simpler initial setup with less configuration.reduxRequires more initial setup for store, reducers, and middleware.
- Performance Characteristics
- mobxEfficient reactive updates can offer good runtime performance.reduxMinimal runtime overhead due to its lightweight nature.
| Criteria | mobx | redux |
|---|---|---|
| Bundle Size | Larger bundle size compared to Redux. | ✓ Extremely small and lightweight bundle size. |
| Learning Curve | ✓ Generally considered easier to learn with less boilerplate. | Steeper learning curve due to core concepts like actions, reducers, and middleware. |
| Predictability | Reactivity can sometimes obscure the source of state changes. | ✓ High predictability due to explicit actions and pure reducers. |
| State Structure | Encourages mutable observable objects and classes. | ✓ Mandates immutable state objects and pure functions. |
| Boilerplate Code | ✓ Requires minimal boilerplate for basic state management. | Typically involves more boilerplate due to action and reducer definitions. |
| Reactivity Model | Uses observable data and automatic reactions for state updates. | Relies on a unidirectional data flow with actions and reducers. |
| Developer Tooling | Offers debugging tools focused on observable changes. | ✓ Features mature and comprehensive DevTools with time-travel debugging. |
| Ecosystem Breadth | Solid ecosystem but less extensive middleware compared to Redux. | ✓ Vast ecosystem with a wide range of community-created middleware and tools. |
| Scalability Focus | Scales well, especially in apps valuing rapid prototyping. | ✓ Designed for large-scale applications with complex state needs. |
| TypeScript Support | Good TypeScript support with clear examples and typings. | ✓ Excellent TypeScript support, with strong typings and integration. |
| Data Flow Enforcement | More flexible data flow, can allow direct mutation of observables. | ✓ Strictly enforces unidirectional data flow and predictable state transitions. |
| Side Effect Management | Side effects are often handled within reactions or observed functions. | ✓ Primarily managed through middleware like Thunk or Saga. |
| Initial Setup Complexity | ✓ Simpler initial setup with less configuration. | Requires more initial setup for store, reducers, and middleware. |
| Performance Characteristics | Efficient reactive updates can offer good runtime performance. | Minimal runtime overhead due to its lightweight nature. |
MobX is designed for simplicity and ease of use, making it an excellent choice for developers who want to manage state with minimal boilerplate. Its core philosophy revolves around observable data structures and automatic reactions, allowing state changes to propagate efficiently throughout the application without explicit subscriptions.
Redux, on the other hand, prioritizes predictability and maintainability through a more structured approach. Its design is centered around a single source of truth, immutable state, and explicit actions, which enforces a disciplined pattern for state management. This makes it a robust solution for large-scale applications where state consistency and debugging are paramount.
Architecturally, the key difference lies in their reactivity models. MobX utilizes observables and reactions, where state changes automatically trigger updates in dependent parts of the application. This declarative approach abstracts away much of the manual plumbing, leading to less code. Redux follows a unidirectional data flow, where state is updated via dispatched actions processed by pure reducer functions. This explicit flow makes state transitions traceable.
Another significant technical difference is their approach to side effects and asynchronous operations. MobX typically handles these within reactions or side effect functions that observe state changes. Redux, however, relies heavily on middleware, such as Redux Thunk or Redux Saga, to manage side effects. This middleware pattern provides a flexible and powerful way to extend Redux's core functionality and handle complex asynchronous logic.
The developer experience with MobX is often characterized by a gentler learning curve. Its intuitive API and automatic tracking of dependencies mean developers can often get started quickly without needing to deeply understand complex patterns. Redux, while powerful, can present a steeper learning curve due to its concepts of actions, reducers, immutability, and middleware. However, Redux's strict structure and excellent tooling, including robust DevTools, can lead to a highly productive development environment once mastered.
When considering performance and bundle size, Redux has a significant advantage. It is incredibly lightweight, with a minimal bundle size that imposes very little overhead on applications. MobX, while also efficient, is larger and might add more to the final bundle, especially for smaller projects where every kilobyte counts. However, MobX's efficient reactivity can sometimes lead to better runtime performance in scenarios with frequent, fine-grained state updates.
For practical recommendations, if you are building a smaller application, a prototype, or a project where rapid development and minimal cognitive load are prioritized, MobX is an excellent choice. Its ease of use allows for quick iteration. If you are working on a large-scale enterprise application, a complex single-page application with many moving parts, or a project where strict state control and long-term maintainability are critical, Redux often proves to be the more scalable and robust solution.
Redux has a vast and mature ecosystem, offering a wide array of community-built extensions and middleware for almost any conceivable need. This extensive support can reduce the need for custom solutions. MobX also has a good ecosystem and integrates seamlessly with React, but the breadth of third-party middleware and patterns specifically designed for its reactivity model is not as extensive as Redux's.
An edge case to consider is debugging. While both offer debugging tools, Redux's strict, predictable flow and immutability make it exceptionally easy to trace state changes and pinpoint bugs using its time-travel debugging capabilities. MobX's automatic reactivity, while convenient, can sometimes make it harder to track down the exact source of an unexpected state update if not carefully managed, although its debugger has improved significantly.
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