react vs react-redux: What are the differences?

### Introduction

React is a JavaScript library for building user interfaces, while React-Redux is a state management library specifically designed for React applications.

1. **State Management**: React does not have built-in state management, requiring developers to manage state within components. In contrast, React-Redux provides a centralized store to manage application state, allowing for better organization and control.

2. **Time Travel Debugging**: React does not inherently support time travel debugging, making it challenging to track state changes over time. With React-Redux, the built-in tools like Redux DevTools enable time travel debugging, simplifying the process of tracing state changes.

3. **Data Flow**: React employs a unidirectional data flow where data is passed from parent to child components, leading to complex prop drilling in larger applications. In React-Redux, the data flow is simplified through the use of Redux's store, allowing components to access state directly as needed.

4. **Performance Optimization**: React requires manual optimization techniques like memoization or PureComponent to prevent unnecessary re-renders and improve performance. React-Redux integrates seamlessly with Redux's memoized selectors, automatically optimizing performance by only re-rendering components when necessary.

5. **Code Organization**: React applications may suffer from scattered and duplicated state logic across components, making codebase maintenance challenging. By centralizing state management in a Redux store, React-Redux promotes a more organized codebase with clear separation of concerns and easier maintenance.

6. **Scalability**: As React applications grow in complexity, managing state through local component state becomes cumbersome and error-prone. React-Redux offers a scalable solution by abstracting state management to a global store, ensuring consistency and ease of scalability as applications expand.

In Summary, React and React-Redux differ in their state management approach, time travel debugging capabilities, data flow simplicity, performance optimization tools, code organization benefits, and scalability for growing applications.