Head-to-Head: Evergreen vs react-datetime Analysis

evergreen-ui

v7.1.9(about 1 year ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 17Monthly npm downloads

Evergreen-UI is a React component library designed for building modern and responsive user interfaces. It offers a wide range of customizable and accessible components such as buttons, modals, tooltips, and more, allowing developers to create visually appealing and user-friendly applications. Evergreen-UI focuses on simplicity and consistency in design, making it easy to maintain a cohesive look and feel across your project.

Alternatives:
chakra-ui+
ant-design+
material-ui+
blueprintjs/core+
rebass+
semantic-ui-react+
grommet+
react-bootstrap+
reactstrap+
primeReact+

Tags: reactcomponent-libraryuser-interfaceresponsiveaccessibility

react-datetime

v3.2.0(over 1 year ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 1Monthly npm downloads

React-Datetime is a versatile and user-friendly date and time picker component for React applications. It provides a customizable and interactive interface for selecting dates and times, with support for various date formats, timezones, and localization. React-Datetime offers features like date range selection, disabled dates, and time constraints, making it suitable for a wide range of use cases.

Alternatives:
react-datepicker+
@mui/lab+
@blueprintjs/datetime+
react-dates+
react-big-calendar+
react-flatpickr+
@hassanmojab/react-modern-calendar-datepicker+
react-day-picker+
react-calendar+
@material-ui/pickers+

Tags: reactdate-pickertime-pickercomponentuser-interface

Fight!

Popularity

Both Evergreen UI and React Datetime are popular npm packages within the React ecosystem. Evergreen UI has gained significant popularity for its modern and customizable UI components, while React Datetime is popular for its date and time picker functionality.

UI Components vs. Date and Time Picker

Evergreen UI is primarily focused on providing a wide range of reusable UI components, such as buttons, checkboxes, modals, and more. It offers a comprehensive set of components with flexible styling options. On the other hand, React Datetime is a specific package that specializes in providing date and time picker components with customizable options.

Customizability

Both packages offer customization options, but Evergreen UI provides more extensive customization capabilities. It offers various themes, styling options, and prop overrides to tailor the UI components according to the project's design requirements. React Datetime, while it does offer some customization options, is more focused on providing a specific date and time picker functionality.

Documentation and Community Support

Evergreen UI has comprehensive documentation, including guides, API references, and examples, making it easier for developers to get started and understand how to use the package effectively. It also has an active community and GitHub repository, providing continuous support and updates. React Datetime, while it does have documentation, may have less extensive community support compared to Evergreen UI.

Integration with React Ecosystem

Both Evergreen UI and React Datetime are designed to integrate seamlessly with React. They follow best practices for React development and provide React-specific features like hooks and context. It is important to note that Evergreen UI is a more comprehensive library that covers a wider range of UI components, making it suitable for building whole UI systems, while React Datetime is focused on date and time pickers.

Dependencies and Bundle Size

As Evergreen UI provides a comprehensive set of UI components, it may have more dependencies and consequently a larger bundle size compared to React Datetime, which is specialized and focused on providing date and time picker functionality. It is important to consider the impact on the overall bundle size and performance requirements of your project when evaluating these packages.