What is @date-io/dayjs?
@date-io/dayjs is a date utility library that provides a consistent API for working with dates and times using the Day.js library. It is commonly used in conjunction with date pickers and other date-related components in JavaScript applications.
What are @date-io/dayjs's main functionalities?
Parsing Dates
This feature allows you to parse a date string into a Day.js object. The code sample demonstrates how to parse a date string and format it.
const dayjs = require('dayjs');
const date = dayjs('2023-10-01');
console.log(date.format());
Formatting Dates
This feature allows you to format a Day.js date object into a string with a specified format. The code sample shows how to format the current date as 'YYYY-MM-DD'.
const dayjs = require('dayjs');
const date = dayjs();
console.log(date.format('YYYY-MM-DD'));
Manipulating Dates
This feature allows you to manipulate dates by adding or subtracting time units. The code sample demonstrates how to add one month to the current date.
const dayjs = require('dayjs');
const date = dayjs().add(1, 'month');
console.log(date.format());
Comparing Dates
This feature allows you to compare two dates. The code sample shows how to check if one date is before another date.
const dayjs = require('dayjs');
const date1 = dayjs('2023-10-01');
const date2 = dayjs('2023-11-01');
console.log(date1.isBefore(date2));
Other packages similar to @date-io/dayjs
@date-io/moment
@date-io/moment provides a similar API for working with dates and times using the Moment.js library. It offers extensive functionality for parsing, formatting, and manipulating dates, but Moment.js is larger in size compared to Day.js.
@date-io/luxon
@date-io/luxon provides a similar API for working with dates and times using the Luxon library. Luxon is known for its modern API and built-in support for time zones and internationalization, making it a good alternative to Day.js.
@date-io/date-fns
@date-io/date-fns provides a similar API for working with dates and times using the date-fns library. date-fns is modular and tree-shakeable, allowing you to include only the functions you need, which can result in smaller bundle sizes.