@analytics/core

What is @analytics/core?

@analytics/core is a lightweight, modular analytics library for tracking events, page views, and user data. It provides a simple API for integrating with various analytics services and managing analytics data in a consistent way.

What are @analytics/core's main functionalities?

Track Events

This feature allows you to track custom events within your application. The `track` method is used to log events with specific properties such as category and label.

const Analytics = require('@analytics/core');
const analytics = Analytics({
  app: 'my-app',
  version: 100
});

analytics.track('buttonClicked', {
  category: 'UI Interaction',
  label: 'Signup Button'
});

Page Views

This feature allows you to track page views. The `page` method logs a page view event, which can be useful for understanding user navigation patterns.

const Analytics = require('@analytics/core');
const analytics = Analytics({
  app: 'my-app',
  version: 100
});

analytics.page();

Identify Users

This feature allows you to identify users and associate them with specific traits. The `identify` method is used to log user information such as name and email.

const Analytics = require('@analytics/core');
const analytics = Analytics({
  app: 'my-app',
  version: 100
});

analytics.identify('user-id-123', {
  name: 'John Doe',
  email: '[e-mail]'
});

Other packages similar to @analytics/core

analytics

The `analytics` package is a lightweight, pluggable analytics library that supports multiple analytics providers. It offers similar functionality to @analytics/core, including event tracking, page views, and user identification.

segment

The `segment` package is a robust analytics library that allows you to collect, transform, and send your analytics data to various destinations. It provides a more comprehensive solution compared to @analytics/core, with additional features like data transformation and integration with a wide range of services.

mixpanel

The `mixpanel` package is a powerful analytics tool focused on event tracking and user analytics. It offers advanced features such as user segmentation, funnel analysis, and A/B testing, making it a more feature-rich alternative to @analytics/core.

README