1. Detect Changes Between API Responses:

Comparing two JSON objects returned from an API to identify changes in the response over time.

2. Versioning of JSON Data:

Comparing JSON data between different versions of an application or service.

3. Data Validation and Integrity Check:

Ensuring that two JSON objects (e.g., original data and modified data) are equivalent after applying updates. Useful in validation scenarios to ensure data integrity after processing.

4. Identifying Differences for Merging Data:

Merging two JSON objects by identifying differences between them. Used in scenarios such as version control or data merging where combining data from different sources is necessary.

5. Automated Testing of JSON Responses:

Comparing expected and actual JSON output in automated tests. Common in test-driven development (TDD) or continuous integration/continuous deployment (CI/CD) pipelines.

6. JSON Schema Validation:

Comparing a JSON object against a predefined JSON schema. Helps in validating API responses or user input in applications that require strict data validation.

7. Detecting Duplicates in a JSON Array:

Identifying duplicate entries within a JSON array by comparing the elements. Used in situations like deduplication of user-generated content or list processing.