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What is EasyMock?

In a software system, components rarely operate in isolation; rather, they interact with one another to successfully complete their functions. During the process of unit testing, it is often deemed unnecessary to engage the actual implementations of these interconnected components, as there is typically a level of trust in their stability. Instead, mock objects are utilized as substitutes for the collaborators related to the unit under examination. To thoroughly assess a unit in isolation and to establish a suitable testing environment, it is crucial to mimic the behavior of these collaborators within the testing framework. A Mock Object serves as a test-oriented replacement for a collaborator, crafted to emulate the capabilities of the original object in a straightforward manner. Unlike a stub, which simply returns fixed responses, a Mock Object not only provides these responses but also verifies its correct usage throughout the testing procedure. EasyMock emerged as a pioneer in the realm of dynamic Mock Object creation, relieving developers from the cumbersome task of manually crafting Mock Objects or developing the necessary code for their generation. By leveraging Java's proxy capabilities, EasyMock enables the instantaneous creation of Mock Objects, thereby simplifying the testing workflow and improving efficiency. This breakthrough not only streamlines the testing process but also enhances control and precision during unit tests, ultimately contributing to more reliable software development practices. By employing such tools, developers can ensure that their testing strategies are both effective and less time-consuming.

What is Deequ?

Deequ is a groundbreaking library designed to enhance Apache Spark by enabling "unit tests for data," which helps evaluate the quality of large datasets. User feedback and contributions are highly encouraged as we strive to improve the library. The operation of Deequ requires Java 8, and it is crucial to recognize that version 2.x of Deequ is only compatible with Spark 3.1, creating a dependency between the two. Users of older Spark versions should opt for Deequ 1.x, which is available in the legacy-spark-3.0 branch. Moreover, we also provide legacy releases that support Apache Spark versions from 2.2.x to 3.0.x. The Spark versions 2.2.x and 2.3.x utilize Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases rely on Scala 2.12. Deequ's main objective is to conduct "unit-testing" on data to pinpoint possible issues at an early stage, thereby ensuring that mistakes are rectified before the data is utilized by consuming systems or machine learning algorithms. In the upcoming sections, we will illustrate a straightforward example that showcases the essential features of our library, emphasizing its user-friendly nature and its role in preserving data quality. This example will also reveal how Deequ can simplify the process of maintaining high standards in data management.

Media

Media

Integrations Supported

Apache Spark
PowerMock

Integrations Supported

Apache Spark
PowerMock

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EasyMock

Date Founded

2001

Company Website

easymock.org

Company Facts

Organization Name

Deequ

Company Website

github.com/awslabs/deequ

Categories and Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

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