Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Parasoft Reviews & Ratings
    140 Ratings
    Company Website
  • Gearset Reviews & Ratings
    228 Ratings
    Company Website
  • qTest Reviews & Ratings
    Company Website
  • YouTestMe Reviews & Ratings
    37 Ratings
    Company Website
  • Boozang Reviews & Ratings
    15 Ratings
    Company Website
  • Bitrise Reviews & Ratings
    393 Ratings
    Company Website
  • MuukTest Reviews & Ratings
    34 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    159 Ratings
    Company Website
  • Macaw AMS Reviews & Ratings
    5 Ratings
    Company Website
  • QA Wolf Reviews & Ratings
    248 Ratings
    Company Website

What is JMockit?

This toolkit is offered as a set of resources available through the Maven Central repository. To execute tests, it requires Java version 7 or above, and these tests can be run using either JUnit or TestNG frameworks. For instructions on how to integrate the library into your Java project, consult the section dedicated to Running tests with JMockit. This guide delves into the different APIs that the library provides, featuring example tests that are built using Java 8. At its core, the primary API includes a single annotation that enables the automatic creation and configuration of the objects that are to be tested. In addition to this, there is a mocking API, commonly known as the "Expectations" API, designed specifically for tests that involve mocked dependencies. Moreover, a streamlined faking API, referred to as the "Mockups" API, is included to help create and employ fake implementations, thus reducing the resource load required by external components. Overall, this toolkit significantly improves testing efficiency by simplifying the setup process and offering flexible mocking features, making it a valuable asset for developers. With its comprehensive capabilities, it ensures that testing can be both effective and efficient.

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
Java

Integrations Supported

Apache Spark
Java

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

JMockit

Company Website

jmockit.github.io

Company Facts

Organization Name

Deequ

Company Website

github.com/awslabs/deequ

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Spark Streaming Reviews & Ratings

Spark Streaming

Apache Software Foundation
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
MLlib Reviews & Ratings

MLlib

Apache Software Foundation
Apache Mahout Reviews & Ratings

Apache Mahout

Apache Software Foundation