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MuukTestIt's clear that enhancing your testing efforts could help identify bugs sooner, yet effective QA testing often demands significant time, effort, and resources. With MuukTest, engineering teams can achieve up to 95% coverage of end-to-end tests in a mere three months. Our team of QA specialists is dedicated to creating, overseeing, maintaining, and updating E2E tests on the MuukTest Platform for your web, API, and mobile applications with unparalleled speed. After reaching 100% regression coverage within just eight weeks, we initiate exploratory and negative testing to discover bugs and further elevate your testing coverage. By managing your testing frameworks, scripts, libraries, and maintenance, we significantly reduce the time you spend on development. Additionally, we take a proactive approach to identify flaky tests and false results, ensuring that your testing process remains accurate. Consistently conducting early and frequent tests enables you to catch errors during the initial phases of the development lifecycle, thus minimizing the burden of technical debt in the future. By streamlining your testing processes, you can improve overall product quality and enhance team productivity.
What is Apache Yetus?
Apache Yetus is a collection of libraries and tools aimed at streamlining the contribution and release processes of software projects. It provides a robust framework for automatically assessing new contributions against a variety of community-approved criteria, while also enabling the documentation of a well-defined interface that supports related downstream projects. Furthermore, it equips release managers with tools to generate release documentation by utilizing data from community issue trackers and source code repositories. The project's name, Yetus, is inspired by a term associated with the Cymbium genus of gastropods, reflecting the predominant use of shell and scripting languages in its codebase. The Yetus Precommit suite for building, patching, and continuous integration allows projects to establish formal criteria for patch acceptance and evaluate incoming contributions prior to a committer's review. Additionally, the Audience Annotations feature empowers developers to use Java Annotations to specify which components of their Java libraries are meant for public access, thereby improving clarity and usability. Overall, this framework ensures that both contributors and users have a comprehensive understanding of the project's standards and guidelines, promoting a collaborative and transparent development environment.
What is Apache Bigtop?
Bigtop is an initiative spearheaded by the Apache Foundation that caters to Infrastructure Engineers and Data Scientists in search of a comprehensive solution for packaging, testing, and configuring leading open-source big data technologies. It integrates numerous components and projects, including well-known technologies such as Hadoop, HBase, and Spark. By utilizing Bigtop, users can conveniently obtain Hadoop RPMs and DEBs, which simplifies the management and upkeep of their Hadoop clusters. Furthermore, the project incorporates a thorough integrated smoke testing framework, comprising over 50 test files designed to guarantee system reliability. In addition, Bigtop provides Vagrant recipes, raw images, and is in the process of developing Docker recipes to facilitate the hassle-free deployment of Hadoop from the ground up. This project supports various operating systems, including Debian, Ubuntu, CentOS, Fedora, openSUSE, among others. Moreover, Bigtop delivers a robust array of tools and frameworks for testing at multiple levels—including packaging, platform, and runtime—making it suitable for both initial installations and upgrade processes. This ensures a seamless experience not just for individual components but for the entire data platform, highlighting Bigtop's significance as an indispensable resource for professionals engaged in big data initiatives. Ultimately, its versatility and comprehensive capabilities establish Bigtop as a cornerstone for success in the ever-evolving landscape of big data technology.
Integrations Supported
Jenkins
Jira
Apache HBase
Apache Spark
Azure Pipelines
Beats
GitHub
GitLab
Hadoop
Semaphore
Integrations Supported
Jenkins
Jira
Apache HBase
Apache Spark
Azure Pipelines
Beats
GitHub
GitLab
Hadoop
Semaphore
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
Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
yetus.apache.org
Company Facts
Organization Name
Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
bigtop.apache.org
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
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