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What is walrus.ai?

We empower individuals to leverage their strengths while allowing machines to perform at peak efficiency. The walrus.ai command-line interface provides the most straightforward way to execute thorough tests on your application. It allows you to set up tests either directly within the command line or through organized YML files. You have the option to submit your tests via our intuitive dashboard or the walrus.ai CLI. Our system transforms your specified instructions into an automated testing framework seamlessly. Test outcomes are readily available through our dashboard, at the command line, or via various integrations. We meticulously monitor each model execution to identify any alterations in the application or possible false failures. By re-verifying your tests, we ensure you won't face misleading results, whether positive or negative. Additionally, you can evaluate even the most complicated user interactions using straightforward language, as we handle all the details for you. This not only streamlines the testing process but also allows you to concentrate on enhancing your application without the burden of testing complexities. Ultimately, our approach fosters a collaborative environment between human creativity and machine efficiency, ensuring optimal results.

What is ReportPortal?

Investigate the reasons for failures immediately following the completion of the testing phase. Generate concise and comprehensible reports for your team members. Leverage machine learning-powered auto-analyzers to explore the factors contributing to the failures. Aggregate test results from various platforms, frameworks, and programming languages, ensuring that actionable insights are provided. By utilizing machine learning algorithms, you can reveal trends within the test data, pinpoint the root causes of failures, and predict future testing results. Complement the automated analysis with a manual review of test logs and new failure trends observed in the most recent test executions. Facilitate automated decision-making in release pipelines by following established testing standards and outcomes. Display test results in a manner that enhances the tracking of trends, allows for the identification of patterns, generates insights, and supports well-informed business decisions. Conduct regular evaluations of your product's status and automate release choices using Quality Gates to improve both efficiency and reliability. This comprehensive strategy not only simplifies the testing process but also plays a vital role in elevating the overall quality of the product while ensuring teams remain informed and proactive.

Media

Media

Integrations Supported

GitHub

Integrations Supported

GitHub
Active Directory
Azure DevOps
Docker
GitLab
JUnit
Jira
Kubernetes
Microsoft Azure
Microsoft Hyper-V
Okta
Rally
Robot Framework
Sauce Labs
Slack
monday AI work platform
testRigor
vStellar

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

walrus.ai

Date Founded

2018

Company Location

United States

Company Website

walrus.ai/

Company Facts

Organization Name

ReportPortal

Date Founded

2013

Company Location

United States

Company Website

reportportal.io

Categories and Features

Automated Testing

Not specified

Software Testing

Not specified

Categories and Features

Automated Testing

Not specified

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