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What is Pester?

Pester acts as a comprehensive testing and mocking framework tailored for PowerShell, greatly enhancing code quality and enabling predictable alterations. By integrating Pester tests within your PowerShell scripts, you can uphold a superior level of code integrity, and Visual Studio Code provides extensive support for Pester, allowing for fast test development. The synergy between Pester and platforms such as TFS, Azure, GitHub, Jenkins, and numerous CI servers allows for a seamless automation of your entire development workflow. This framework is not only intended for writing and executing tests but primarily serves unit and integration testing, while also extending its functionalities to verify entire environments, computer setups, and database configurations. Pester tests are adaptable and capable of running any command or script accessible to a Pester test file, which includes functions, Cmdlets, Modules, and scripts. Developers can choose to operate Pester locally with Visual Studio Code or integrate it into a build script within a CI pipeline, making it a robust tool for coding professionals. Additionally, the framework’s capacity to create extensive test suites encourages a culture of dependability and assurance in your PowerShell programming, ultimately leading to improved project outcomes. This commitment to testing not only enhances individual projects but also contributes to the overall advancement of software development practices.

What is Appvance?

Appvance IQ (AIQ) significantly enhances productivity and reduces costs associated with test creation and execution. It provides both AI-powered fully automated tests and third-generation codeless scripting options for developing tests. The scripts generated undergo execution via data-driven functional and performance testing, including app-pen and API assessments for both web and mobile applications. With AIQ's self-healing technology, you can achieve comprehensive code coverage using only 10% of the effort that traditional testing methods demand. Moreover, AIQ identifies critical bugs automatically, requiring very little intervention. There is no need for programming, scripting, logs, or recording, simplifying the overall testing process. Additionally, AIQ readily integrates with your current DevOps frameworks and tools, streamlining your workflow even further. This seamless compatibility enhances the efficiency of your testing strategy and overall project management.

Media

Media

Integrations Supported

GitHub
Jenkins
Microsoft Azure
Amazon EC2
Amazon Web Services (AWS)
Azure DevOps Server
Bamboo
Bitbucket
Capgemini Intelligent Automation Platform
CircleCI
Deloitte Cascade Suite
Dynatrace
GitLab
Google Cloud Platform
Jira
New Relic
OpenStack
Rackspace
TFS Manager for Dynamics CRM
Visual Studio Code

Integrations Supported

GitHub
Jenkins
Microsoft Azure
Amazon EC2
Amazon Web Services (AWS)
Azure DevOps Server
Bamboo
Bitbucket
Capgemini Intelligent Automation Platform
CircleCI
Deloitte Cascade Suite
Dynatrace
GitLab
Google Cloud Platform
Jira
New Relic
OpenStack
Rackspace
TFS Manager for Dynamics CRM
Visual Studio Code

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

Pester

Date Founded

2019

Company Location

United States

Company Website

pester.dev/

Company Facts

Organization Name

Appvance.ai

Date Founded

2012

Company Location

United States

Company Website

www.appvance.ai/

Categories and Features

Categories and Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

Mobile App Testing

Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing

Performance Testing

API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing

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

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