Best Automation Testing Tools - Page 2

How Many Automation Testing Tools Products Does G2 Track?

Total Products under this Category: 441

Category Stats (Nov 2026)

  • Average Rating: 4.47/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Maestro (+1.02%) - Among all products in this category, Maestro recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Automation Testing Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 22,700+ Authentic Reviews
  • 441+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Automation Testing Tools

G2 Grid® for Automation Testing Tools plotting products by satisfaction and market presence

Highlighted products: BrowserStack, UiPath Agentic Automation, Keysight Eggplant, Katalon, Testsigma, testRigor, QA Wolf, and Cyara Platform.

Underlying data: [Grid® JSON](https://www.g2.com/categories/automation-testing-tools/grids.json?focus%5B%5D=browserstack&focus%5B%5D=uipath-agentic-automation&focus%5B%5D=keysight-eggplant&focus%5B%5D=katalon&focus%5B%5D=testsigma&focus%5B%5D=testrigor&focus%5B%5D=qa-wolf&focus%5B%5D=cyara-platform)

BMC AMI DevX

BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce. Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach. A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%. Key capabilities: - Modern IDE integration (VS Code, Eclipse) with a unified development environment that reduces context switching - AI-powered code analysis including dependency mapping, impact analysis, and runtime execution path visualization - Automated unit, functional, integration, and performance testing with code coverage analysis - Git-compatible CI/CD integration with event-driven webhooks and an open plug-in library - DORA metrics and DevOps KPI tracking with AI/ML anomaly detection across the mainframe SDLC

Average Rating: 4.3/5.0

Total Reviews: 95

How Do G2 Users Rate BMC AMI DevX?

  • Reliability: 9.4/10 (Category avg: 8.7/10)
  • Thoroughness: 10.0/10 (Category avg: 8.7/10)
  • Test Feedback: 9.2/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)

Who Is the Company Behind BMC AMI DevX?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • LinkedIn® Page: www.linkedin.com
    8,646 employees on LinkedIn®
  • Phone: 713 918 8800

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 28% Medium

What Do G2 Reviewers Say About BMC AMI DevX?

AI-generated summary from verified user reviews

Pros
  • Users find BMC AMI DevX to be easy to use, facilitating seamless implementation and efficient performance monitoring.
  • Users value the industry benchmarking feature of BMC AMI DevX, enhancing performance comparisons and executive reporting.
  • Users value the effective bug detection capabilities of BMC AMI DevX, enhancing modernization and operational performance insights.
  • Users value the excellent customer support provided by BMC AMI DevX, enhancing their overall experience.
  • Users praise the smooth integration of Machine Learning in BMC AMI DevX, enhancing DevOps KPIs effectively.
Cons
  • Users face complexity and limitations in customization that hinder their ability to tailor the BMC AMI DevX to their needs.
  • Users find limited customization challenging, making it difficult to tailor dashboards to their specific organizational needs.
  • Users experience compatibility issues with BMC AMI DevX when integrating non-BMC tools, hindering effective activity monitoring.
  • Users struggle with the complex setup of BMC AMI DevX due to limited customization and a steep learning curve.
  • Users face configuration issues due to limited customization and a steep learning curve for tailored setups.

What Are Recent G2 Reviews of BMC AMI DevX?

What Are G2 Users Discussing About BMC AMI DevX?

Qodex.ai

Qodex is a swarm of AI agents that attacks and tests your app 24/7, so your team ships AI-written code without a security or QA team. The problem: your team ships with coding agents, so the code doubles and the people who test and secure it do not. 45% of AI-written code fails OWASP Top 10 security tests (Veracode, 2025). Your pentest is once a year. What Qodex does: a swarm of agents runs against your live app. The largest group tries to break in the way a hacker would: injection, broken auth, one customer seeing another customer's data, the OWASP Top 10 and the OWASP API Top 10, with the exploit reproduced as evidence. The others click through every screen in a real browser and call every API, from an OpenAPI, Swagger or Postman import. How you drive it: describe what to attack or test in plain English and watch it work live. It remembers your app across sessions: auth, quirks, past bugs, your code if you link the repo. What you keep: every test is saved as plain Playwright or HTTP code you own. Saved tests re-run with no AI calls, every night, from CI on every deploy, or from Claude Code and Cursor. When a screen changes, a saved step finds its control again from the intent. What you get back: every failure labelled real bug, stale test or environment problem, with severity, steps and evidence. A security test passes only when the attack was blocked. Start: free plan, no card. Paid from $1,299 per project per month. Managed cloud, AWS Marketplace or self-host.

Average Rating: 4.9/5.0

Total Reviews: 60

How Do G2 Users Rate Qodex.ai?

  • Reliability: 9.4/10 (Category avg: 8.7/10)
  • Thoroughness: 9.3/10 (Category avg: 8.7/10)
  • Test Feedback: 9.3/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)

Who Is the Company Behind Qodex.ai?

  • Seller: QodexAI
  • Year Founded: 2024
  • HQ Location: San Francisco, California
  • LinkedIn® Page: linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 75% Small, 20% Medium

What Do G2 Reviewers Say About Qodex.ai?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Qodex.ai, allowing quick adoption and streamlined testing workflows effortlessly.
  • Users value the automation capabilities of Qodex.ai, which streamline AI testing while maintaining high quality and speed.
  • Users praise Qodex.ai for its ability to automate AI-driven testing workflows, significantly reducing manual efforts while ensuring quality.
  • Users appreciate the testing efficiency of Qodex.ai, enabling faster workflows while ensuring high-quality coverage in AI testing.
  • Users appreciate the ease of use and automation in Qodex.ai, simplifying testing processes and enhancing productivity.
Cons
  • Users note that the slow loading times for UI and reports can hinder their overall experience.
  • Users find the poor documentation of Qodex.ai limits their ability to fully utilize advanced features effectively.
  • Users notice slow performance in Qodex.ai, with delays in UI loading and chatbot response times affecting usability.
  • Users report bug issues with repeated test cases, suggesting improvements in tagging and reporting processes.
  • Users experience repeated test case issues and suggest improvements in bug reporting and prioritization.

What Are Recent G2 Reviews of Qodex.ai?

Leapwork

Leapwork is a test automation platform designed to help users build, maintain, and scale complex data-driven test scenarios without the need for coding. This no-code visual experience allows software testing teams to create automated tests quickly and effectively, facilitating a more efficient testing process that can adapt to the evolving needs of various projects. The platform is particularly beneficial for software testing teams looking to accelerate their release cycles while minimizing defects. By optimizing and reusing test flows, Leapwork simplifies the maintenance of test cases, which can often become cumbersome in traditional testing environments. Its capability for end-to-end testing across all applications enhances the digital experience, ensuring that every aspect of the software functions as intended before it reaches the end user. Leapwork is designed with a focus on ease of use and flexibility, making it accessible to a wide range of users, from technical engineers to non-technical business users. This democratization of test automation empowers teams to collaborate more effectively, as individuals with varying levels of expertise can contribute to the testing process. The visual interface allows users to create test scenarios intuitively, reducing the learning curve typically associated with automation tools. Key features of Leapwork include its drag-and-drop interface, which allows users to build test flows visually, and its ability to integrate seamlessly with various applications and systems. This integration capability ensures that testing can be conducted across diverse environments, providing comprehensive coverage of the software's functionality. Additionally, Leapwork supports data-driven testing, enabling users to run the same test scenarios with different sets of data, which is crucial for validating applications under various conditions. By leveraging Leapwork, organizations can achieve significant improvements in their testing processes, leading to higher quality software releases and enhanced customer satisfaction. The platform's focus on automation not only reduces manual testing efforts but also increases the reliability of test results, making it a valuable tool for any team committed to delivering exceptional digital experiences.

Average Rating: 4.5/5.0

Total Reviews: 104

How Do G2 Users Rate Leapwork?

  • Reliability: 8.3/10 (Category avg: 8.7/10)
  • Thoroughness: 8.4/10 (Category avg: 8.7/10)
  • Test Feedback: 8.1/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.2/10)

Who Is the Company Behind Leapwork?

  • Seller: Leapwork
  • Company Website:
  • Year Founded: 2015
  • HQ Location: København K, DK
  • LinkedIn® Page: www.linkedin.com
    264 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 34% Medium

What Do G2 Reviewers Say About Leapwork?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Leapwork, making test automation straightforward and efficient to navigate.
  • Users appreciate the ease of use in Leapwork, making test automation straightforward and efficient.
  • Users praise Leapwork for its responsive customer support that enhances their automation testing experience and quality.
  • Users appreciate the quick and easy automation setup with Leapwork's no-code, flow-based approach, enhancing efficiency.
  • Users appreciate the intuitive and visually appealing user interface of Leapwork, facilitating easy solution building.
Cons
  • Users find Leapwork expensive, particularly noting high implementation and maintenance costs compared to other tools.
  • Users note the missing features in Leapwork, such as variable management and enhanced reporting capabilities, impacting usability.
  • Users note significant cloud limitations in Leapwork, particularly regarding flexibility and export options for automation processes.
  • Users find limited customization options in Leapwork, leading to frustration for those accustomed to more flexible frameworks.
  • Users often face recording issues with Leapwork, leading to frustration during test development and execution.

What Are Recent G2 Reviews of Leapwork?

What Are G2 Users Discussing About Leapwork?

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How it works

ContextQA

ContextQA helps software teams create, run and maintain tests for web, mobile, API and enterprise applications. Teams can describe a workflow in plain language, run it against their application, and inspect the available screenshots, recordings and logs to understand the result. ContextQA MCP brings test authoring, execution and investigation into compatible AI assistants. ContextAI is the separate offering for evaluating text and voice agents using scenarios, personas and scoring criteria. Product access and features depend on the selected workspace and plan. For a first evaluation, choose a workflow with a clear expected outcome and review what the test actually verified. Signup: https://ship.contextqa.com/ Documentation: https://learning.contextqa.com/ MCP setup: https://mcp.contextqa.com/docs

Average Rating: 4.7/5.0

Total Reviews: 137

How Do G2 Users Rate ContextQA?

  • Reliability: 9.5/10 (Category avg: 8.7/10)
  • Thoroughness: 9.5/10 (Category avg: 8.7/10)
  • Test Feedback: 9.5/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.2/10)

Who Is the Company Behind ContextQA?

  • Seller: ContextQA
  • Year Founded: 2022
  • HQ Location: Austin, Texas
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About ContextQA?

AI-generated summary from verified user reviews

Pros
  • Users love the automation capabilities of ContextQA, enabling seamless reuse of test components and user journey management.
  • Users appreciate the ease of use of ContextQA, enhancing test management with its intuitive low-code, no-code features.
  • Users value the time-saving features of ContextQA, simplifying migration and prioritizing testing effectively.
  • Users value the easy integrations of ContextQA, which streamline workflows and enhance overall productivity.
  • Users value the automation support of ContextQA, enabling efficient and traceable user journey automation without coding skills.
Cons
  • Users find the initial learning curve challenging, but ultimately believe it is a worthwhile investment.
  • Users find the setup process complex, making installation and handling large data sets challenging for newcomers.
  • Users often struggle with a difficult learning curve, making it hard to fully leverage ContextQA's features.
  • Users desire broader browser compatibility for running tests beyond just Chrome, especially for Safari and Firefox.
  • Users report a difficult setup process, finding installation and configuration challenging for newcomers and time-consuming.

What Are Recent G2 Reviews of ContextQA?

Gearset DevOps

Gearset is the global leader in Salesforce DevOps. It’s a DevOps platform that helps organizations manage, automate, and govern the full Salesforce development lifecycle, from planning and deployment to testing, data management, and compliance. The platform is designed for Salesforce teams that need reliable, scalable DevOps processes across complex org environments. Gearset is used by mid-market and enterprise organizations across regulated and non-regulated industries, including healthcare, financial services, insurance, and technology. Typical users include Salesforce administrators, developers, DevOps engineers, release managers, and platform owners responsible for maintaining deployment quality, security, and operational consistency. The platform supports a wide range of Salesforce use cases, including metadata and CPQ deployments, CI/CD automation, code review workflows, sandbox seeding, test automation, and monitoring. As well as deployment automation, Gearset includes tools for Salesforce data protection and long-term data management, such as automated backups, data restore, and archiving. Observability and Org Intelligence features provide insight into org health, deployment risk, and system changes over time. Gearset also includes governance and compliance capabilities designed for enterprise environments. These features help teams maintain audit readiness and enforce access controls while supporting compliance frameworks such as SOX, ISO, HIPAA, and GDPR. The platform is delivered as a managed service and integrates with Salesforce environments without requiring complex local infrastructure. Key features and capabilities include: - Salesforce metadata, CPQ, and data deployments with CI/CD automation and version control integration - Code review, test automation, and release validation to support quality and consistency - Automated Salesforce backups, restore, and data archiving for data protection and retention - Sandbox seeding, observability, and Org Intelligence to support environment management and visibility - Governance features including audit trails, role-based access controls, and compliance support Gearset is a Salesforce Partner and has supported Salesforce teams globally since 2015. The platform is used by organizations managing multiple orgs (across regions), frequent releases, and complex compliance requirements, helping teams reduce deployment risk, improve operational visibility, and maintain control over Salesforce change management processes.

Average Rating: 4.7/5.0

Total Reviews: 311

How Do G2 Users Rate Gearset DevOps?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.2/10)

Who Is the Company Behind Gearset DevOps?

  • Seller: Gearset
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Cambridge, Cambridgeshire
  • LinkedIn® Page: www.linkedin.com
    369 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Developer, Salesforce Administrator
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 36% Medium, 33% Small

What Do G2 Reviewers Say About Gearset DevOps?

AI-generated summary from verified user reviews

Pros
  • Users find Gearset DevOps to be easy to use, enhancing their workflow and streamlining the development process.
  • Users value the seamless deployment process of Gearset DevOps, enhancing efficiency and integration with other tools.
  • Users find Gearset an easy deployment tool that streamlines release processes and enhances collaboration during development.
  • Users highlight the excellent customer support from Gearset, making setup and issue resolution smooth and reliable.
  • Users appreciate the deployment ease of Gearset DevOps, simplifying release processes and improving overall efficiency.
Cons
  • Users report deployment issues with missing translations and difficulties in diagnosing errors, complicating the deployment process.
  • Users find the complexity of managing connections and setting up CI/CD pipelines with Gearset challenging and time-consuming.
  • Users are frustrated with the lack of community support and difficulties in deleting records through Gearset.
  • Users find Gearset DevOps to be quite expensive, posing challenges for larger teams seeking budget approvals.
  • Users express concerns over missing features in Gearset, particularly regarding dependency tracking and translation deployments.

What Are Recent G2 Reviews of Gearset DevOps?

Maestro

Maestro is the open-source agentic UI testing framework for mobile apps. It includes Maestro MCP, Maestro Studio, and Maestro Cloud. Maestro MCP gives coding agents a live device. Add the Maestro MCP server to Claude Code, Cursor, Codex, GitHub Copilot, Gemini CLI, or any MCP client. Teams use it in two ways. Check work while building: while the agent builds or changes a feature, it inspects the screen, taps through the new screens on an emulator, simulator, or physical Android device, and checks its own work. Write end-to-end tests: ask the agent to explore your app and list the user journeys worth covering, or name the ones you want. It writes each flow in plain YAML and runs it on the device until it passes. You save the flows to your repo. Maestro MCP ships inside the Maestro CLI and takes about 5 minutes to set up. Maestro tests are plain YAML files, and they run as deterministic tests in any CI or on Maestro Cloud. Maestro is framework agnostic: it finds elements through the app's accessibility layer, by visible text or accessibility IDs, so it works with apps built in React Native, Flutter, Swift, or Kotlin. One syntax covers iOS and Android. Wahed went from 3 to 4 hours per Appium test to 10 to 15 minutes per Maestro flow. Maestro Studio is a free desktop app for Mac, Windows, and Linux for writing and debugging flows by hand. It mirrors the connected emulator or simulator: right-click an element on the screen and Studio adds the command with the correct selector, and autocomplete suggests commands and selectors from that device. QA, engineers, and PMs can write their first flow without learning the CLI. Maestro Cloud runs the suite in parallel on hosted Android and iOS devices, on infrastructure built for Maestro flows. Every run comes with step-by-step video, logs, and flake detection, and results post to pull requests, Slack, or a webhook. Eneco cut regression from 16 hours to under 1 hour. Cloud is $250 per device per month; Enterprise pricing is custom. Teams using Maestro include Amazon, Microsoft, Meta, DoorDash, Skyscanner, Brex, and DuckDuckGo. The framework, CLI, Studio, and MCP are free.

Average Rating: 4.5/5.0

Total Reviews: 92

How Do G2 Users Rate Maestro?

  • Reliability: 8.0/10 (Category avg: 8.7/10)
  • Thoroughness: 9.5/10 (Category avg: 8.7/10)
  • Test Feedback: 8.7/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)

Who Is the Company Behind Maestro?

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 65% Small, 30% Medium

What Do G2 Reviewers Say About Maestro?

AI-generated summary from verified user reviews

Pros
  • Users find Maestro's ease of use impressive, enabling non-developers to write and run tests effortlessly.
  • Users value the ease of automation in Maestro, appreciating its speed and accessibility for end-to-end testing.
  • Users appreciate the super easy setup of Maestro, enabling quick testing of iOS and Android E2E flows.
  • Users value how Maestro delivers accessible and dependable mobile testing with stable, easy-to-write YAML scripts.
  • Users highlight the super easy setup of Maestro, enabling fast and efficient E2E testing for both iOS and Android.
Cons
  • Users face testing difficulties due to lengthy UI test runtimes and a steep learning curve for advanced use cases.
  • Users find the missing features like basic logic statements and clear documentation hinder their experience with Maestro.
  • Users find a lack of insufficient information on advanced flows and community resources, making troubleshooting challenging.
  • Users find limited customization in Maestro, leading to rigidity and challenges in configuring workflows effectively.
  • Users find the poor documentation of Maestro complicates advanced configurations and learning curves significantly.

What Are Recent G2 Reviews of Maestro?

Avo Assure

Avo Assure is a sophisticated, AI-powered test automation platform designed to facilitate no-code, end-to-end software testing across a wide array of technologies. With support for over 200 technologies, Avo Assure is tailored for enterprise scalability, making it suitable for both technical and non-technical users. The platform's intuitive interface and smart automation features streamline the entire testing lifecycle, allowing organizations to enhance their software quality assurance processes efficiently. The primary audience for Avo Assure includes quality assurance (QA) teams, developers, and business users operating within agile environments. This platform empowers organizations to integrate testing seamlessly into their development cycles, ensuring that testing does not disrupt workflows. By enabling users to engage in testing without requiring extensive coding knowledge, Avo Assure democratizes the testing process, making it accessible to a broader range of users within an organization. Avo Assure boasts several key features that enhance its functionality and usability. The no-code automation capability allows users to conduct script-free testing through a user-friendly interface and a smart recorder, simplifying the test creation process. Its AI-driven testing features, such as GenAI, which auto-generates test cases, and Visual AI, which dynamically detects UI elements, significantly improve testing efficiency. Additionally, the SmartWait feature ensures test stability by waiting for elements to be ready before proceeding, thus minimizing errors during execution. The platform also supports cross-platform testing, enabling users to test applications across web, mobile, desktop, and mainframe environments with parallel execution and cross-browser compatibility. Avo Assure integrates seamlessly into agile workflows and CI/CD pipelines, facilitating in-sprint automation for continuous testing. Other notable features include a Design Studio for visual test planning, custom keywords for tailored test logic, and self-healing tests that adapt to UI changes, reducing maintenance efforts. The shared repository allows for centralized management of reusable test artifacts, while GIT integration supports version control and team collaboration. Overall, Avo Assure stands out in the test automation landscape due to its scalable architecture, efficiency in reducing test cycle times, and accessibility for non-technical users. Its reliable performance enhances test accuracy and minimizes flakiness, making it a valuable tool for organizations aiming to improve their software testing processes and deliver high-quality applications.

Average Rating: 4.6/5.0

Total Reviews: 145

How Do G2 Users Rate Avo Assure?

  • Reliability: 8.4/10 (Category avg: 8.7/10)
  • Thoroughness: 8.5/10 (Category avg: 8.7/10)
  • Test Feedback: 8.4/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.2/10)

Who Is the Company Behind Avo Assure?

Who Uses This Product?

  • Who Uses This: Automation Tester
  • Top Industries: Insurance, Information Technology and Services
  • Company Size: 36% Large, 33% Medium

What Do G2 Reviewers Say About Avo Assure?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Avo Assure, simplifying automation and enhancing efficiency for testing processes.
  • Users appreciate the easy automation of Avo Assure, enabling efficient and reliable testing processes with minimal effort.
  • Users appreciate the time-saving features of Avo Assure, enhancing efficiency in automation testing and reducing manual efforts.
  • Users appreciate the testing capabilities of Avo Assure, enabling seamless automation across multiple technologies with reusable test cases.
  • Users value the time-saving automation of Avo Assure, streamlining their testing processes efficiently without technical expertise.
Cons
  • Users report slow performance, especially with large test suites, impacting efficiency and user experience.
  • Users feel there is insufficient information available, leading to delays and challenges in completing tasks efficiently.
  • Users find the learning curve challenging, particularly for newcomers unfamiliar with automation tools and configurations.
  • Users find testing difficult due to lengthy debugging times and challenges with the Avo client and learning curve.
  • Users face a difficult learning curve with Avo Assure, especially new users unfamiliar with automation tools.

What Are Recent G2 Reviews of Avo Assure?

What Are G2 Users Discussing About Avo Assure?

Copado Robotic Testing

Copado Robotic Testing revolutionizes Salesforce QA by streamlining and optimizing manual testing. It accelerates test automation by leveraging AI-powered generative scripting, enabling teams to create robust, maintainable tests efficiently. Designed for scalability, Copado Robotic Testing includes parallel robots, increasing test performance and test coverage. Its seamless integration with CI/CD pipelines ensures that testing is part of the DevOps lifecycle, reducing errors and delays and ensuring teams deploy with confidence. Copado Robotic Testing is the solution for teams aiming to optimize manual testing, while building automation to improve software quality, and drive faster releases.

Average Rating: 4.5/5.0

Total Reviews: 47

How Do G2 Users Rate Copado Robotic Testing?

  • Reliability: 8.9/10 (Category avg: 8.7/10)
  • Thoroughness: 9.0/10 (Category avg: 8.7/10)
  • Test Feedback: 8.9/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)

Who Is the Company Behind Copado Robotic Testing?

  • Seller: Copado Solutions
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Chicago, IL
  • LinkedIn® Page: www.linkedin.com
    668 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications, Information Technology and Services
  • Company Size: 41% Large, 29% Small

What Do G2 Reviewers Say About Copado Robotic Testing?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Copado Robotic Testing, enabling fast, no-code automated testing for everyone.
  • Users value the simplicity and scalability of automation in Copado Robotic Testing, enhancing both efficiency and accessibility.
  • Users value the time-saving automation of Copado Robotic Testing, enabling quick and efficient test case creation.
  • Users commend the automation ease of Copado Robotic Testing, enabling fast, adaptable testing with no-code solutions for everyone.
  • Users value the easy integrations of Copado Robotic Testing, streamlining the testing process within their release pipelines.
Cons
  • Users experience slow performance during test execution and loading, impacting overall efficiency and prompt support.
  • Users find the poor UI of Copado Robotic Testing hampers their experience with slow performance and interaction issues.
  • Users find the difficult setup of Copado Robotic Testing to be time-consuming and frustrating for experienced users.
  • Users face testing difficulties with slow execution, UI interaction issues, and time-consuming setup processes.
  • Users find the learning curve steep, especially for beginners, making initial setup and maintenance challenging.

What Are Recent G2 Reviews of Copado Robotic Testing?

What Are G2 Users Discussing About Copado Robotic Testing?

SoftSpell

SoftSpell is an AI-powered platform that accelerates software delivery and simplifies legacy modernization. It transforms unstructured requirements and existing codebases into structured outputs, enabling faster development with clarity and control. By combining intelligent requirement analysis, context-aware code generation, and automated testing, it ensures end-to-end traceability while reducing manual effort and rework. SoftSpell integrates seamlessly into existing workflows, helping teams deliver high-quality software faster.

Average Rating: 4.4/5.0

Total Reviews: 48

How Do G2 Users Rate SoftSpell?

  • Reliability: 8.9/10 (Category avg: 8.7/10)
  • Thoroughness: 8.9/10 (Category avg: 8.7/10)
  • Test Feedback: 9.1/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)

Who Is the Company Behind SoftSpell?

Who Uses This Product?

  • Who Uses This: Senior Software Engineer, Software Engineer
  • Top Industries: Computer Software, Program Development
  • Company Size: 46% Small, 40% Large

What Do G2 Reviewers Say About SoftSpell?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the time-saving features of SoftSpell, significantly simplifying the coding process and improving efficiency.
  • Users value the coding assistance of SoftSpell, as it enhances efficiency and simplifies the coding process significantly.
  • Users value the automation capabilities of SoftSpell, significantly enhancing productivity with real-time code suggestions and time-saving features.
  • Users appreciate the quality improvement offered by SoftSpell, making coding smoother, faster, and more efficient.
  • Users value the ease of use of SoftSpell, enhancing their coding experience and simplifying problem-solving.
Cons
  • Users experience slow performance with SoftSpell, often facing delays and failures during usage.
  • Users report frequent prompt issues that lead to delays and distractions during coding, hindering overall productivity.
  • Users experience limited multimedia support, facing challenges with tech stack compatibility that may affect functionality.
  • Users find the UX improvement necessary, citing cluttered interfaces and confusing prompts that hinder efficient workflow.
  • Users face browser compatibility issues with SoftSpell, but hope for improvements in future updates.

What Are Recent G2 Reviews of SoftSpell?

Rainforest QA

AI-Powered Test Automation Software for Modern SaaS Teams Rainforest QA is an intelligent test automation platform designed to transform how growing SaaS companies approach quality assurance. By combining artificial intelligence with no-code simplicity, Rainforest enables teams to build, maintain, and scale comprehensive test suites without the complexity and resource requirements of traditional testing frameworks. AI-Driven Testing That Accelerates Your Development Cycle Rainforest's AI capabilities manage the entire testing lifecycle from planning to execution. The platform automatically generates comprehensive test plans and identifies coverage gaps in your existing test suite, ensuring no critical user flows go untested. Unlike traditional frameworks that require manual test creation, Rainforest creates automated, end-to-end tests for you, dramatically reducing the time from specification to execution. What truly sets Rainforest apart is its self-healing test technology. When UI changes occur—whether it's a button relocation or design refresh—tests automatically adapt without manual intervention. This eliminates the constant maintenance burden that plagues traditional automation frameworks. When tests do fail, Rainforest provides granular visibility into exactly what changed and why the failure occurred, enabling rapid root cause analysis and resolution. No-Code Simplicity for Every Team Member Rainforest's intuitive, no-code interface democratizes test automation across your organization. Developers, product managers, and QA professionals alike can write, run, and maintain test suites without specialized training or coding expertise. The platform's visual-first approach interacts with UI elements the same way users do, rather than relying exclusively on fragile CSS selectors that break with every design update. Teams achieve measurable value in days, not months. There's no lengthy buildout period, no specialized hiring requirements, and no vendor lock-in to engineering resources. Test ownership can flexibly sit with development, product, or QA teams based on your organizational structure. Complete All-in-One Testing Infrastructure Rainforest provides everything needed to create, execute, review, and organize comprehensive test suites within a single platform. Tests run in parallel for rapid feedback, and seamless integrations with GitHub, CircleCI, CLI, Slack, and other tools in your tech stack ensure testing fits naturally into existing workflows. It's the complete testing solution built for the speed and scale of modern SaaS development.

Average Rating: 4.3/5.0

Total Reviews: 166

How Do G2 Users Rate Rainforest QA?

  • Reliability: 7.9/10 (Category avg: 8.7/10)
  • Thoroughness: 8.5/10 (Category avg: 8.7/10)
  • Test Feedback: 8.4/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.2/10)

Who Is the Company Behind Rainforest QA?

  • Seller: Rainforest
  • Year Founded: 2012
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    115 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: QA Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 61% Small, 37% Medium

What Do G2 Reviewers Say About Rainforest QA?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Rainforest QA, finding it straightforward and user-friendly for creating test cases.
  • Users love the ease of creating automation test cases with Rainforest QA, enabling team participation without coding skills.
  • Users commend easy testing with Rainforest QA, benefiting from its user-friendly interface and no-code functionality.
  • Users value the time-saving features of Rainforest QA, appreciating swift testing and smooth integration into workflows.
  • Users appreciate the user-friendly interface of Rainforest QA, making test creation straightforward and efficient.
Cons
  • Users often face testing issues with Rainforest QA, including frequent failures and unresponsive UI elements affecting efficiency.
  • Users experience slow performance during test execution, especially with larger test suites, impacting efficiency and speed.
  • Users experience bug issues with Rainforest QA, leading to unreliable tests and increased manual fixes.
  • Users find the reporting inadequate, wishing for more detail and customization options in the results dashboard.
  • Users find poor UI hinders usability and complicates the retrieval of essential data in Rainforest QA.

What Are Recent G2 Reviews of Rainforest QA?

Zebrunner

Zebrunner is an AI-powered, unified platform that bridges the gap between manual and automated testing, enabling QA teams to work together seamlessly. Zebrunner Testing Platform leverages advanced AI to optimize and accelerate the testing process, from generating and autocompleting test cases to prioritizing failures and providing real-time insights. This unified approach ensures that all aspects of testing are integrated, streamlined, and aligned with your development cycle, ultimately leading to higher quality software and faster delivery times. Zebrunner Test Case Management is an integral component of the platform, offering a comprehensive solution for managing manual test cases. The tool simplifies test organization with features like split-screen navigation, customizable layouts, and drag-and-drop editing. Testers can gain real-time insights into their testing progress, quickly identifying and addressing blockers or failures. The integration of AI further accelerates the process by automating the creation and completion of test cases, allowing teams to focus on more critical tasks. Additionally, Zebrunner's customizable fields and filters enable tailored test management, ensuring that testing aligns with specific project requirements and goals. Zebrunner Automation Reporting is designed to empower teams with advanced reporting and analysis capabilities for their automated testing efforts. This module seamlessly integrates with existing test automation frameworks like TestNG, JUnit, PyTest, Cypress, and Playwright, or custom setups via REST API. It provides real-time insights into test execution, allowing teams to monitor progress, analyze failures, and access runtime artifacts such as logs and video recordings. By visualizing trends and metrics, Zebrunner helps teams identify areas for improvement and optimize their testing processes. The platform's robust reporting capabilities ensure that stakeholders have access to accurate and actionable data, facilitating smarter decision-making and continuous improvement in testing practices. In addition to its core features, Zebrunner offers rich integrations with tools like Jira, enabling bidirectional traceability and a unified workflow across testing and development teams. With its modular design, teams can choose to use the entire platform or select specific modules that best meet their needs. Zebrunner is also enterprise-ready, supporting large teams with features like role-based access control, Single Sign-On, and ISO 27001 certification for data security. This makes Zebrunner a scalable, secure, and efficient solution for organizations of all sizes looking to enhance their testing capabilities.

Average Rating: 5.0/5.0

Total Reviews: 23

How Do G2 Users Rate Zebrunner?

  • Reliability: 9.6/10 (Category avg: 8.7/10)
  • Thoroughness: 9.7/10 (Category avg: 8.7/10)
  • Test Feedback: 9.9/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.2/10)

Who Is the Company Behind Zebrunner?

  • Seller: Solvd
  • Year Founded: 2011
  • HQ Location: Walnut Creek, US
  • LinkedIn® Page: www.linkedin.com
    554 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Health, Wellness and Fitness, Computer Software
  • Company Size: 71% Medium, 25% Small

What Do G2 Reviewers Say About Zebrunner?

AI-generated summary from verified user reviews

Pros
  • Users find Zebrunner's ease of use remarkable, noting its intuitive interface and quick learning curve for all team members.
  • Users commend Zebrunner's intuitive user interface, making it easy for even novice users to navigate efficiently.
  • Users find Zebrunner's intuitive UI enhances usability, making it easy for all team members to navigate.
  • Users highlight the efficiency of automation in Zebrunner, streamlining test management and enhancing productivity.
  • Users value the time-saving features of Zebrunner, allowing for efficient test case management and seamless workflows.
Cons
  • Users find the difficult navigation in Zebrunner frustrating, especially when looking for themes and contrasting shades.
  • Users are frustrated by the inconsistent text formatting options and difficulty in locating a dark theme in Zebrunner.
  • Users report experiencing intermittent bug issues with Zebrunner that lead to occasional failures and disruptions.
  • Users find the interface and features overwhelming, particularly disadvantaging for new users getting started with Zebrunner.
  • Users find the difficult learning curve challenging, as the interface and features can feel overwhelming for newcomers.

What Are Recent G2 Reviews of Zebrunner?

BugBug

BugBug is an AI-assisted no-code end-to-end test automation tool for SaaS teams and web applications running on Chromium-based browsers. It helps product teams, QA engineers, and developers build reliable regression coverage faster, without locking their tests inside a proprietary platform. Teams can create tests visually or with AI agents and keep them as human-readable YAML, making test assets portable, reviewable, versionable, and accessible to engineering. With BugBug’s intuitive Chrome recorder, users can create tests by clicking through real user flows, then replay, edit, debug, rewind, and schedule them in the cloud, without the overhead of building and maintaining a full Playwright, Selenium, or Cypress framework. BugBug is built for teams that need to move from manual regression testing to automated coverage quickly. AI-assisted features such as Adaptive Locators, Smart Waiting, and Smart Click & Scroll help reduce flaky tests and maintenance caused by dynamic web interfaces. For more advanced scenarios, teams can use variables, custom JavaScript steps, conditional logic, reusable components, email inbox testing, visual regression, webhooks, CLI, CI/CD integrations, REST API access, Jira, and advanced reports, depending on the selected plan. BugBug’s pricing is designed for collaboration and predictable scaling. The Free plan lets users create tests and run unlimited local test executions. Paid plans add unlimited cloud runs, scheduling, alerts, and integrations, while Pro and Business plans include unlimited users, tests, projects, and suites. BugBug is best suited for SaaS companies, web-first product teams and QA teams, that want fast, maintainable regression coverage without hiring more QA or spending engineering time on test infrastructure. Speed up your testing process, catch bugs before release, and keep your web app working as expected with BugBug.

Average Rating: 4.7/5.0

Total Reviews: 31

How Do G2 Users Rate BugBug?

  • Reliability: 9.2/10 (Category avg: 8.7/10)
  • Thoroughness: 9.4/10 (Category avg: 8.7/10)
  • Test Feedback: 9.8/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.2/10)

Who Is the Company Behind BugBug?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 74% Small, 19% Medium

What Do G2 Reviewers Say About BugBug?

AI-generated summary from verified user reviews

Pros
  • Users find BugBug's ease of use exceptional, allowing beginners to quickly learn and execute tests effortlessly.
  • Users praise the reactive customer support of BugBug, highlighting quick and helpful responses to inquiries.
  • Users praise the ease of use of BugBug, appreciating its simple setup and intuitive interface for testing.
  • Users love the ease of use and automation capabilities of BugBug, finding it intuitive for all skill levels.
  • Users find Easy Implementation of BugBug effortless, enabling quick test recording with minimal setup required.
Cons
  • Users express frustration over missing features like loops and conditional steps, limiting complex test scenario creation.
  • Users report bug issues where tests fail unexpectedly, requiring reconstruction of steps for functionality to resume.
  • Users experience slow performance due to issues like long test runs and limited component reuse in tests.
  • Users find the complex configuration challenging due to missing critical features like loops and conditional branching.
  • Users find the lack of advanced features hampers their ability to create complex test scenarios effectively.

What Are Recent G2 Reviews of BugBug?

BitBar

"BitBar allows you to test your application across the latest and most popular real browsers and devices. Scale your testing by increasing test coverage and decreasing test execution time by running automated tests in parallel across browsers and devices. BitBar seamlessly integrates with your current tech stack or CI/CD pipeline. Don’t spend time managing environments – focus on what matters. Key Features: * BitBar offers one cloud for all testing platforms whether it be web, native, or hybrid applications. * Test your application across real environments without the need of maintaining a device lab. * Deploy your testing from your preferred cloud environment. * Your team will be able to scale the automation speed with Selenium and Appium cloud testing."

Average Rating: 4.1/5.0

Total Reviews: 34

How Do G2 Users Rate BitBar?

  • Reliability: 7.5/10 (Category avg: 8.7/10)
  • Thoroughness: 7.5/10 (Category avg: 8.7/10)
  • Test Feedback: 4.2/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)

Who Is the Company Behind BitBar?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 35% Medium, 32% Small

What Are Recent G2 Reviews of BitBar?

What Are G2 Users Discussing About BitBar?

Tricentis qTest

Tricentis qTest is an AI-driven test management platform designed to help enterprise organizations centralize, standardize, and scale their software testing operations. It is a type of test management solution that helps QA teams, project managers, and development leads plan, track, and report on testing activities across Agile, waterfall, and hybrid delivery methodologies. qTest provides a centralized repository for test cases, test plans, and test execution results, enabling teams to maintain visibility and control over testing across large, distributed projects. It integrates with the leading ALM, CI/CD, and defect management tools used across enterprise software delivery pipelines, including Jira, Azure DevOps, Jenkins, Bamboo, Cucumber, Selenium, and Rally. Key capabilities include: - AI-powered agentic test creation (qTest Copilot) that autonomously drafts and reuses test cases from natural-language requirements - Test case management supporting structured, exploratory, and automated test types, deployable in the cloud or on-premises - DevOps-native workflow integration for event-driven, automated testing processes - Exploratory testing with built-in recording, annotation, and session management - Behavior-driven development support through qTest Scenario, a Jira app that helps Agile teams scale BDD practices - Customizable dashboards and analytics for quality metrics, test coverage, and sprint velocity - Automated test orchestration and execution host management - Scaling to support thousands of test cases, multiple projects, and large distributed teams qTest is well suited for enterprise QA organizations transitioning from legacy test management tools, teams implementing AI-assisted quality practices, and organizations that need a single source of truth for testing across complex programs. Its reporting and analytics capabilities give program managers and quality leads the visibility needed to make informed decisions about release readiness and quality risk throughout the development lifecycle. qTest also integrates with Tricentis Tosca, enabling teams to sync manual test cases for automated execution, and with Tricentis Vera for organizations that need compliance validation alongside Agile software testing.

Average Rating: 4.3/5.0

Total Reviews: 103

How Do G2 Users Rate Tricentis qTest?

  • Reliability: 9.0/10 (Category avg: 8.7/10)
  • Thoroughness: 8.8/10 (Category avg: 8.7/10)
  • Test Feedback: 9.1/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)

Who Is the Company Behind Tricentis qTest?

  • Seller: Tricentis
  • Year Founded: 2007
  • HQ Location: Austin, Texas
  • LinkedIn® Page: www.linkedin.com
    1,679 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 28% Small

What Do G2 Reviewers Say About Tricentis qTest?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integrations of Tricentis qTest, enhancing their testing efficiency and workflow management.
  • Users value the seamless integration with Jira in Tricentis qTest, enhancing issue reporting and collaboration efficiency.
  • Users appreciate the ease of use of Tricentis qTest, benefiting from its centralized and efficient test management.
  • Users value the easy integrations of Tricentis qTest, facilitating seamless connections with tools like Jira for enhanced efficiency.
  • Users value the centralized test management of Tricentis qTest, enhancing integration and collaboration with development teams.
Cons
  • Users often face slow performance in Tricentis qTest, especially when dealing with large test cases and data sets.
  • Users find the UI outdated and slow, which can hinder productivity and complicate project management tasks.
  • Users find reporting options limited, making it challenging to extract detailed insights without additional effort.
  • Users struggle with integration issues in Tricentis qTest, finding setup complicated and time-consuming.
  • Users experience setup difficulties with Tricentis qTest, particularly when configuring advanced integrations and reporting options.

What Are Recent G2 Reviews of Tricentis qTest?

What Are G2 Users Discussing About Tricentis qTest?

Applitools

Applitools is a test automation platform that helps engineering teams release software with confidence by replacing the guesswork of probabilistic AI with deterministic, reproducible test results. As organizations ship AI-influenced code faster, they face a growing visibility problem: AI-generated code validated by opaque AI agents creates a cycle of unquantifiable risk. Applitools provides a deterministic, outside vantage point, comparing your evolving product against a trusted production baseline to deliver a verifiable Go/No-Go signal at every release. At the core of the platform is a Deterministic Language Model (DLM) combined with Visual AI. The DLM converts plain English test intent into repeatable, debuggable steps with no LLM involvement at runtime, eliminating AI drift and flaky CI results. Visual AI replaces brittle DOM assertions with single-line visual snapshots that simulate how a real user sees your application, filtering out rendering noise and surfacing actual regressions. Together, they eliminate the maintenance tax of legacy test automation, shifting engineering time away from fixing broken scripts and toward building better test coverage. Core capabilities: - Visual AI testing replaces brittle DOM assertions with single-line visual snapshots that simulate how a real user sees your application, filtering out rendering noise and surfacing actual regressions - Deterministic Language Model (DLM) converts plain English test intent into repeatable, debuggable steps with no LLM involvement at runtime, eliminating AI drift and flaky CI results - Cross-browser and cross-device test coverage runs across thousands of browser and device combinations without local grid infrastructure or maintenance overhead - Framework-native SDKs integrate directly into Selenium, Cypress, Playwright, Appium, and Storybook, so teams keep existing tooling and workflows - Automated baseline management groups related visual differences across browsers and resolutions for bulk one-click acceptance, reducing test maintenance as suites scale Applitools supports functional, visual, accessibility, API, component, and data-driven testing across web, mobile, desktop, PDFs, and documents, providing a consistent quality signal from design through production.

Average Rating: 4.3/5.0

Total Reviews: 90

How Do G2 Users Rate Applitools?

  • Reliability: 8.5/10 (Category avg: 8.7/10)
  • Thoroughness: 8.8/10 (Category avg: 8.7/10)
  • Test Feedback: 8.9/10 (Category avg: 8.8/10)
  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)

Who Is the Company Behind Applitools?

  • Seller: Applitools
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Reston, US
  • LinkedIn® Page: www.linkedin.com
    121 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 39% Medium, 37% Large

What Do G2 Reviewers Say About Applitools?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Applitools, praising its simple integration and intuitive dashboard for visual testing.
  • Users value the automation capabilities of Applitools, streamlining visual testing and enhancing workflow efficiency significantly.
  • Users value the browser variety support in Applitools, enhancing their testing across different platforms effectively.
  • Users praise the easy integrations of Applitools, enhancing workflow efficiency with automation tools like Selenium.
  • Users value the efficiency improvement provided by Applitools, significantly reducing manual testing time with accurate results.
Cons
  • Users find the complexity of Applitools challenging, particularly in setup, maintenance, and understanding baseline management.
  • Users express concerns about the expensive pricing of Applitools, which may limit accessibility for smaller teams.
  • Users find the UI clunky, hindering their experience with Applitools despite its powerful features and capabilities.
  • Users find the difficult learning curve of Applitools to be a significant barrier when starting with the tool.
  • Users find the difficult navigation of the web interface for tests frustrating and not intuitive.

What Are Recent G2 Reviews of Applitools?

What Are G2 Users Discussing About Applitools?

Adam Crivello
AC
Researched and written by Adam Crivello
Updated March 3, 2025