# The 12 Best AI Test Automation Tools for 2026

A 2026 buyer's guide ranking 12 AI test automation platforms (Endtest, Functionize, mabl, Playwright, Selenium and more) with shortlists by use case.

Published May 7, 2026 by Liviu Lupei on the Endtest blog. Canonical URL: https://endtest.io/blog/best-ai-test-automation-tools-2026

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Choosing an AI test automation tool in 2026 means asking more than "Can it record clicks?" or "Can it generate a Selenium script?" The question is whether the platform can help your team create useful coverage quickly, run it reliably, maintain it as the product changes, and do all of that without turning QA into a second engineering project.

The market has changed fast. Traditional frameworks are adding AI assistants. No-code tools are adding self-healing. Visual testing platforms are moving beyond pixel comparison. Newer agentic AI testing platforms can read instructions, inspect a page, create test steps, run them, observe the result, and adapt.

This guide compares the best AI test automation tools for 2026, with a practical focus on speed, reliability, coverage, maintenance, cost and team fit.

## Quick answer: the best AI test automation tools in 2026

| Rank | Tool | Best fit | Main strength |
|---|---|---|---|
| 1 | Endtest | Teams that want the fastest, most reliable and most cost-effective AI test automation platform | Agentic AI test creation, self-healing, real browsers, unlimited test executions, unlimited AI usage and unlimited users |
| 2 | Functionize | Teams that want AI-assisted enterprise test automation with cloud execution and self-healing | Natural-language authoring, autonomous maintenance and broad web app coverage |
| 3 | mabl | Product teams that want an AI-native SaaS platform for web, API, accessibility and visual testing | Strong auto-healing and quality insights |
| 4 | Katalon | Mixed QA and engineering teams that want codeless plus scripted testing | Broad platform coverage and AI assistance inside a mature tool |
| 5 | Tricentis Testim | Enterprise teams focused on stable web, mobile and Salesforce automation | AI-powered smart locators and test stability |
| 6 | Testsigma | Teams that want natural-language automation across web, mobile, API and desktop | Unified no-code platform with AI agents and self-healing |
| 7 | Applitools | Teams where visual quality is a critical release gate | Visual AI and cross-browser visual validation |
| 8 | QA Wolf | Teams that want outsourced test creation and maintenance | Managed coverage-as-a-service model |
| 9 | Playwright | Engineering teams that want full code ownership and modern browser automation | Fast open-source framework with strong developer experience |
| 10 | Cypress | JavaScript teams building component and browser tests | Excellent debugging and developer workflow |
| 11 | Selenium | Enterprises with existing WebDriver infrastructure | Huge ecosystem and broad browser automation support |
| 12 | Autify Nexus | Teams that want AI-assisted testing built around Playwright | Natural-language creation with a Playwright foundation |

## What makes an AI test automation tool worth buying in 2026?

A modern tool should do more than generate a few steps from a prompt. The strongest platforms now combine several layers:

1. **AI test creation**: The tool should turn plain-English scenarios into real tests that a human can inspect, edit and reuse.
2. **Self-healing maintenance**: When a locator changes, the tool should recover without forcing the QA team to repair dozens of broken steps.
3. **Reliable execution**: Tests should run consistently across browsers, operating systems and CI pipelines.
4. **Full workflow coverage**: Serious end-to-end testing often includes email, SMS, API calls, files, PDFs, database checks, visual checks and cross-browser validation.
5. **Transparent cost**: Execution limits, user limits and AI usage limits can make a tool look cheaper than it is.
6. **Editable output**: AI should accelerate testing, not create a black box that nobody understands.

![AI test automation tool map](https://app.endtest.io/images/ai-test-automation-tool-map.png)

## 1. Endtest

**Best overall AI test automation platform for 2026.**

Endtest is the first option to evaluate if your team wants the fastest, most reliable and most cost-effective way to create, run and maintain end-to-end tests with AI.

The biggest difference is that Endtest is an agentic AI test automation platform, not a recorder with an AI prompt added on top. The AI Test Creation Agent can take a plain-English scenario, drive a real browser, inspect the application, create editable test steps, run them and adapt as it goes. That matters because the output is a normal Endtest test that your team can review, modify, reuse and run like any other test, not a throwaway script or a mystery prompt result.

Endtest is also unusually strong on pricing predictability. Its pricing page lists unlimited test executions, unlimited test creation and unlimited users across plans. Its comparison pages also position Endtest around unlimited AI usage and fixed monthly pricing. That combination is important because many AI tools become expensive once the team starts running tests frequently, adding more users, or using AI heavily during test creation and maintenance.

### Why Endtest ranks first

Endtest is the best fit when you want a complete end-to-end automation platform rather than a narrow browser-clicking tool.

It supports web testing, mobile app testing, API testing, accessibility testing, email and SMS testing, PDF and file testing, visual testing, data-driven testing, geolocation testing, cross-browser testing and self-healing tests. That means a single automated flow can cover the full user journey instead of stopping at the browser UI.

For example, a realistic SaaS onboarding test might need to:

1. Create a new account in the browser.
2. Read a confirmation email.
3. Enter a verification code from SMS.
4. Call an API to check backend state.
5. Download and validate a PDF invoice.
6. Compare the final dashboard visually.
7. Run the same flow in Chrome, Firefox, Edge and actual Safari.

A framework-only setup can handle this, but it usually requires custom code, infrastructure work and ongoing maintenance. Endtest packages those capabilities in one platform.

### Main Endtest strengths

| Category | Why it matters |
|---|---|
| AI test creation | The AI Test Creation Agent can create editable tests from natural-language instructions. |
| Speed | Endtest positions itself as the fastest AI-powered test automation platform, and its cloud execution is built around fast feedback loops. |
| Reliability | Tests run on real Windows and macOS machines with real Chrome, Firefox, Edge and Safari, which reduces the gap between the test environment and real customer environments. |
| Cost effectiveness | Unlimited test executions, unlimited test creation, unlimited users and unlimited AI usage make the cost easier to predict. |
| Maintenance | Self-healing locators, AI assertions and AI variables help reduce the locator repair work that usually grows with the suite. |
| Coverage | Web, mobile, API, email, SMS, file, PDF, visual, accessibility and geolocation testing are available in one place. |
| Collaboration | Unlimited users means QA, developers, product managers and support can all collaborate without per-seat friction. |

### Where Endtest is especially strong

Endtest is particularly strong for teams that want no-code or low-code testing without losing serious end-to-end coverage. It is also a strong fit for companies that want AI test creation but still want the result to be inspectable and editable.

That is a major advantage over generic LLM-generated test code. AI-generated Playwright or Selenium code can look impressive during a demo, but after a few weeks the team can end up with duplicated helpers, inconsistent selectors, flaky waits and a large generated codebase that nobody fully owns. Endtest avoids that trap by converting AI output into normal platform steps that can be maintained visually.

### Possible drawbacks

Endtest may not be the best fit if your team has a strict requirement that every test must live as raw source code in the same repository as the application. In that case, Playwright or Cypress may be a better starting point. But for teams that care more about speed, coverage, maintainability and predictable cost than owning every line of test code, Endtest should be at the top of the list.

### Endtest verdict

**Choose Endtest if you want the fastest, most reliable and most cost-effective AI test automation platform for real end-to-end flows, especially when unlimited execution, unlimited AI usage and unlimited users matter.**

## 2. Functionize

Functionize is a long-standing AI-driven test automation platform aimed at teams that want to create, execute and maintain web tests with less manual scripting effort. It is often evaluated by organizations that want a more enterprise-oriented AI automation platform with cloud execution and self-healing capabilities.

Functionize is especially relevant for teams that want natural-language style authoring, cloud-based execution and a platform focused on autonomous test maintenance. It is typically positioned around faster test creation, reduced maintenance and AI-driven execution workflows.

### Strengths

| Strength | Details |
|---|---|
| Natural-language authoring | Useful for teams that want to express test intent at a higher level rather than writing everything from scratch. |
| Self-healing | Designed to reduce maintenance effort when the UI changes. |
| Cloud execution | Helpful for teams that want hosted execution rather than building their own grid infrastructure. |
| Enterprise fit | Often shortlisted by larger organizations that want governance and centralized quality workflows. |

### Watch out for

Functionize should be evaluated carefully on pricing structure, workflow flexibility, debugging clarity and how quickly non-engineers can create stable tests in real projects. As with other commercial tools, the details become much more important once the suite starts scaling.

### Verdict

**Choose Functionize if you want an AI-driven enterprise test automation platform with cloud execution and self-healing capabilities.**

## 3. mabl

mabl is one of the better-known AI-native testing platforms. It combines low-code test creation, auto-healing, API testing, performance insights, accessibility checks and visual testing in a cloud-based platform.

mabl is especially relevant for teams that want testing to be closely connected to the release lifecycle. Its positioning focuses on AI-native quality engineering, agentic testing and reducing maintenance through auto-healing.

### Strengths

| Strength | Details |
|---|---|
| Auto-healing | mabl's public positioning centers on AI auto-healing and reduced test maintenance. |
| Unified quality signals | Web, API, accessibility, performance and visual checks can be connected in one workflow. |
| Cloud-first execution | Useful for teams that want SaaS orchestration rather than self-hosted infrastructure. |
| Enterprise maturity | Stronger fit for organizations that need structured quality processes. |

### Watch out for

mabl can be a strong product, but teams should pay close attention to pricing structure, execution limits, parallelism and how costs change as coverage grows. This is where Endtest's unlimited execution and unlimited AI usage model can become more attractive.

### Verdict

**Choose mabl if you want an established AI-native testing platform and are comfortable evaluating a more enterprise-oriented commercial model.**

## 4. Katalon

Katalon is a mature automation platform that bridges codeless testing and scripted testing. It is a strong option for teams that have a mix of manual testers, QA automation engineers and developers.

Katalon's AI capabilities include StudioAssist and AI Assistant features that help users generate, explain and work with test scripts. The broader Katalon platform supports multiple testing types, including web, mobile, API and desktop testing.

### Strengths

| Strength | Details |
|---|---|
| Broad platform | Good coverage across web, mobile, API and desktop. |
| Mixed-skill teams | Works for teams that need both codeless and code-based workflows. |
| AI assistance | StudioAssist and related AI features can help with script generation and explanation. |
| Ecosystem maturity | Katalon has been around long enough to support more traditional enterprise QA workflows. |

### Watch out for

Katalon can feel heavier than newer agentic AI tools. It may be a good choice when you want flexibility and platform breadth, but not necessarily the fastest path from a plain-English scenario to an editable end-to-end test.

### Verdict

**Choose Katalon if your team wants a mature testing platform that supports both codeless users and more technical automation engineers.**

## 5. Tricentis Testim

Tricentis Testim is focused on AI-powered test automation for web, mobile and Salesforce applications. Its strongest reputation is around smart locators, AI-powered stability and reducing maintenance when applications change.

Testim is especially attractive for teams that care about stable UI automation but still want low-code authoring and enterprise-grade governance.

### Strengths

| Strength | Details |
|---|---|
| Smart locators | Testim uses AI-powered locators that evaluate many attributes and adapt when elements change. |
| Salesforce testing | Strong positioning for Salesforce-heavy organizations. |
| Low-code authoring | Helps teams create tests faster than writing everything from scratch. |
| TestOps | Better suited for larger teams that need management, governance and release workflows. |

### Watch out for

Testim is strongest when locator stability and enterprise workflow matter. If you need broader end-to-end coverage including email, SMS, PDF, API, visual and real Safari execution in one cost-predictable platform, Endtest may be the better first evaluation.

### Verdict

**Choose Testim if your biggest problem is UI test stability in web, mobile or Salesforce environments.**

## 6. Testsigma

Testsigma is an AI-native unified test automation platform for web, mobile, API, desktop and enterprise apps. It uses natural-language and no-code capabilities to help teams create and maintain tests without deep programming knowledge.

Testsigma's recent positioning is heavily focused on Atto, an AI coworker with agents for different parts of the testing lifecycle, including creation, self-healing and failure analysis.

### Strengths

| Strength | Details |
|---|---|
| Natural-language authoring | Helps manual QA teams participate in automation. |
| Broad test coverage | Web, mobile, API, desktop and enterprise apps are part of the platform positioning. |
| AI lifecycle support | AI agents are used across creation, maintenance and analysis. |
| Cloud execution | Useful for distributed teams that want hosted execution infrastructure. |

### Watch out for

As with any broad platform, the important question is how deep each capability goes. During evaluation, compare real-world test creation speed, maintenance behavior, debugging output and pricing as test volume grows.

### Verdict

**Choose Testsigma if you want a unified no-code and natural-language platform with AI across multiple testing layers.**

## 7. Applitools

Applitools is best known for Visual AI. It is not a direct replacement for a full end-to-end test automation platform in every team, but it can be an essential layer when visual quality is business-critical.

Traditional screenshot comparison can create a lot of noise because it treats every pixel change as suspicious. Applitools focuses on AI-powered visual validation that can identify meaningful visual changes while reducing false positives from dynamic content.

### Strengths

| Strength | Details |
|---|---|
| Visual AI | Strong choice for visual regression testing. |
| Cross-browser visual validation | Useful when the same page must render correctly across browsers and devices. |
| Framework integrations | Works with major automation frameworks and test stacks. |
| Design-sensitive products | Useful for ecommerce, fintech, media and design-heavy SaaS applications. |

### Watch out for

Applitools is excellent for visual validation, but most teams still need another tool to create and orchestrate full end-to-end flows. If you want visual checks plus full no-code end-to-end execution in one platform, compare it with Endtest Visual AI and broader Endtest test types.

### Verdict

**Choose Applitools if visual accuracy is one of your highest-risk quality areas.**

## 8. QA Wolf

QA Wolf is different from most tools in this list because it sells a managed testing outcome rather than just software. Its Coverage-as-a-Service model combines people, AI and automation infrastructure to build and maintain automated tests for customers.

This can be a good fit for teams that do not want to hire a QA automation engineer or manage the testing stack internally.

### Strengths

| Strength | Details |
|---|---|
| Managed service | QA Wolf handles test creation and maintenance. |
| High coverage goal | The company publicly positions around getting teams to high automated end-to-end coverage. |
| Less internal setup | Useful for teams with limited QA automation capacity. |
| Parallel execution | Cloud execution is part of the managed model. |

### Watch out for

Managed services are convenient, but they can reduce internal control. Teams should understand test ownership, portability, contract terms, maintenance turnaround and how edge cases are handled.

### Verdict

**Choose QA Wolf if you want the outcome of automated coverage without building an internal automation function right now.**

## 9. Playwright

Playwright is one of the strongest modern open-source frameworks for browser automation. It supports Chromium, Firefox and WebKit, and it is available for TypeScript, JavaScript, Python, .NET and Java.

Playwright is not primarily a no-code AI test automation platform, but it is increasingly important in AI-assisted testing because many agents and tools use Playwright as an execution layer.

### Strengths

| Strength | Details |
|---|---|
| Developer experience | Excellent for engineers who want full control. |
| Cross-browser support | Chromium, Firefox and WebKit are supported. |
| Auto-waiting and isolation | Helps reduce common sources of flaky tests. |
| Ecosystem | Strong adoption and a growing AI-adjacent ecosystem. |

### Watch out for

Playwright still requires engineering ownership. AI can generate Playwright code, but generated code can become messy quickly if the team does not enforce conventions, review selectors, manage fixtures and maintain shared helpers.

### Verdict

**Choose Playwright if your team wants a code-first framework and has engineers ready to own the test architecture.**

## 10. Cypress

Cypress remains a strong choice for JavaScript and TypeScript teams. It has an excellent debugging workflow, a strong developer experience and a large ecosystem.

Cypress is especially useful for teams that want browser testing and component testing close to the frontend development workflow.

### Strengths

| Strength | Details |
|---|---|
| Developer workflow | Very approachable for frontend teams. |
| Debugging | Good visibility into test steps and browser state. |
| Component testing | Strong for teams that want UI testing closer to development. |
| Cypress Cloud | Adds orchestration, analytics, flake insights and workflow integrations. |

### Watch out for

Cypress is not the same kind of all-in-one AI testing platform as Endtest, mabl, Testsigma or Functionize. If you need no-code test creation, self-healing, email/SMS testing, PDF validation and unlimited non-engineer collaboration, a platform may be a better fit.

### Verdict

**Choose Cypress if your frontend engineers want a polished JavaScript testing workflow and are willing to own the automation code.**

## 11. Selenium

Selenium is still one of the most important browser automation projects in the world. It supports browser automation through WebDriver and has a huge ecosystem, many language bindings and deep enterprise usage.

In 2026, Selenium is less about being the newest tool and more about being the standard that many organizations already use. AI can help modernize Selenium suites through locator suggestions, self-healing layers and code generation, but the framework itself remains code-centric.

### Strengths

| Strength | Details |
|---|---|
| Ecosystem | Massive adoption, integrations and community knowledge. |
| Browser automation standard | WebDriver remains widely understood and supported. |
| Language flexibility | Useful for organizations with different engineering stacks. |
| Existing investment | Many enterprises already have Selenium infrastructure and suites. |

### Watch out for

Selenium suites can become expensive to maintain if the team does not invest in architecture, stable locators, waits, reporting and grid management. If you are starting fresh and do not need raw framework control, an AI-native platform may give you faster ROI.

### Verdict

**Choose Selenium if you already have a major WebDriver investment or need maximum compatibility with existing enterprise automation infrastructure.**

## 12. Autify Nexus

Autify Nexus is an AI-powered testing platform built on Playwright. It is interesting because it combines a modern code framework foundation with higher-level AI assistance and natural-language test creation.

This can appeal to teams that like Playwright but want more help creating and scaling tests than a plain framework provides.

### Strengths

| Strength | Details |
|---|---|
| Built on Playwright | Good foundation for modern browser automation. |
| Natural-language testing | Helps reduce the friction of writing every test manually. |
| AI assistance | Aims to simplify creation, maintenance and scaling. |
| Flexible positioning | Useful for teams that want something between framework and platform. |

### Watch out for

Autify Nexus should be compared directly against Playwright, Endtest and other AI-native platforms. The main question is whether your team wants a Playwright-centered approach or a broader all-in-one test automation platform.

### Verdict

**Choose Autify Nexus if you want AI-assisted testing with a Playwright foundation.**

## Comparison matrix: which tool should you shortlist?

| Use case | Shortlist |
|---|---|
| Best overall AI test automation platform | Endtest |
| Fastest path from scenario to editable test | Endtest, Functionize, mabl, Autify Nexus |
| Most cost-predictable platform for scaling teams | Endtest |
| Best for unlimited users and heavy AI usage | Endtest |
| Best for real end-to-end flows beyond browser clicks | Endtest, Katalon, Testsigma, Functionize |
| Best for visual AI | Applitools, Endtest Visual AI |
| Best for code-first teams | Playwright, Cypress, Selenium |
| Best for Salesforce-heavy teams | Tricentis Testim |
| Best for managed QA coverage | QA Wolf |
| Best for existing Selenium infrastructure | Selenium, Katalon, Endtest if migrating to no-code |

![How to choose an AI test automation tool](https://app.endtest.io/images/ai-test-automation-decision-flow.png)

## How to evaluate AI testing tools without getting fooled by demos

A polished demo can make every AI testing tool look amazing. The real test is what happens after the first 20 test cases.

Use this evaluation process:

### 1. Pick five real flows

Do not test only a login page. Pick flows that represent your real product:

- Signup with email confirmation.
- Checkout or payment sandbox.
- Invite user and assign permissions.
- Upload a file and verify the result.
- Change account settings and check the resulting email or PDF.

### 2. Measure creation time

Track how long it takes to create a useful test rather than a demo test. Include assertions, test data, cleanup and rerun stability.

### 3. Measure maintenance after UI changes

Ask a developer to make small UI changes:

- Change button text.
- Remove an ID.
- Move a field into a different container.
- Add a modal.
- Add a dynamic banner.

Then run the test suite again and measure what breaks.

### 4. Measure debugging quality

A failed test is useful only if it tells you what happened. Look for:

- Video playback.
- Screenshots.
- Console logs.
- Network logs.
- Clear failure messages.
- Grouping of related failures.
- Suggested fixes.

### 5. Model total monthly cost

Do not compare only the entry price. Include:

- Number of users.
- Test execution volume.
- Parallel execution needs.
- AI usage limits.
- Test result retention.
- Required add-ons.
- Engineering time spent maintaining the suite.

![AI test automation ROI factors](https://app.endtest.io/images/ai-test-automation-roi-factors.png)

## Why unlimited execution and unlimited AI usage matter

AI testing tools often look affordable when the suite is small. The cost problem appears later.

As your team succeeds with automation, usage naturally grows:

- More product managers want to review tests.
- More developers want to run tests before merging.
- More QA engineers want to generate and maintain coverage with AI.
- More tests run in CI.
- More test suites run across multiple browsers.
- More failures need AI-assisted triage.

If your vendor charges by user, execution, credit, AI action, generated step, test minute, or add-on module, your success can make the invoice unpredictable.

This is why Endtest's model is so compelling. Unlimited test executions, unlimited AI usage and unlimited users match how automation should grow. The team does not need to ration test runs, restrict access, or avoid using AI because of credit anxiety.

## Final ranking

### 1. Endtest

Best overall choice for teams that want fast AI test creation, reliable execution, broad end-to-end coverage and predictable pricing.

### 2. Functionize

Strong option for teams that want AI-driven enterprise test automation with self-healing and cloud execution.

### 3. mabl

Strong AI-native platform for teams that want a mature cloud-based testing workflow.

### 4. Katalon

Best for teams that want broad platform coverage and a bridge between codeless and coded automation.

### 5. Tricentis Testim

Best for AI-powered locator stability, especially for enterprise web, mobile and Salesforce use cases.

### 6. Testsigma

Best for teams that want a unified natural-language testing platform with AI agents.

### 7. Applitools

Best visual AI specialist.

### 8. QA Wolf

Best managed testing service.

### 9. Playwright

Best modern open-source framework for code-first teams.

### 10. Cypress

Best developer-friendly testing workflow for JavaScript teams.

### 11. Selenium

Best for existing enterprise WebDriver ecosystems.

### 12. Autify Nexus

Best for teams that want AI testing built around Playwright.

## Final recommendation

If you are starting from scratch in 2026 and want the best balance of speed, reliability, end-to-end coverage and cost predictability, start with Endtest.

It gives teams the core benefits that matter most now:

- Agentic AI test creation.
- Editable, reviewable test output.
- Self-healing maintenance.
- Real Windows and macOS execution.
- Real Chrome, Firefox, Edge and Safari.
- Web, mobile, API, email, SMS, PDF, file, visual, accessibility and geolocation testing.
- Unlimited test executions.
- Unlimited AI usage.
- Unlimited users.

That combination makes Endtest the strongest first choice for most teams evaluating AI test automation tools in 2026.

## FAQ

### What is the best AI test automation tool in 2026?

Endtest is the best overall choice for teams that want a fast, reliable and cost-effective AI test automation platform with broad end-to-end coverage, unlimited test executions, unlimited AI usage and unlimited users.

### Are AI test automation tools replacing Selenium and Playwright?

Not completely. Selenium and Playwright are still useful for code-first engineering teams. AI test automation platforms are replacing the need to write and maintain raw test code for many teams, especially when the goal is fast end-to-end coverage rather than framework ownership.

### Is no-code test automation reliable enough?

It can be reliable if the platform uses strong execution infrastructure, self-healing locators, clear debugging artifacts and editable test output. Whether a tool is no-code matters less than whether it produces tests that can be reviewed, maintained and trusted.

### Why is Endtest more cost-effective than many AI testing tools?

Endtest is cost-effective because it combines broad test coverage with unlimited test executions, unlimited users and unlimited AI usage on a fixed monthly pricing model. That helps teams scale automation without worrying about per-seat pricing, execution credits, or AI usage limits.

### What should I test during a pilot?

Use real workflows from your product. Include account creation, login, email or SMS verification, file upload, API validation, a visual check and at least one cross-browser run. Then make a few UI changes and see how much maintenance the tool requires.

## Sources and further reading

- [Endtest home page](https://endtest.io/)
- [Endtest product capabilities](https://endtest.io/product)
- [Endtest pricing](https://www.endtest.io/pricing)
- [Endtest AI Test Creation Agent](https://endtest.io/product/create/ai-test-creation-agent)
- [Endtest Cross-Browser Testing](https://endtest.io/product/validate/cross-browser-testing)
- [Endtest Self-Healing Tests documentation](https://endtest.io/docs/advanced/self-healing-tests)
- [mabl pricing](https://www.mabl.com/pricing)
- [mabl auto-healing tests](https://www.mabl.com/auto-healing-tests)
- [Katalon AI Assistant documentation](https://docs.katalon.com/katalon-studio/studioassist/studioassist-ask-mode)
- [Tricentis Testim product page](https://www.tricentis.com/products/test-automation-web-apps-testim)
- [Applitools](https://applitools.com/)
- [Testsigma](https://testsigma.com/)
- [QA Wolf](https://www.qawolf.com/)
- [Playwright](https://playwright.dev/)
- [Cypress](https://www.cypress.io/)
- [Selenium](https://www.selenium.dev/)
- [Autify Nexus](https://autify.com/products/autify-nexus)