Compare the Top Continuous Testing Tools that integrate with Bitbucket as of October 2025

This a list of Continuous Testing tools that integrate with Bitbucket. Use the filters on the left to add additional filters for products that have integrations with Bitbucket. View the products that work with Bitbucket in the table below.

What are Continuous Testing Tools for Bitbucket?

Continuous testing tools are software platforms designed to automate and streamline the testing process for applications and systems. These tools are used to continuously test code changes, ensuring that new features do not impact existing functionality. They typically integrate with development workflows, allowing for quick feedback on code changes. Continuous testing tools often include features such as unit testing, integration testing, and regression testing to thoroughly assess the quality of code. Overall, these tools are an essential component of the modern software development process, helping teams deliver high-quality products more efficiently. Compare and read user reviews of the best Continuous Testing tools for Bitbucket currently available using the table below. This list is updated regularly.

  • 1
    Boozang

    Boozang

    Boozang

    Build. Test. Automate. Empower your whole team to build and maintain automated tests, not just developers. Meet your testing demands fast. Get full test coverage in days, not months. Our natural-language tests are extremely stable to code changes. When tests break our AI will repair it in minutes. Go Agile/DevOps by setting up Continuous Testing. Push features in production the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)
    Starting Price: $249 USD / month / user
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  • 2
    Appcircle

    Appcircle

    Appcircle

    Automated Mobile DevOps platform for continuous integration, continuous delivery and continuous testing of mobile apps. Enterprise-Grade Control and Flexibility. Appcircle is a NoOps Platform. No need for dedicated DevOps resources and know-how. Reduce your operational costs by up to 20%. Automate and streamline your continuous integration and continous delivery processes for mobile app development. Automation Done Right. No need for manual coding and constant monitoring for build automation and no need for a Mac or any other specific environment for builds. With different types of triggers, you have extensive control over when to get a build after a git push. Hassle-free Setup. Customize your build settings with a streamlined user interface with one-click access to all commonly used settings. Easy to setup, easy to use.
    Starting Price: $39 per month
  • 3
    LambdaTest

    LambdaTest

    LambdaTest

    LambdaTest is a cloud-based testing platform that provides developers with tools to perform automated and manual cross-browser testing, mobile app testing, and visual regression testing. It supports over 3,000 browser versions and real devices, ensuring seamless performance across platforms. LambdaTest’s AI-driven features, such as test orchestration through HyperExecute and its native test intelligence, help teams reduce test execution time and enhance productivity. The platform also includes tools like Selenium, Cypress, and Appium integrations, enabling rapid and efficient test creation for both web and mobile applications.
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    Starting Price: $15.00/month
  • 4
    Cerberus Testing

    Cerberus Testing

    Cerberus Testing

    Cerberus Testing is a low-code software testing automation enabling continuous testing at scale. Using the solution you can remove years of implementing an internal testing framework. The product enables you to quickly iterate through your testing lifecycle, from test repository, execution, reporting and analytics. The solution allows the collaboration of the teams from the use-cases definition to the test case execution on the variety of browsers, devices, apps and APIs. You can leverage your own or external robots infrastructure to execute your test at scale, enabling you to focus on your business value. It supports various integrations for speed of implementation such as Jenkins, Bitbucket, Slack, Kafka. It is available and maintained in open-source by various digital and retail players such as La Redoute, Decathlon, Adeo, and Norauto.
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    Starting Price: €0
  • 5
    BrowserStack

    BrowserStack

    BrowserStack

    BrowserStack is the world’s largest cloud platform for software testing, with 19 global data centers & 20,000+ real Android and iOS devices that power nearly 1 Billion tests a year. BrowserStack's end-to-end unified testing platform is focused on supporting all genres of testing & operations, from functional testing to visual testing, accessibility testing, performance testing, test observability, API testing, and more. Over 50,000 customers, including Amazon, Paypal, Well Fargo Bank, Nvidia, MongoDB, Pfizer, GE, Discovery, React JS, Apache, JQuery and several others rely on BrowserStack to test their web & mobile apps.
    Starting Price: $29/month/user
  • 6
    Digital.ai Continuous Testing
    Test the new functionality of your mobile application by interacting with physical mobile devices in real-time from your browser. Create & execute hundreds of manual or automated tests in parallel on 1,000+ real IOS & Android devices in the cloud. Create Appium tests with ease directly from your IDE and enjoy real-time interaction and live debugging. Access visual test reports and advanced analytics. Automate your cross-browser testing by running Selenium tests on 1,000+ browser types, versions, and operating systems. Interact with your app in real-time and debug it. Perform visual testing to verify UI responsiveness across different resolutions. Intuitively develop new Appium tests or execute existing projects using Appium Studio. Easily test on iOS devices using a Windows machine, and enjoy advanced testing capabilities. Digital.ai Continuous Testing enables enterprises to test at scale, increase test coverage, and make data-driven decisions to deliver high-quality apps.
    Starting Price: $49 per month
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    Launchable

    Launchable

    Launchable

    You can have the best developers in the world, but every test is making them slower. 80% of your software tests are pointless. The problem is you don't know which 80%. We find the right 20% using your data so that you can ship faster. We have shrink-wrapped predictive test selection, a machine learning-based approach being used at companies like Facebook so that it can be used by any company. We support multiple languages, test runners, and CI systems. Just bring Git to the table. Launchable uses machine learning to analyze your test failures and source code. It doesn't rely on code syntax analysis. This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages.
  • 8
    NeoLoad

    NeoLoad

    Tricentis

    Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.
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