8 BEST Open Source Automation Testing Tools (2025)
Michael Thompson
Reliable software delivery depends significantly on thorough testing. My professional journey underscores the importance of open-source testing tools, essential for comprehensive test execution, planning, and defect management. These solutions optimize productivity, accuracy, and quality assurance outcomes. As automation testing increasingly integrates with DevOps practices, choosing superior open-source automation testing tools empowers developers to confidently build robust, error-free applications, enhancing overall user satisfaction.
With extensive experience and after spending over 100 hours examining and comparing more than 30 top open source testing tools, I gained insightful perspectives on their features, pricing models, pros and cons. Notably, my time with various free and paid software clarified which tools consistently delivered accurate results. This credible and professional review offers carefully verified, up-to-date recommendations, ensuring a safe, go-to source for automation testers. Read more…
Jira Software is a Continues Integration tool which also used for DevOps testing. It performs the automatic build, test, and releases in a single place. It supports many technologies and languages like Ducker, Git, SVN, Mercurial, and Amazon S3 buckets.
BEST Free Open Source Testing Tools
| Name | Best Use Case | Type of Testing Supported | Integration Capabilities | Primary Platform | Link |
|---|---|---|---|---|---|
👍 Jira Software |
Test project management | Test management, DevOps, CI/CD | High (Bitbucket, Git, etc.) | Web, Cloud, On-premises | Learn More |
 👍 Monday Dev |
Test project management | Slack, Jira, Figma, Zoom, etc. | High (Bitbucket, Git, etc.) | iOS, Android, Cloud, On-premises | Learn More |
 Selenium |
Web app automation | Functional, UI, Regression | High (CI/CD, cloud grids) | Web browsers (multi-OS) | Learn More |
 Appium |
Mobile automation (apps, devices) | Mobile (native, hybrid, web) | Integrates with Selenium & CI tools | iOS, Android, Windows | Learn More |
 Apache JMeter |
Performance/load testing | Load, performance, functional | Integrates with Jenkins, etc. | Java desktop (cross-platform) | Learn More |
 Testlink |
Centralized test documentation | Test case & plan management | Integrates with Jira, Selenium, CI | Web-based | Learn More |
1) Jira Software
Jira Software caught my attention as a reliable Open Source Testing tool that smoothly brings build, test, and release steps together. I have seen it connect with Docker, Git, SVN, and AWS S3 effortlessly. I particularly appreciate how it embeds test automation—like Xray—straight into CI/CD, making tracking results against issues a breeze. It allowed me to maintain structure and visibility with minimal friction. Research shows this is one of the most effective ways to boost productivity in software delivery. In my experience, this provides clarity and confidence to development and QA teams.
Integration: Salesforce, Zapier, Slack, etc.
Supported Languages: Ducker, Git, SVN, Mercurial, etc.
Free Trial: 14 Days Free Trial
Features:
- Agile boards: Jira Software’s Scrum and Kanban boards are essential for managing test automation tasks in a visual and collaborative way. They help teams track sprints, daily progress, and blockers with clarity. I have used these boards to align QA efforts with dev cycles efficiently. The tool lets you customize columns and swimlanes to match your test categories, which enhances traceability.
- Advanced workflows: Jira’s customizable workflows are excellent for modeling complex test automation processes, especially when CI/CD is involved. I have built workflows with conditional approvals and transitions tied to automated triggers like Git commits. While using this feature one thing I noticed was the benefit of embedding status validators to avoid false transitions. This helped streamline team-wide testing pipelines.
- No-code automation rules: This feature simplifies test management by letting users build rules without writing code. For instance, you can auto-assign a test issue when a bug is logged or notify a channel when a test fails. I suggest grouping rules into categories for better maintenance as your automation scales. It saves time and helps maintain consistency across QA tasks.
- Integration ecosystem: Jira Software offers seamless integration with major test management tools like Xray, Zephyr, TestRail, and QMetry. While working on a project for a fintech client, I integrated Jira with Xray for automated test tracking. There is also an option that lets you connect tools like Jenkins or Selenium directly, making real-time reporting easy.
- Traceability: With Jira, you can link test cases to user stories, requirements, executions, and defects. This ensures full test coverage and helps teams trace the impact of a failure. I once used this to backtrack a production bug to a missed test case—Jira’s links made the root cause obvious. I recommend setting up link types for each phase to maintain clean, useful traceability.
- Test cycle management: Jira test-management plugins allow you to plan and execute automated test cycles in a structured way. You can create test plans, assign executions, and monitor results directly within Jira. While testing this, I found organizing cycles by sprint dates helped correlate testing trends with code delivery. This gave our QA team better visibility into recurring issues.
Pros
Cons
Pricing:
- Price: Plans start at $8 per month.
- Free Trial: 14-day free trial (No credit card required)
14-Days Free Trial
2) Monday Dev
Monday Dev is an open source test automation tool that can be used to automate all types of tasks such as building, testing, and deploying software. Monday Dev Integrates with popular platforms like Slack, GitHub, Jira, Figma, Microsoft Teams and provides apps for Toggl, PandaDoc, Copper, Pipedrive and etc.
Integration: itHub, Jira, Figma, Microsoft Teams etc.
Supported Languages: JavaScript, Python, PHP, ReactJS, etc.
Free Trial: 14 Days Free Trial
Features:
- Sprint management: Sprint management in Monday Dev makes running Agile test cycles straightforward. You can plan each iteration, run daily standups, and document retrospectives all in one place. I used this to align QA with development and saw fewer blockers in automation delivery. While using this feature one thing I noticed was how linking tasks across sprints improved traceability of recurring defects.
- Burndown chart: The burndown chart in Monday Dev is excellent for visualizing how fast your automated test cases are progressing. It compares remaining effort with the ideal trend, which helps keep QA teams on track. I once tracked a test suite buildup and saw how clearly this chart revealed scope creep. I suggest updating task estimations daily for an accurate velocity trendline.
- Docs for knowledge management: Monday Dev lets you build living documentation directly within your workflow. I’ve used it to centralize test setup guides, automation strategies, and debugging steps—all linked to test boards. There is also an option that lets you embed videos or screenshots, which I recommend for walking new testers through test suite structures. It cuts onboarding time significantly.
- Automations: Automations in Monday Dev are a major time-saver. You can create triggers that reassign test failures, alert QA leads, or shift statuses after CI builds. I have tested this and found it particularly useful for reducing manual QA coordination. I recommend setting up custom automation rules tailored to your testing stack to improve turnaround.
- Kanban view: The Kanban view helps manage every testing phase—from designing automated tests to reviewing CI outcomes. Tasks are arranged in customizable columns, so QA teams can see progress at a glance. When I worked on a Selenium-based project, this view made it easy to balance parallel automation tasks. You will notice smoother handoffs between development and QA when each task is clearly staged.
Pros
Cons
Pricing:
- Price: Plans start at $12 per month.
- Free Trial: 14-day free trial (No credit card required)
14-Days Free Trial
3) Selenium
Selenium stands as a reliable automated software testing tool for web app validation. I reviewed its support for Chrome, Firefox, Edge, and Safari. I could build tests in JavaScript, Python, or C#. During my research, I noticed how this tool helps you track UI changes and avoid browser-specific errors. It is a great option for teams aiming to boost efficiency. Web agencies now rely on Selenium’s cross-browser scripts to reduce front-end defects by 45% and deliver consistent client experiences.
Features:
- Language support: Selenium stands out for its wide support of languages like Java, Python, C#, Ruby, and JavaScript. This allows teams to adopt Selenium without switching tech stacks. I have used both Java and Python in separate client projects, which made onboarding smoother. I recommend choosing a language your team already uses to speed up integration and reduce learning overhead.
- Multi-browser compatibility: Selenium makes it easy to run tests across Chrome, Firefox, Safari, Edge, and even Internet Explorer. This ensures that your application behaves consistently across environments. I once ran into a rendering bug in Firefox that didn’t appear in Chrome—Selenium helped catch that before release. There is also an option that lets you emulate mobile browsers using device mode for deeper coverage.
- Selenium WebDriver: WebDriver communicates directly with browsers using native commands. This results in faster, more stable test execution compared to older methods. I have built stable test frameworks using WebDriver for REST-heavy apps where precise DOM control was critical. While testing this feature, I noticed that using explicit waits with WebDriver significantly reduced flaky test failures.
- Selenium Grid: This component lets you run tests in parallel across multiple nodes and environments. It’s great for speeding up execution time when your suite grows large. I used Grid in a CI pipeline to test 200+ scenarios across multiple OS-browser combinations. I suggest monitoring node health using open-source tools like Selenoid or Zalenium for better visibility and load management.
- Selenium IDE: This Chrome and Firefox extension helps beginners record and play back test cases without writing code. You can also export these tests into languages like Java or Python for further development. It’s a good way to prototype test flows quickly. The tool lets you insert breakpoints and add control flow logic to refine your recorded tests.
- Support classes: Selenium offers utility classes like ExpectedConditions, ThreadGuard, and Select to simplify test development. I have found ExpectedConditions especially useful for dynamic elements that take time to load. These utilities reduce boilerplate and improve readability. You will notice that using these classes leads to cleaner code and helps maintain long-term test reliability.
Pros
Cons
Pricing:
- Price: Open source
Link: https://www.selenium.dev/
4) Appium
Appium brings excellent value as one of the best open source automation tools, especially for mobile testing. I tested its cross-platform capabilities on both Android and iOS. It helped me avoid the hassle of writing separate scripts for each platform, saving time. In the review process, I found Appium’s setup and documentation to be very user-friendly, even for beginners. App development firms typically rely on Appium’s ability to handle hybrid app testing, making sure their apps function smoothly across all devices.
Features:
- No App Modification Required: Appium allows you to automate tests without changing the app’s source code or injecting agents. This means you can test production-ready APK or IPA files as-is, including third-party apps. I used this to test an enterprise healthcare app that couldn’t be altered for compliance reasons. While using this feature one thing I noticed is that it’s ideal for validating release builds in environments with strict governance policies.
- Real Device and Emulator Support: Appium supports both real devices and emulators, giving testers flexibility and coverage. It works well for replicating real-world usage conditions. I once executed a full regression suite across 10 devices using BrowserStack integration without needing a local device farm. I suggest running high-risk tests on real devices and lighter smoke tests on emulators to balance speed and reliability.
- Appium Inspector: This GUI tool helps you explore app elements, view their attributes, and build locators easily. It speeds up test development by offering direct access to element hierarchies. I have used Inspector extensively when dealing with React Native apps that have dynamic IDs. The tool lets you copy generated XPath and accessibility IDs straight into your code, which saves time and reduces locator errors.
- Desired Capabilities Configuration: This feature lets you define your test session setup by setting properties like platform name, app path, automation engine, and device settings. You can use JSON or nested structures for advanced setups. I configured this to handle Android and iOS sessions in the same CI job. You will notice that fine-tuning these parameters improves stability, especially when switching between app states or versions.
- Parallel Test Execution: Appium enables you to run tests concurrently across devices or simulators. This is essential for scaling mobile tests in continuous integration pipelines. In one project, I reduced execution time by over 60% using parallel runs on a mix of Android and iOS simulators. There is also an option that lets you use TestNG or pytest for managing parallel threads, which helps orchestrate multi-device workflows smoothly.
- W3C WebDriver Protocol: Appium follows the W3C WebDriver standard, making it compatible with Selenium-based frameworks. This means your team can reuse skills and tools from web automation in mobile testing. I leveraged this in a hybrid project that had both mobile and web flows in a single test suite. I recommend using the same assertion libraries and reporting tools across platforms to maintain consistency in results.
Pros
Cons
Pricing:
- Price: Open source
Link: https://appium.io/docs/en/latest/
5) Apache JMeter
Apache JMeter stands out as a comprehensive open-source load testing tool for checking application reliability. I analyzed its ability to simulate large loads and measure both static and dynamic resources. It offered me a powerful set of tools for recording and debugging test plans. In my opinion, it is a superior choice for anyone aiming to improve website or app performance.
Features:
- Protocol diversity: Apache JMeter supports a wide range of protocols including HTTP, REST, SOAP, FTP, JDBC, and JMS. This makes it a go-to tool for testing everything from APIs to databases in one framework. I used it to test a hybrid system that combined web services and backend SQL queries. I recommend grouping tests by protocol in separate thread groups to keep plans clean and easy to debug.
- Pure‑Java portability: JMeter is built in Java, so it runs on any system with a JVM—Windows, macOS, or Linux. This ensures seamless setup across environments and works well for distributed teams. I once ran identical tests on both Windows and Ubuntu without needing to tweak any configuration. You will notice that the tool maintains consistent performance regardless of platform, which is key in CI/CD pipelines.
- GUI + CLI modes: The GUI is useful for designing and debugging test plans, while CLI mode is better for automated runs. In one of my Jenkins setups, I used the CLI to run nightly load tests without any graphical overhead. There is also an option that lets you run CLI mode with JMeter plugins enabled, which is useful for advanced testing logic in headless environments.
- Multi‑threaded sampling: JMeter can simulate thousands of users by using threads and thread groups. It’s a strong choice for load and stress testing complex systems. I scaled a test to 5,000 virtual users to evaluate a retail app under Black Friday conditions. While testing this feature one thing I noticed was the importance of monitoring system resource usage—running large threads locally can throttle your machine.
- Test plan recording: The HTTP(S) Test Script Recorder lets you capture browser or mobile app interactions in real time. It’s handy for quickly building realistic test flows. I used this to capture login and checkout flows from a staging site and convert them into parameterized test cases. I suggest filtering out static resources like images or CSS during recording to avoid cluttering your test plan.
- Powerful listeners: JMeter includes listeners for visual reports—graphs, tables, logs—as well as raw output formats like CSV and XML. These help you analyze trends and bottlenecks. I often use Summary Report and Aggregate Graph listeners for spotting throughput drops. The tool lets you export data to external BI tools for advanced dashboards, which is helpful for executive reporting.
Pros
Cons
Pricing:
- Price: Open source
Link: https://jmeter.apache.org/
6) Testlink
Testlink is one of the most popular tools for open-source test management and is perfect for documenting detailed test cases. I particularly liked how it allows multiple users with different permissions to work together on the same platform. Over the course of my evaluation, I saw how this helps you avoid overlap and confusion. E-commerce companies benefit from Testlink by ensuring that every checkout test scenario is tracked and completed before a site update.
Features:
- Test case management: Testlink allows you to create and version structured test cases with detailed steps, preconditions, and expected outcomes. Its support for custom fields and multi-language formatting makes it great for global QA teams. I used this feature to maintain bilingual test cases for a client in Canada. I recommend enabling custom status values to reflect your team’s unique workflows more accurately.
- Test suite organization: Test cases can be grouped into hierarchical test suites, which helps manage complex applications more efficiently. It promotes test reuse and makes regression planning smoother. I worked on a banking platform where we structured suites by module, which helped isolate issues faster during releases. While using this feature one thing I noticed is that cloning suites across projects helps accelerate onboarding for new test cycles.
- Test plan & build management: You can link test plans to specific builds and assign testers to each version. This helps maintain focus on current milestones and reduces test redundancy. I assigned different builds to staging and pre-production teams, which improved visibility and ownership. The tool lets you archive old builds to keep the interface clean and focused during active testing.
- Execution tracking: Testlink supports manual and automated test execution with detailed status logging. Pass, fail, and blocked results are stored with tester comments and timestamps. I integrated it via XML-RPC to update test results from Selenium automatically. You will notice that using consistent execution notes makes retrospective analysis easier when debugging failed runs.
- Requirements traceability: This feature lets you link each test case to specific requirements, making it easier to validate coverage and fulfill audit needs. It generates traceability matrices that highlight gaps or missed validations. I used this to prepare for a compliance audit in the healthcare domain. I suggest exporting the matrix regularly and reviewing it with your business analyst team for better alignment.
- Reporting & metrics: Testlink provides rich reporting in formats like HTML, Word, and Excel. Reports include execution trends, test coverage stats, and customizable dashboards. I often used the platform’s project reports to support sprint demos and QA sign-offs. There is also an option that lets you create cross-project metrics, which helps with release-wide quality evaluations.
Pros
Cons
Pricing:
- Price: Open source
Link: http://testlink.org/
7) TestNG
TestNG provides a comprehensive automation testing framework that supports advanced features like custom listeners and parameterization. I could access multiple reporting formats and saw how this helps you share results across teams quickly. Over the course of my evaluation, I found that TestNG is a superior choice for teams that aim to automate thoroughly. E-commerce platforms achieve faster deployment by running all their functional and integration tests through TestNG’s automation.
Features:
- Annotations support: TestNG provides a powerful set of annotations like @BeforeSuite, @AfterMethod, and @Test. These give you full control over how and when test methods run. I used this to manage complex pre-test setups in a microservices architecture. While testing this feature one thing I noticed is that ordering your annotations carefully prevents race conditions in shared resource tests.
- Data-driven testing: The @DataProvider annotation lets you run a single test with multiple sets of input data. This avoids code duplication and scales coverage quickly. I applied this to validate 100+ form input variations in a financial application. I recommend keeping your data providers in a separate utility class to improve reusability and test clarity.
- Flexible configuration: TestNG uses XML files for defining test suites, grouping, and parameterization. It fits well into CI/CD pipelines where dynamic test control is essential. I have used this with Jenkins and Maven to trigger environment-specific test runs. There is also an option that lets you define retry logic using listeners, which helps handle transient failures without inflating test logs.
- Parallel execution: TestNG supports parallel test execution at the method, class, or suite level. This speeds up automation significantly on multi-core machines. I once reduced a 45-minute regression suite to under 12 minutes using parallel methods. You will notice that running resource-intensive tests in parallel may cause flakiness, so I suggest isolating those into their own thread pools.
- Grouping and dependency: You can tag tests using groups and control flow using dependsOnMethods or dependsOnGroups. This is great for structuring tests where order matters, like login-before-action flows. I used this to ensure that critical path tests only ran after prerequisites passed. The tool lets you selectively include or exclude groups in your XML config, which is helpful during selective regression.
- Parameter injection: The @Parameters annotation allows injecting environment-specific values from XML into test methods. This makes your test logic reusable across staging, QA, and production setups. I used it to switch endpoints and credentials without changing the source code. I suggest maintaining a central environment file for parameters so they’re easy to update and reference.
Pros
Cons
Pricing:
- Price: Open source
Link: https://testng.org/
8) JUnit
JUnit is one of the best open source testing frameworks I have encountered. I particularly appreciate how it is helpful to developers who need a simple yet powerful way to automate tests. Its engaging ecosystem and seamless integrations make it an ideal framework for collaborative teams. For example, fintech companies regularly depend on JUnit to validate critical workflows and ensure compliance.
Features:
- Assertion library: JUnit’s org.junit.Assert class offers essential assertions like assertEquals, assertTrue, and assertNull for validating test results clearly and effectively. These help detect both logic and regression bugs early. I used these assertions extensively when testing API response structures. I suggest including descriptive messages in each assertion to make failures easier to debug during CI runs.
- Timeout and expected exceptions: The @Test annotation supports timeout and expected parameters to fail tests that exceed duration limits or miss specific exceptions. This removes the need for verbose try-catch blocks. I used it to catch custom exceptions in a pricing engine test. While testing this feature, I noticed it helped enforce performance baselines in automated regression suites.
- JUnit Rules: JUnit provides reusable Rules like TemporaryFolder and ExpectedException, which simplify test environment setup and teardown. These are helpful when writing tests for file operations or error handling. I used TemporaryFolder while testing a file parser tool to avoid cluttering the local system. The tool lets you chain multiple rules using RuleChain, which gives better control over execution order.
- Test suites: The @Suite annotation allows you to bundle related test classes and run them as a group. This is useful for modularizing tests across large applications. I organized tests by module and included each suite in a master runner for full regression. You will notice that maintaining suite-level granularity helps isolate flaky test groups quickly.
- Custom runners: JUnit supports custom Runners like Parameterized and System Rules, which extend the default execution behavior. I used the Parameterized runner to execute data-driven tests for a loan calculator module. I recommend using JUnitParams or JUnit Pioneer for added runner flexibility if your test logic becomes more advanced.
- IDE and build tool integration: JUnit integrates natively with Eclipse, IntelliJ, Maven, Gradle, and Ant. This ensures seamless test discovery, execution, and reporting across environments. I have plugged JUnit into Jenkins and GitHub Actions with zero additional setup. There is also an option that lets you generate HTML or XML reports automatically using build tools, which helps with release audits.
Pros
Cons
Pricing:
- Price: Open source
Link: https://junit.org/junit4/
9) Cypress
Cypress is perfect for those seeking an essential and intuitive automation platform. I evaluated its performance and noticed that it is one of the most popular open-source test automation solutions among front-end developers. Its all-in-one approach to running, debugging, and maintaining tests helps you avoid common pain points. Financial startups typically choose Cypress for its fast feedback and seamless integration with modern stacks.
Features:
- In‑Browser Execution: Cypress executes tests directly in the browser’s native event loop, ensuring accurate simulation of user actions. This eliminates the overhead and flakiness seen in tools that depend on WebDriver. I used it to test a React SPA and saw faster execution with fewer sync issues. You will notice that errors are easier to catch since the browser and test runner share the same context.
- Time‑Travel Debugging: Cypress records a snapshot of the app at every test command. You can hover over any step in the Test Runner to see the exact DOM state, console logs, and network activity. I found this especially useful while debugging a checkout workflow that had multiple async elements. While using this feature, one thing I noticed was that inspecting failed assertions directly in the UI cut my triage time in half.
- Automatic Waiting: Cypress automatically waits for elements to appear, animations to settle, and XHR requests to finish before moving forward. This eliminates the need for manual waits or retries. I applied this in a project with heavy DOM transitions and saw a major drop in test flakiness. I suggest letting Cypress manage waits unless you’re handling polling or multi-page flows, where manual timing may still help.
- Network Stubbing & Control: Cypress gives full control over network requests, allowing you to stub responses, delay endpoints, or simulate errors. I used this to test offline and timeout states without hitting real APIs. The tool lets you use cy.intercept() to monitor real backend traffic too, which helps validate contract expectations during API testing.
- Real‑Time Reloads: Every code change triggers an instant reload in the Cypress runner. This gives you immediate visual feedback and keeps your debugging loop tight. When I built form validations, this feature helped validate fixes on the fly. I recommend using component-level tests during development for faster reloads and better isolation of edge cases.
- Cypress Cloud Test Replay: This feature captures test state, DOM, and logs during CI runs and lets you replay everything in the cloud. I worked with a remote QA team that used this to debug failed tests without pulling local environments. There is also an option that lets you share recorded sessions with devs, which accelerates resolution in cross-functional teams.
Pros
Cons
Pricing:
- Price: Plans start at $75 per month.
- Free Trial: Lifetime Free Plan
Link: https://www.cypress.io/
How does open source tool compared with paid tools?
Open-source testing tools do not have good support compared to paid tools. Open source tools lack frequent updates, whereas paid tools are frequently updated. Any bug in the open-source tool may take a very long time to be fixed, whereas commercial tools provide bug fixing rapidly. Though the source-code of open-source tools is freely available, and you can quickly modify the tools as per your needs.
How Did We Choose BEST Open Source Automation Testing Tools?
At Guru99, we are committed to delivering credible, accurate, and objective information that truly helps automation testers. With over 100 hours dedicated to comparing more than 30 open source testing tools, our experienced team focused on identifying those that consistently offer accurate results and practical value. We carefully verified features, pricing, and usability to ensure trustworthy, up-to-date recommendations. Each selected tool supports streamlined development, high productivity, and broad compatibility across platforms. Our expert-driven process ensures you receive insights that are both relevant and reliable. We focus on the following factors while reviewing a tool based on
- Community Support: We chose based on active contributions and issue resolution from a large, engaged developer base.
- Integration Capabilities: Our team shortlisted tools that seamlessly integrate with CI/CD pipelines, frameworks, and modern tech stacks.
- Ease of Use: We made sure to include tools offering simple setup, user-centric design, and smooth configuration options.
- Cross-Platform Testing: Experts in our team selected tools based on their ability to test across web, mobile, and desktop environments.
- Scalability: We chose tools that are great for growing teams and enterprise-level testing without compromising speed or quality.
- Extensive Documentation: Tools with precise documentation and helpful tutorials were top picks for faster learning and implementation.
Verdict
I rely on open source automation testing tools to deliver efficient, scalable, and cost-effective testing solutions across platforms. These tools empower teams with flexibility, active community support, and broad language compatibility. If you are deciding which one suits your project best, check my verdict for the most impactful options today.
- Jira Software: A secure and customizable DevOps platform that streamlines test, build, and deployment workflows with broad version control system support.
- Selenium: A top choice for browser automation that runs tests across platforms and supports various languages, ideal for web-based application testing.
- Appium: A robust, mobile-friendly solution that works seamlessly with native, web, and hybrid apps and does not require device-side installations.
FAQs
Jira Software is a Continues Integration tool which also used for DevOps testing. It performs the automatic build, test, and releases in a single place. It supports many technologies and languages like Ducker, Git, SVN, Mercurial, and Amazon S3 buckets.
