Alternatives to dotCover
Compare dotCover alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to dotCover in 2026. Compare features, ratings, user reviews, pricing, and more from dotCover competitors and alternatives in order to make an informed decision for your business.
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1
Parasoft
Parasoft
Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems. -
2
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 -
3
Qodo
Qodo
Qodo (formerly Codium) analyzes your code and generates meaningful tests to catch bugs before you ship. Qodo maps your code’s behaviors, surfaces edge cases, and tags anything that looks suspicious. Then, it generates clear and meaningful unit tests that match how your code behaves. Get full visibility of how your code behaves, and how the changes you make affect the rest of your code. Code coverage is broken. Meaningful tests actually check functionality, giving you the confidence needed to commit. Spend fewer hours writing questionable test cases, and more time developing useful features for your users. By analyzing your code, docstring, and comments, Qodo suggests tests as you type. All you have to do is add them to your suite. Qodo is focused on code integrity: generating tests that help you understand how your code behaves; finding edge cases and suspicious behaviors; and making your code more robust.Starting Price: $19/user/month -
4
Sauce Labs
Sauce Labs
Sauce Labs provides the world’s largest continuous testing cloud for web and mobile applications, giving development teams at the world's top digital brands access to a comprehensive and trusted solution they can use to deliver apps faster without compromising quality. Release better mobile apps to the market faster with extensive device and test coverage, streamlined beta app distribution, best-in-class error monitoring, and continuous feedback loops throughout your app development cycle. Ensure that your mobile apps work as they should in real-world scenarios, on any device, any browser, every time. Sauce Labs end-to-end mobile quality solutions enable organizations delivering mobile apps in the modern era of DevOps-driven development to achieve quality at speed throughout all stages of the app development journey - from development to production. No matter your testing needs,the application type you are developing, or your role in the mobile app SDLC, we've got you covered!Starting Price: $19 per user per month -
5
Coco Code Coverage
Qt Group
Coco by Qt is an end-to-end code coverage and test analysis tool built for teams developing desktop, embedded, and safety-critical software. It supports multiple languages—including C, C++, C#, QML, and Tcl—and provides detailed insight into code coverage across unit, integration, and system testing. Coco helps engineering and QA teams identify untested paths, redundant test cases, and hidden logic branches to improve software reliability and performance. Designed for compliance-driven industries, it generates audit-ready reports aligned with international standards like ISO 26262, DO-178C, and IEC 62304. Seamlessly integrating with CI/CD pipelines and IDEs such as Visual Studio, Eclipse, and Qt Creator, Coco streamlines test validation across toolchains and environments. With precision, automation, and compliance at its core, Coco enables faster releases without compromising quality or safety. -
6
CodeRush
DevExpress
Try your first CodeRush feature right now and see instantly just how powerful it is. Refactoring for C#, Visual Basic, and XAML, with the fastest test .NET runner available, next generation debugging, and the most efficient coding experience on the planet. Quickly find symbols and files in your solution and easily navigate to code constructions related to the current context. CodeRush includes the Quick Navigation and Quick File Navigation features, which make it fast and easy to find symbols and open files. Using the Analyze Code Coverage feature, you can discover what parts of your solution are covered by unit tests, and find the at-risk parts of your application. The Code Coverage window shows percentage of statements covered by unit tests for each namespace, type, and member in your solution.Starting Price: $49.99 one time payment -
7
Early
EarlyAI
Early is an AI-driven tool designed to automate the generation and maintenance of unit tests, enhancing code quality and accelerating development processes. By integrating with Visual Studio Code (VSCode), Early enables developers to produce verified and validated unit tests directly from their codebase, covering a wide range of scenarios, including happy paths and edge cases. This approach not only increases code coverage but also helps identify potential issues early in the development cycle. Early supports TypeScript, JavaScript, and Python languages, and is compatible with testing frameworks such as Jest and Mocha. The tool offers a seamless experience by allowing users to quickly access and refine generated tests to meet specific requirements. By automating the testing process, Early aims to reduce the impact of bugs, prevent code regressions, and boost development velocity, ultimately leading to the release of higher-quality software products.Starting Price: $19 per month -
8
Typemock
Typemock
The easiest way to unit test. Write tests without changing your code! Even legacy code. Static methods, private methods, non-virtual methods, out parameters and even members and fields. Our professional edition is free for developers around the world. We also have paid support package. Improve your code integrity and deliver quality code. Fake entire object models with a single statement. Mock statics, private, constructors, events, linq, ref args, live, future, static constructors. Our suggest feature creates automated test suggestions suitable for your code. Our smart runner will run only your impact tests and get you super fast feedback. Our coverage feature displays your code coverage in your editor while you code.Starting Price: $479 per license per year -
9
PHPUnit
PHPUnit
PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.Starting Price: Free -
10
LDRA Tool Suite
LDRA
The LDRA tool suite is LDRA’s flagship platform that delivers open and extensible solutions for building quality into software from requirements through to deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. The core components of the tool suite are available in several configurations that align with common software development needs. A comprehensive set of add-on capabilities are available to tailor the solution for any project. LDRA Testbed together with TBvision provide the foundational static and dynamic analysis engine, and a visualization engine to easily understand and navigate standards compliance, quality metrics, and code coverage analyses. -
11
Coverlet
Coverlet
It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.Starting Price: Free -
12
NCover
NCover
NCover Desktop is a Windows application that helps you collect code coverage statistics for .NET applications and services. After coverage is collected, Desktop displays charts and coverage metrics in a browser-based GUI that allows you to drill all the way down to your individual lines of source code. Desktop also allows you the option to install a Visual Studio extension called Bolt. Bolt offers built-in code coverage that displays unit test results, timings, branch visualization and source code highlighting right in the Visual Studio IDE. NCover Desktop is a major leap forward in the ease and flexibility of code coverage tools. Code coverage, gathered while testing your .NET code, shows the NCover user what code was exercised during the test and gives a specific measurement of unit test coverage. By tracking these statistics over time, you gain a concrete measurement of code quality during the development cycle.Starting Price: Free -
13
Rider
JetBrains
Fast & powerful, cross-platform .NET IDE, develop .NET, ASP.NET, .NET Core, Xamarin or Unity applications on Windows, Mac, Linux. JetBrains Rider is a cross-platform .NET IDE based on the IntelliJ platform and ReSharper. Rider supports .NET Framework, the new cross-platform .NET Core, and Mono based projects. This lets you develop a wide range of applications including .NET desktop applications, services and libraries, Unity games, Xamarin apps, ASP.NET, and ASP.NET Core web applications. Rider provides 2200+ live code inspections, hundreds of context actions and refactorings brought by ReSharper, and combines them with the IntelliJ platform's solid IDE features. Despite a heavy feature set, Rider is designed to be fast and responsive. As well as running and debugging multiple runtimes, Rider itself runs on multiple platforms, Windows, macOS, and Linux. Most of ReSharper's 60+ refactorings are already available in Rider, and its 450+ context actions are all there.Starting Price: $11.58 per month -
14
RKTracer
RKVALIDATE
RKTracer is a code-coverage and test-analysis tool that enables teams to assess the quality and completeness of their testing across unit, integration, functional, and system-level testing, without altering a single line of application code or build workflow. It supports instrumentation across host machines, simulators, emulators, embedded devices, and servers, and covers a broad array of programming languages, including C, C++, CUDA, C#, Java, Kotlin, JavaScript/TypeScript, Golang, Python, and Swift. It provides detailed coverage metrics such as function, statement, branch/decision, condition, MC/DC, and multi-condition coverage, and even supports delta-coverage reports to show which newly added or modified portions of code are already covered. Integration is seamless; simply prefix your build or test command with “rktracer”, run your tests, then generate HTML or XML reports (for CI/CD systems or dashboards like SonarQube). -
15
OpenCppCoverage
OpenCppCoverage
OpenCppCoverage is an open-source code coverage tool for C++ under Windows. The main usage is for unit testing coverage, but you can also use it to know the executed lines in a program for debugging purposes. Support compiler with a program database file (.pdb). Just run your program with OpenCppCoverage, no need to recompile your application. Exclude a line based on a regular expression. Coverage aggregation, to run several code coverages and merge them into a single report. Requires Microsoft Visual Studio 2008 or higher for all editions including the Express edition. It should also work with the previous version of Visual Studio. You can run the tests with the Test Explorer window.Starting Price: Free -
16
VectorCAST
VECTOR Informatik
VectorCAST is a comprehensive test-automation suite designed to streamline unit, integration, and system testing across the embedded software development lifecycle. It automates test case generation and execution for C, C++, and Ada applications, supports host, target, and continuous-integration environments, and offers structural code coverage metrics to help validate safety- and mission-critical systems. It integrates with simulation workflows such as software-in-the-loop and processor-in-the-loop, links to model-based engineering tools like Simulink/Embedded Coder, supports white-box testing features like dynamic instrumentation, fault injection, and test harness generation, and can combine static-analysis results (e.g., from Polyspace) with dynamic test coverage for full-lifecycle verification. Key capabilities include linking requirements to tests, managing and reporting coverage across configurations. -
17
xUnit.net
xUnit.net
xUnit.net is a free, open source, community-focused unit testing tool for the .NET Framework. Written by the original inventor of NUnit v2, xUnit.net is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. xUnit.net works with ReSharper, CodeRush, TestDriven.NET and Xamarin. It is part of the .NET Foundation, and operates under their code of conduct.Starting Price: Free -
18
Jtest
Parasoft
Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress. -
19
Devel::Cover
metacpan
This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.Starting Price: Free -
20
blanket.js
Blanket.js
A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.Starting Price: Free -
21
HCL OneTest Embedded
HCL Software
Automating the creation and deployment of component test harnesses, test stubs and test drivers is a cinch thanks to OneTest Embedded. With a single click from any development environment, one can profile memory and performance, analyze code coverage and visualize program execution behavior. Additionally, OneTest Embedded helps be more proactive in debugging, while identifying and assisting in fixing code before it breaks. Allows for a virtual cycle of test generation, while executing, reviewing and testing improvement to rapidly achieve full test coverage. One click is all it takes to build, execute on the target, and generate reports. Helps preempt performance issues and program crashes. Additionally, can be adapted to work with custom memory management methods used in embedded software. Provides visibility on thread execution and switching to develop a deep understanding of the behavior of the system under test. -
22
CI Fuzz
Code Intelligence
CI Fuzz ensures robust and secure code with test coverage up to 100%. Use CI Fuzz from the command line or in the IDE of choice to generate thousands of test cases automatically. CI Fuzz analyzes code as it runs, just like a unit test, but with AI support to efficiently cover all paths through the code. Uncover real bugs in real-time and say goodbye to theoretical issues and false positives. Find real issues with all the information needed to quickly reproduce and fix them. Test your code with maximum code coverage and automatically detect typical security-relevant bugs like injections and remote code executions automatically in one go. Get fully covered to deliver the highest quality software. Conduct real-time code analysis with CI Fuzz. Take unit tests to the next level. It employs AI for comprehensive code path coverage and the automatic generation of thousands of test cases. Maximize pipeline performance that doesn't compromise software integrity.Starting Price: €30 per month -
23
Coveralls
Coveralls
We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite. Free for open-source repositories. Pro accounts for private repositories. Instant sign-up through GitHub, Bitbucket, and Gitlab. Maintaining a well-tested codebase is mission-critical. Figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, so shouldn't it be doing the heavy lifting? Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. If you're just running your code coverage locally, you won't be able to see changes and trends that occur during your entire development cycle. Coveralls lets you inspect every detail of your coverage with unlimited history. Coveralls takes the pain out of tracking your code coverage. Know where you stand with your untested code. Develop with confidence that your code is covered.Starting Price: $10 per month -
24
Coverage.py
Coverage.py
Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.Starting Price: Free -
25
Diffblue Cover
Diffblue
Diffblue Cover analyzes your existing Java program and writes unit regression tests that reflect the current behavior of the code. The CLI tool works 100% autonomously, configuring itself from your Maven or Gradle environment. By bringing automation to the test-writing process, the CLI tool provides a speed boost for organizations that are working towards achieving DevOps goals like CI/CD. Since it fits into a CI pipeline, the CLI tool protects the whole codebase from regressions by shifting testing left. Diffblue Cover's unit regression tests run fast and verify new code changes immediately, helping users detect undesirable changes in the code’s behavior as early as possible, when they're the quickest, easiest, and cheapest to fix. And tests are automatically maintained, saving teams even more time.Starting Price: Free -
26
JetBrains Academy
JetBrains
Turn on the free educational features in your IDE to learn programming from scratch, expand your current skill set, or create your own interactive courses to share with others. With the JetBrains Academy plugin, you can learn and teach programming languages in the form of coding tasks and custom verification tests right inside JetBrains IDEs. Access over 100 courses in the most in-demand programming languages and technologies, and build real-world projects for your developer portfolio. Create your own courses by combining theoretical learning and hands-on practice. Test user knowledge with various sets of tasks, and provide extra assistance with feedback and hints. The JetBrains Academy plugin is free to use and supports Java, Kotlin, Python, Scala, JavaScript, Rust, C++, Go, and PHP with more languages to come. JetBrains Academy plugin is compatible with IntelliJ IDEA, PyCharm, WebStorm, Android Studio, CLion, GoLand, and PhpStorm.Starting Price: Free -
27
TestNG
TestNG
TestNG is a testing framework inspired from JUnit and NUnit but introducing some new functionalities that make it more powerful and easier to use, such as annotations, or the possibility to run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc.). You can test that your code is multithread safe, there is flexible test configuration, support for data-driven testing (with @DataProvider), support for parameters, powerful execution model (no more TestSuite). There is a supported by a variety of tools and plug-ins (Eclipse, IDEA, Maven, etc.), it also embeds BeanShell for further flexibility, and there is default JDK functions for runtime and logging (no dependencies), and dependent methods for application server testing. TestNG is designed to cover all categories of tests, unit, functional, end-to-end, integration, etc. -
28
BullseyeCoverage
Bullseye Testing Technology
BullseyeCoverage is an advanced C++ code coverage tool used to improve the quality of software in vital systems such as enterprise applications, industrial control, medical, automotive, communications, aerospace and defense. The function coverage metric gives you a quick overview of testing completeness and indicates areas with no coverage at all. Use this metric to broadly raise coverage across all areas of your project. Condition/decision coverage provides detail at the control structure level. Use this metric to attain high coverage in specific areas, for example during unit testing. C/D coverage provides better detail than statement coverage or branch coverage, and provides much better productivity than more complex coverage metrics.Starting Price: $900 one-time payment -
29
Embunit
Embunit
Embunit is a unit testing tool for programmers and testers developing software in C or C++. It is aimed at embedded software development, but can be used to create unit tests for any software written in C or C++. Embunit eliminates the mundane, repetitive aspects of writing unit tests, leaving you free to concentrate on defining the test behaviour. This is achieved by specifying a sequence of actions as shown in the example screenshot below. Embunit generates the unit test source code automatically. Embunit has been developed with flexibility in mind, and can be customised to create unit tests for virtually any hardware platform; even the smallest microcontrollers. It is not tied to any specific toolset and is designed to accommodate the common limitations of embedded C++ compilers.Starting Price: $131.19 per user -
30
JetBrains Hub
JetBrains
Manage users across Upsource, YouTrack and TeamCity installations, use a centralized dashboard for a quick overview of the relevant commits, issues, or tests. Conduct administrative support for groups and permissions and manage licenses between Upsource and YouTrack. One-click navigation to YouTrack issues from discussions, code reviews, and commit messages. Create an issue based on a code review from Upsource. View comments on a revision or review that mentions the issue in its name. View the commits where an issue is mentioned. Apply YouTrack commands from a commit comment. Hub enables advanced integration between the JetBrains team collaboration tools. For example, when you use Hub to connect your Upsource and YouTrack installations, you can create new issues directly from your code reviews. Hub makes sure that across all the JetBrains team tools used in your team, a user can log in once and stay authenticated throughout. -
31
SimpleCov
SimpleCov
SimpleCov is a code coverage analysis tool for Ruby. It uses Ruby's built-in Coverage library to gather code coverage data, but makes processing its results much easier by providing a clean API to filter, group, merge, format, and display those results, giving you a complete code coverage suite that can be set up with just a couple lines of code. SimpleCov/Coverage track covered ruby code, gathering coverage for common templating solutions like erb, slim, and haml is not supported. In most cases, you'll want overall coverage results for your projects, including all types of tests, Cucumber features, etc. SimpleCov automatically takes care of this by caching and merging results when generating reports, so your report actually includes coverage across your test suites and thereby gives you a better picture of blank spots. SimpleCov must be running in the process that you want the code coverage analysis to happen on.Starting Price: Free -
32
Codecov
Codecov
Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project, folder and type test (unit tests vs integration tests). Detailed report commented directly into your pull request. Codecov is SOC 2 Type II certified, which means a third-party audits and attests to our practices to secure our systems and your data.Starting Price: $10 per user per month -
33
Tabnine
Tabnine
Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, Python, Java, PHP, Go, and more.Starting Price: $12 per user per month -
34
JetBrains AI Assistant
JetBrains
JetBrains AI Assistant connects your IDE to third-party and proprietary large language models (LLMs) optimized for specific tasks. This enables AI Assistant to provide precise and context-aware assistance, whether it's generating code snippets, completing complex code structures, or creating automated tests. We take data and code security seriously! JetBrains AI Assistant does not store or disclose your code snippets, regardless of whether the data originates from public repositories, private repositories, or local files. We strictly follow the JetBrains AI Terms of Service, ensuring that neither we nor our service providers use your data or code for training any generative AI models.Starting Price: $8.33 per month -
35
Code Genius
Code Genius
Code Genius is an AI-powered coding assistant designed to enhance your development experience by providing real-time code analysis, intelligent suggestions, and code improvements to make your code clean, efficient, and error-free. It offers features such as automatic unit test generation, covering a wide range of scenarios, and the creation of clear and concise code documentation. With Code Genius, you can engage in effortless conversations with your AI programming buddy, combining conversational ease with the efficiency of a seasoned coding assistant. It allows you to create unit tests in a matter of seconds, optimizing your code faster and more efficiently than ever. It seamlessly synchronizes with your workflow, ensuring effortless collaboration. For premium members, Code Genius offers a GitHub App that revolutionizes your development experience by elevating workflow efficiency with code coverage and instant on-the-fly unit testing.Starting Price: $6 per month -
36
Avo Assure
Avo Automation
The Avo Quality Automation System is the world’s gold standard for simple, intelligent and resilient automation, freeing people from manual tasks and allowing them to do more of what they love. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code. Instantly auto-generate test automation across the web, mobile, desktop, ERP applications, & mainframes without writing code. Leverage 1400+ prebuilt keywords to easily & rapidly build test cases. Easily visualize your test landscape, with the first mind map in test automation. Quickly update and upgrade test scenarios to expand coverage & reduce maintenance. Eliminate errors as you change and update applications over time. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code. -
37
NCrunch
NCrunch
NCrunch tracks your code coverage in real-time, showing this in markers next to your code. This makes it easy to track where your coverage is heavy or light. NCrunch was designed with big complex projects in mind. We've spent the last 12 years optimising and scaling the NCrunch system to meet the needs of real-world systems consisting of millions of lines of code and many thousands of tests. NCrunch tracks all sorts of test related data, and it uses it to give you the most important feedback as fast as possible. Tests that you have recently impacted with your code changes are prioritised for execution using sophisticated and high performance IL-based change mapping. NCrunch can offload build and test work to other computers for processing. Farm tasks out to connected machines or scale into the cloud. Processing resources can be shared between developers allowing teams to pool their testing resources.Starting Price: $159 per year -
38
Gru
Gru.ai
Gru.ai is an innovative AI-driven platform designed to enhance software development workflows by automating tasks like unit testing, bug fixing, and algorithm development. With tools like Test Gru, Bug Fix Gru, and Assistant Gru, Gru.ai helps developers streamline their processes and improve efficiency. Test Gru automates unit test generation, ensuring superior test coverage while reducing manual effort. Bug Fix Gru automatically identifies and resolves issues directly within your GitHub repositories. Assistant Gru is an AI developer that assists with technical challenges like debugging and coding, delivering reliable and high-quality solutions. Gru.ai is tailored for developers looking to optimize their coding processes and reduce repetitive tasks through the power of AI. -
39
dotMemory
JetBrains
dotMemory is a .NET memory profiler that can be launched right from Visual Studio, used as a plugin in JetBrains Rider, or used as a standalone tool. dotMemory lets you profile applications based on any supported version of .NET Framework, .NET Core, .NET, ASP.NET web applications, IIS, IIS Express, Windows services, Universal Windows Platform applications, and more. On macOS and Linux, dotMemory can be used only as part of JetBrains Rider or as a command-line profiler. dotMemory lets you import raw Windows memory dumps obtained using the task manager or process explorer, and analyze them as regular memory snapshots. By doing so, you can take advantage of automatic inspections, retention diagrams, and other sophisticated dotMemory features. Understanding of how memory is retained in your application is essential in order to successfully optimize it. In this view, the hierarchy of dominators (objects that exclusively retain other objects in memory) is shown on a sunburst chart.Starting Price: $469 per year -
40
Digital.ai Continuous Testing
Digital.ai
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 -
41
DeepCover
DeepCover
Deep Cover aims to be the best coverage tool for Ruby code. More accurate line coverage, and branch coverage. It can be used as a drop-in replacement for the built-in Coverage library. It reports a more accurate picture of your code usage. In particular, a line is considered covered if and only if it is entirely executed. Optionally, branch coverage will detect if some branches are never taken. MRI considers every method defined, including methods defined on objects or via define_method, class_eval, etc. For Istanbul output, DeepCover has a different approach and covers all def and all blocks. DeepCover doesn't consider loops to be branches, but it's easy to support them if needed. Even after DeepCover is required and configured, only a very minimal amount of code is actually loaded and coverage is not started. To make it easier to transition for projects already using the builtin Coverage library deep-cover can inject itself into those tools.Starting Price: Free -
42
EasyMock
EasyMock
Most parts of a software system do not work in isolation, but collaborate with other parts to get their job done. In a lot of cases, we do not care about using real collaborators implementation in unit testing, as we trust these collaborators. Mock objects replace collaborators of the unit under test. To test a unit in isolation or mount a sufficient environment, we have to simulate the collaborators in the test. A Mock Object is a test-oriented replacement for a collaborator. It is configured to simulate the object that it replaces in a simple way. In contrast to a stub, a Mock Object also verifies whether it is used as expected. EasyMock has been the first dynamic Mock Object generator, relieving users of hand-writing Mock Objects, or generating code for them. EasyMock provides Mock Objects by generating them on the fly using Java proxy mechanism. -
43
Istanbul
Istanbul
JavaScript test coverage made simple. Istanbul instruments your ES5 and ES2015+ JavaScript code with line counters, so that you can track how well your unit-tests exercise your codebase. The nyc command-line-client for Istanbul works well with most JavaScript testing frameworks, tap, mocha, AVA, etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul. Support for the most popular JavaScript testing frameworks. Support for instrumenting subprocesses, using the nyc command-line interface. Adding coverage to your mocha tests could not be easier. Now, simply place the command nyc in front of your existing test command. nyc's instrument command can be used to instrument source files outside of the context of your unit tests. nyc is able to show you all Node processes that are spawned when running a test script under it. By default, nyc uses Istanbul's text reporter. However, you may specify an alternative reporter.Starting Price: Free -
44
dotTrace
JetBrains
dotTrace is a performance profiler for .NET applications that works right in Visual Studio/JetBrains Rider and provides great ways to detect and analyze performance bottlenecks. dotTrace helps you locate performance bottlenecks in a variety of .NET applications, including desktop applications, .NET Core, ASP.NET applications hosted on IIS or IIS Express web servers, Mono and Unity applications, WCF services, Windows services, Universal Windows Platform applications, and unit tests. Unlike "classic" performance profiling which only lets you measure method call execution time, timeline profiling reveals how calls are distributed in time. It allows for diagnosing performance issues where the order of events matters, such as UI freezes, excessive garbage collection, uneven workload distribution, inefficient file I/O, and more. You can slice and dice profiling data using filters, the call tree, or diagrams.Starting Price: $469 per year -
45
JCov
OpenJDK
The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.Starting Price: Free -
46
TESSY
Razorcat
TESSY automates the whole unit test cycle including regression testing for your embedded software in C/C++ on different target systems. As an easy-to-install and easy-to-operate testing tool TESSY guides you through the unit test workflow from the project setup through the test design and execution to the result analysis and reporting. TESSY takes additional care of the complete test organization as well as the test management, including requirements, coverage measurement, and traceability. The TESSY test project management feature provides the possibility to define an individual test project structure based on collections and folders, to define environment variables, and to configure your desired compiler/debugger with the help of the integrated Test Environment Editor. The coverage results are displayed directly within the project structure and the test results are stored within test runs which allows for keeping former (successful) results for reporting. -
47
robotic.mobi
Mobinavel
As a fast-growing company we are focusing on perfection of test automation. Our team has qualitative development and QA background. Test your app on real devices. You can find most of the popular devices across the market at robotic lab. You can run your test on common operating systems and platforms. Transform your business to continues testing and DevOps. Get help of the artificial intelligence to cover your test scenarios more than you can imagine. Application test without code skills but still advanced. Get rid of complexity and chaos of test cases. You will feel like playing puzzles.Starting Price: $100 one-time payment -
48
Keysight Eggplant
Keysight Technologies
Keysight Eggplant is an AI-powered software testing platform that helps teams automate functional, regression, and performance testing across any system or platform. Built to eliminate repetitive manual testing, it ensures faster releases, broader coverage, and higher-quality applications. With capabilities spanning UI, performance, and mobile app testing, Eggplant allows organizations to validate real user experiences using computer vision and OCR-based automation. It seamlessly integrates into CI/CD pipelines like Jenkins, Azure DevOps, and GitHub for continuous testing at every code check-in. Supporting technologies from legacy GUIs to cloud-native apps, it delivers consistent reliability across complex environments. Trusted by global enterprises and organizations such as NASA, JetBlue, and the US Army, Keysight Eggplant enables smarter testing and better software outcomes. -
49
pytest-cov
Python
This plugin produces coverage reports. Compared to just using coverage run this plugin does some extras. Subprocess support, so you can fork or run stuff in a subprocess and will get covered without any fuss. Xdist support, so you can use all of pytest-xdist’s features and still get coverage. Consistent pytest behavior. All features offered by the coverage package should work, either through pytest-cov’s command line options or through coverage’s config file. Under certain scenarios, a stray .pth file may be left around in site packages. The data file is erased at the beginning of testing to ensure clean data for each test run. If you need to combine the coverage of several test runs you can use the --cov-append option to append this coverage data to coverage data from previous test runs. The data file is left at the end of testing so that it is possible to use normal coverage tools to examine it.Starting Price: Free -
50
AgitarOne
Agitar Technologies
The AgitarOne product family helps you work safer, better, and smarter as you develop and maintain your Java applications. AgitarOne JUnit Generator creates thorough JUnit tests on your code. This helps you find regressions and makes it safer and easier to improve your code to reduce the cost to maintain it. AgitarOne Agitator helps developers understand the behavior of their code as they write it. This helps you prevent bugs and prevent code complexity that can become tomorrow's maintenance headache. The AgitarOne family is the best available way to create, use, and manage the unit tests that you need to be truly agile. Automated JUnit Generation, you can automate the generation of JUnit tests to create a "safety net" before you start working with existing code. You can automate the generation of JUnit tests to create a "safety net" before you start working with existing code.
