Alternatives to jscoverage

Compare jscoverage alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to jscoverage in 2025. Compare features, ratings, user reviews, pricing, and more from jscoverage competitors and alternatives in order to make an informed decision for your business.

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    Istanbul

    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.
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    Mocha

    Mocha

    Mocha

    Mocha runs in the browser. Every release of Mocha will have new builds of ./mocha.js and ./mocha.css for use in the browser. By adding an argument (usually named done) to it() to a test callback, Mocha will know that it should wait for this function to be called to complete the test. This callback accepts both an Error instance (or subclass thereof) or a falsy value; anything else is invalid usage and throws an error (usually causing a failed test). These reporters expect Mocha to know how many tests it plans to run before execution. This information is unavailable in parallel mode, as test files are loaded only when they are about to be run. In serial mode, tests results will “stream” as they occur. In parallel mode, reporter output is buffered; reporting will occur after each file is completed. In practice, the reporter output will appear in “chunks” (but will otherwise be identical). If a test file is particularly slow, there may be a significant pause while it’s running.
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    Early

    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
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    Mocha Pro

    Mocha Pro

    Boris FX

    Mocha Pro is the world renowned software for planar tracking, rotoscoping and object removal. Essential to visual effects and post-production workflows, Mocha has been recognized with prestigious Academy and Emmy Awards for contribution to the film and television industry. Mocha Pro has recently been used on global hits including The Mandalorian, Stranger Things, Avengers: Endgame, and many more. The next evolution of Mocha. PowerMesh enables a powerful new sub-planar tracking engine for VFX, roto and stabilization. Warped surface tracking and roto that sticks. Track complex organic surfaces through occlusions and blur using Mocha’s intuitive layer based interface. Simple to use and faster than most optical flow based techniques. Apply to source files for realistic match moves, convert to AE Nulls to drive motion graphics, render a mesh warped stabilize/reverse stabilize plate for compositing, or export dense tracking data to host applications.
    Starting Price: $27.75 per month
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    LuaCov

    LuaCov

    LuaCov

    LuaCov is a simple coverage analyzer for Lua scripts. When a Lua script is run with the luacov module loaded, it generates a stats file with the number of executions of each line of the script and its loaded modules. The luacov command-line script then processes this file generating a report file which allows one to visualize which code paths were not traversed, which is useful for verifying the effectiveness of a test suite. LuaCov includes several configuration options, which have their defaults stored in src/luacov/defaults.lua. These are the global defaults. To use project specific configuration, create a Lua script setting options as globals or returning a table with some options and store it as .luacov in the project directory from where luacov is being run. For example, this config informs LuaCov that only foo module and its submodules should be covered and that they are located inside src directory.
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    Mocha Accounting

    Mocha Accounting

    Mocha Technologies

    Mocha Accounting is an advanced, cost-effective accounting software designed to streamline and elevate financial management for businesses of all sizes. Mocha Accounting simplifies tasks like invoicing, expense tracking, banking transactions, and inventory management. This makes it ideal for small businesses looking to automate routine tasks, mid-market companies needing global capabilities with multi-currency support, and large enterprises managing multiple business segments. One of Mocha's standout features is its ability to be tailored to specific business needs. It offers the flexibility to customise the Chart of Accounts, Transaction Categories, and other financial settings, ensuring the platform fits seamlessly with unique business processes. The software’s robust dashboard offers a comprehensive view of key metrics, delivering valuable insights at a glance, and enabling better financial oversight. Mocha Accounting is the ultimate accounting software solution.
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    blanket.js

    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.
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    iMocha

    iMocha

    iMocha

    iMocha is a global leader in skills assessment and skills intelligence, empowering organizations to adopt a skills-first approach to workforce development. Since its founding in 2015, iMocha has been at the forefront of skills management, providing AI-powered solutions for skills validation, matching, and inference. With over 300 global customers, including 15 Fortune 500 companies, iMocha’s solutions streamline talent acquisition, optimize skills development, and drive performance for businesses around the world. Our customers globally include Deloitte, PayPal, Cap Gemini, E&Y, Reveture, Ericsson, Aston Martin, Vanguard, 711, Telstra, Daimler Trucks, ABSA SA, Avayya, Vanguard, 9 different UN Agencies). From the 500+ customers across 3 continents (NA, UKI/EMEA and India/APAC) 30 of the Fortune 500 companies use iMocha to deliver on their "Skills-First" Strategy. The customer landscape also includes 300+ Mid-Market organizations with less than 5000 employees.
    Starting Price: $400/month (billed annually)
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    Zombie.js

    Zombie.js

    Zombie.js

    Zombie.js is a lightweight, headless testing framework for Node.js that enables developers to simulate browser environments for testing client-side JavaScript code without the need for a graphical browser. It allows for the automation of web interactions such as form submissions, link clicks, and navigation, facilitating full-stack testing in a simulated environment. Developers can utilize Zombie.js to perform actions like visiting web pages, filling out forms, and asserting conditions within their test suites. The framework integrates seamlessly with testing libraries like Mocha, providing a streamlined approach to writing and executing tests.
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    pytest-cov
    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.
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    Mocha

    Mocha

    Mocha

    For ambitious entrepreneurs with technical needs but no expertise, Mocha is an AI product-builder that takes you from idea to real traction: users, revenue, or that first check. With Mocha, you don't need to connect other services: we handle asset management, database, auth, hosting, engineering, design and product brainstorming. It is meant to be the one-stop shop to build stunning and highly personalized apps with no limits to what features you want. It is true no-code, and no technical expertise is required, but you can download or modify the code at any time should you so choose.
    Starting Price: $20/month
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    Boris Continuum
    Meeting tight turnarounds just got easier. The post-production industry’s most complete plugin collection delivers nearly 350 creative effects in 20 categories, 4000+ presets, built-in Academy Award-winning Mocha planar tracking and masking, a beat reactor that drives VFX to music, and the FX Browser. Busy editors and artists rely on continuum to get the job done. Continuum 2021 is the biggest release in its storied history with 80+ new effects, 1000+ new professionally-designed presets, 3 new Unit categories, major additions to particle illusion, a new keying effect, improvements to Mocha’s planar tracking, and more. The Cinematographer’s Toolkit gives artists access to 80 new effects, 3 new Continuum Units, and 1000+ new presets that pay homage to the bygone era of shooting on film. The built-in FX Editor makes it simple to browse the presets and create your own custom presets directly inside the interface. Recreate classic Hollywood looks in just one click.
    Starting Price: $27.75 per month
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    PCOV

    PCOV

    PCOV

    A self-contained CodeCoverage compatible driver for PHP. When PCOV is left unset, PCOV will attempt to find src, lib or, app in the current working directory, in that order; If none are found the current directory will be used, which may waste resources storing coverage information for the test suite. If PCOV contains test code, it's recommended to set the exclude command to avoid wasting resources. To avoid unnecessary allocation of additional arenas for traces and control flow graphs, PCOV should be set according to the memory required by the test suite. To avoid reallocation of tables, PCOV should be set to a number higher than the number of files that will be loaded during testing, inclusive of test files. interoperability with Xdebug is not possible. At an internal level, the executor function is overridden by PCOV, so any extension or SAPI which does the same will be broken. PCOV is zero cost, code runs at full speed.
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    Coverage.py

    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.
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    OpenCppCoverage

    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.
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    MochaDocs

    MochaDocs

    MochaDocs

    MochaDocs, the cloud for contracts. Permanent access to the latest version and with the latest technology. Insightful contract information. All tasks, addendum, and information are arranged in a well-organized manner. Handy dashboards are helpful in finding key data quickly. Easily define contracts with more than two contractors. Dashboards and notifications communicate exactly which action has to be taken at what time. Notifications will assist to keep full control on the execution of contractual tasks. Two-factor authentication (2FA) is used to gain MochaDocs access where two steps need to be completed successfully. Contracts have their own procedure with accompanying hierarchy. Configure various entities such as legal, geographic or department/business unit entities. Contract templates can be easily pre-defined and track important notifications. The automated authorization will show exactly who can and cannot view certain information.
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    RKTracer

    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).
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    Codecov

    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
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    Devel::Cover
    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.
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    OpenClover

    OpenClover

    OpenClover

    Balance your effort spent on writing applications and test code. Use the most sophisticated code coverage tool for Java and Groovy. OpenClover measures code coverage for Java and Groovy and collects over 20 code metrics. It not only shows you untested areas of your application but also combines coverage and metrics to find the riskiest code. The Test Optimization feature tracks which test cases are related to each class of your application code. Thanks to this OpenClover can run tests relevant to changes made in your application code, significantly reducing test execution time. Do testing getters and setters bring much value? Or machine-generated code? OpenClover outruns other tools in its flexibility to define the scope of coverage measurement. You can exclude packages, files, classes, methods, and even single statements. You can focus on testing important parts of your code. OpenClover not only records test results but also measures individual code coverage for every test.
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    DeepCover

    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.
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    VectorCAST

    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.
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    Tarpaulin

    Tarpaulin

    Tarpaulin

    Tarpaulin is a code coverage reporting tool for the cargo build system, named for a waterproof cloth used to cover cargo on a ship. Currently, tarpaulin provides working line coverage and while fairly reliable may still contain minor inaccuracies in the results. A lot of work has been done to get it working on a wide range of projects, but often unique combinations of packages and build features can cause issues so please report anything you find that's wrong. Also, check out our roadmap for planned features. On Linux Tarpaulin's default tracing backend is still Ptrace and will only work on x86 and x64 processors. This can be changed to the llvm coverage instrumentation with engine llvm, for Mac and Windows this is the default collection method. It can also be run in Docker, which is useful for when you don't use Linux but want to run it locally.
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    grcov

    grcov

    grcov

    grcov collects and aggregates code coverage information for multiple source files. grcov processes .profraw and .gcda files which can be generated from llvm/clang or gcc. grcov also processes lcov files (for JS coverage) and JaCoCo files (for Java coverage). Linux, macOS and Windows are supported.
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    eSoftTools IMAP Backup & Migration Software
    eSoftTools IMAP Backup and Migration Software is a professionally advanced and powerful IMAP email backup tool that helps users securely back up, download, or migrate emails from any IMAP-supported account. With its simple graphical interface, it becomes a user-friendly application to adopt and use for IMAP email backup and migration in more than 15+ file formats and popular cloud email platforms like Office 365, Gmail, Google Workspace, Yahoo Mail, and other IMAP server accounts. This tool is proudly supports all major IMAP servers for email backup, including Gmail, Google Workspace, Yahoo Mail, Outlook.com, Office 365, AOL, Zoho Mail, GoDaddy, Hostinger, HostMonster, iPage, BlueHost, MochaHost, and all other hosting-provided company email systems. The software is fully capable to download entire mailbox or any specific date range of emails with fast scanning and secure process. Users can export emails including Outlook PST, EML, EMLX, MSG, MBOX, Lotus Notes NSF, HTML, and more.
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    Coverlet

    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.
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    BullseyeCoverage

    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
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    Boris FX Sapphire
    Sapphire plug-ins let you create stunning organic looks unmatched by any host native effect tools. Key features include over 270 effects and 3000+ presets, a powerful effect and transition builder, and integrated tracking and masking with the academy award-winning mocha. Sapphire’s superior image quality, control, and render speed offers massive time-savings — allowing creatives to focus on what matters most, delivering an impact that keeps audiences coming back. Mac users with Sapphire 2021 will rejoice with the introduction of Metal GPU acceleration for over 60 Sapphire effect. Dramatic speed gains can be achieved with Metal acceleration in Sapphire; S_Rays renders over 4x faster with metal than CPU only. Performance can vary depending on GPU specs, host application, OS version, and individual Sapphire effects, but on average Sapphire 2021 with Metal acceleration renders 20% faster than CPU only.
    Starting Price: $47 per month
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    Slather

    Slather

    Slather

    Generate test coverage reports for Xcode projects & hook it into CI. Enable test coverage by ticking the "Gather coverage data" checkbox when editing a scheme.
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    SimpleCov

    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.
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    JCov

    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.
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    test_coverage
    A simple command-line tool to collect test coverage information from Dart VM tests. It is useful if you need to generate coverage reports locally during development.
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    PHPUnit

    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.
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    Cobertura

    Cobertura

    Cobertura

    Cobertura is a free Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. It is based on jcoverage. Cobertura is free software. Most of it is licensed under the GNU GPL, and you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. Please review the file LICENSE.txt included in this distribution for further details.
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    CodeRush

    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
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    Coco Code Coverage
    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.
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    Parasoft dotTEST
    Save time and money by finding and fixing defects earlier. Reduce the effort and cost of delivering high-quality software by preventing more complicated and expensive problems down the line. Ensure your C# or VB.NET code complies with a wide range of safety and security industry standards, including the requirement traceability mandated and the documentation required to verify compliance. Parasoft's C# testing tool, Parasoft dotTEST, automates a broad range of software quality practices for your C# and VB.NET development activities. Deep code analysis uncovers reliability and security issues. Code coverage, requirements traceability, and automated compliance reporting helps achieve compliance for security standards and safety-critical industries.
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    Code Climate

    Code Climate

    Code Climate

    Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.
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    dotCover

    dotCover

    JetBrains

    dotCover is a .NET unit testing and code coverage tool that works right in Visual Studio and in JetBrains Rider, helps you know to what extent your code is covered with unit tests, provides great ways to visualize code coverage, and is Continuous Integration ready. dotCover calculates and reports statement-level code coverage in applications targeting .NET Framework, .NET Core, Mono for Unity, etc. dotCover is a plug-in to Visual Studio and JetBrains Rider, giving you the advantage of analyzing and visualizing code coverage without leaving the code editor. This includes running unit tests and analyzing coverage results right in the IDEs, as well as support for different color themes, new icons and menus. dotCover comes bundled with a unit test runner that it shares with another JetBrains tool for .NET developers, ReSharper. dotCover supports continuous testing, a modern unit testing workflow whereby dotCover figures out on-the-fly which unit tests are affected by your code changes.
    Starting Price: $399 per user per year
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    coverage

    coverage

    pub.dev

    Coverage provides coverage data collection, manipulation, and formatting for Dart. Collect_coverage collects coverage JSON from the Dart VM Service. format_coverage formats JSON coverage data into either LCOV or pretty-printed format.
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    BACON

    BACON

    Authentic Restaurant Concepts

    Designed by Independent Operators for Independent Operators to remove the stress from recipe costing and inventory. From single unit diners, to food trucks, wine bistros, fast food, fine dining and multi-unit concepts, all over the world! Knowing your numbers will help ensure that your truck won’t roll away anytime soon! Are you getting great food out fast, but your numbers are growing slowly? Are you making money on that double whip mocha chip, or is it costing you more than you thought? Are you taking home enough of the “pie” or are you leaving too much on the table? Is your bakery a rising high as a “sweet” success while profits are falling flat? Are people hitting your drive-thru but you feel more like a bank teller handing out cash instead of keeping it?
    Starting Price: $37 per user per month
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    RequireJS

    RequireJS

    RequireJS

    RequireJS is a JavaScript file and module loader. It is optimized for in-browser use, but it can be used in other JavaScript environments, like Rhino and Node. Using a modular script loader like RequireJS will improve the speed and quality of your code. This setup assumes you keep all your JavaScript files in a "scripts" directory in your project. To take full advantage of the optimization tool, it is suggested that you keep all inline script out of the HTML, and only reference require.js with a requirejs call like so to load your script. All of them map to loading some/path/some/module.js. Ideally we could choose the CommonJS syntax, since it is likely to get more common over time, and we want to reuse code.
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    SmartBear AQTime Pro
    Debugging should be simple. AQTime Pro synthesizes complex memory and performance information into digestible, actionable insights so you can quickly find bugs and their root cause. Finding and squashing highly differentiated bugs is tedious and complicated, but AQTime Pro makes it easy. With over a dozen profilers, you can find memory leaks, performance bottlenecks, code coverage gaps and more in just a few clicks. AQTime Pro enables you to squash all bugs with one tool and get back to making high quality code. Don’t let code profilers box you in with a single codebase or framework and prevent you from finding performance bottlenecks, memory leaks, code coverage gaps unique to your project. AQTime Pro is the one tool to use across multiple codebases and frameworks in a project. It has broad language support for C/C++, Delphi, .NET, Java and more.
    Starting Price: $719 one-time payment
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    Coveralls

    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
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    Code Intelligence

    Code Intelligence

    Code Intelligence

    Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.
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    Codase

    Codase

    Codase

    Codase hosts huge amount of open source codes providing a much better coverage, as it covers codes usually hidden inside compressed files and source control repositories, where general search engines fail to find and index. In addition, Codase only indexes and searches high quality codes with every line of code literally validated and compiled by intelligent and powerful source code analysis engine. Codase is a privately held company based in silicon valley, founded by Dr. Huihong Luo and other veterans. We are a group of innovative and passionate professionals with diverse technologies, business background and proven track of records. We are committed to make Codase the world's best search engine for source codes in terms of features, quality, performance and code coverage. If you are a developer, you may find Codase useful, since improving your coding productivity is our goal.
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    Directory Report

    Directory Report

    AMB Software

    Show disk usage, directory printer, find duplicate files, rename files, and maintain your files - all in 1 tool Directory Report looks like the MS-Explorer but always shows the directory's size. This makes it easy to drill down to directories which are using all your disk space. Duplicate files are found by any combination of the same: Name, Size, Cyclic Redundancy Checksum (CRC32) or Comparing byte by byte Finds duplicate directories Multiple file rename Multiple file change date Multiple file change owner Powerful filters and report to many formats (Printer, Text file, Clipboard, Excel (CSV) file, Excel program, HTML file or XML file) Print a directory list and file list of an entire disk or a list of directories Prints DLL and EXE version information Prints AVI, MP3, MSI, WAV and MS-Office properties
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    Testwell CTC++
    Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. With certain add-on components CTC++ can be used also on C#, Java and Objective-C code. Further, again with certain add-on components, CTC++ can be used to analyse code basically at any embedded target machines, also in very small ones (limited memory, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. As a dynamic analysis tool, CTC++ shows the execution counters (how many times executed) in the code, i.e. more than a plain executed/not executed information. You can also use CTC++ to measure function execution costs (normally time) and to enable function entry/exit tracing at test time. CTC++ is easy to use.
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    NCover

    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.
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    HCL OneTest Embedded
    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.