Best Code Coverage Tools for JavaScript

IntelliJ IDEA is a JetBrains IDE for professional development in Java and Kotlin. It unlocks productive development and helps you write high-quality code with ease. Built to get the job done, it provides all of the essential tools and cutting-edge technology support you need. With a smooth, comfortable workflow and a strong focus on privacy and security, it lets you code with confidence and pleasure.

All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.

On-the-fly error detection and suggestions for fixes, quick and safe refactorings with one-step undo, intelligent code completion, dead code detection, and documentation hints help all Go developers, from newbies to experienced professionals, to create fast, efficient, and reliable code. Exploring and understanding team, legacy, or foreign projects takes a lot of time and effort. GoLand code navigation helps you get around with instant switching to shadowed methods, implementations, usages, declarations, or interfaces implemented by types. Jump between types, files or any other symbols, or find their usages and examine them with convenient grouping by usage type. Powerful built-in tools help to run and debug your applications. You can write and debug tests without any additional plugins or configuration effort, and test your applications right in the IDE. A built-in Code Coverage tool will make sure that your tests don’t miss anything important.

Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!

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.

DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most sophisticated static analysis platform for your workflow and prevent bugs before they end up in production. Largest collection of static analysis rules in the industry. Your team's central hub to track and take action on code health. Put code formatting on autopilot. Never let your CI break on style violations. Automatically generates and applies fixes for issues in a couple of clicks.

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.

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.

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.

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.

jscoverage tool, both node.js and JavaScript support. Enhance the coverage range. Use mocha to load the jscoverage module, then it works. jscoverage will append coverage info when you select list or spec or tap reporter in mocha. You can use covout to specify the reporter, like HTML, and detail. The detail reporter will print the uncovered code in the console directly. Mocha runs test case with jscoverage module. jscoverage will ignore files while listing in covignore file. jscoverage will output a report in HTML format. jscoverage will inject a group of functions into your module exports. default jscoverage will search covignore in the project root. jscoverage will copy exclude files from the source directory to the destination directory.

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.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

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.

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.

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.

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.