Best Code Coverage Tools for JavaScript

All the Python tools in one location. PyCharm will take care of the routine, saving you time. To make the most of PyCharm's productivity features, you should focus on the important things. PyCharm has all the information you need about your code. PyCharm can help you with intelligent code completion, quick error checking and quick fixes, project navigation, and many other things. The IDE allows you to write clean and maintainable code and helps you maintain control of quality with PEP8 tests, testing assistance and smart refactorings. PyCharm was created by programmers for programmers to give you all the tools you need to create Python code. PyCharm offers smart code completion, code inspections and quick-fixes. It also includes automated code refactorings.

IntelliJ IDEA by JetBrains is an IDE for professional Java and Kotlin development. It unlocks productivity and helps you write high quality code with ease. It is designed to get the job finished. It provides all the essential tools and support for cutting-edge technologies you need. It lets you code with ease and confidence thanks to a comfortable, smooth workflow and a strong emphasis on privacy and security.

SonarQube Cloud (formerly SonarCloud) automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

All Go developers, whether they are newbies or professionals, can use the on-the-fly error identification and suggestions to fix it. One-step undo and intelligent code completion are all available. Documentation hints and dead code detection are also available. It takes a lot of effort and time to understand legacy, team, and foreign projects. GoLand code navigation allows you to quickly switch between shadowed methods, implementations and usages. You can jump between files, types, and other symbols. You can also find their usages, and examine them with a convenient grouping by type. You can run and debug your applications with powerful built-in tools. You can create and debug tests with no additional plugins or configuration work, and you can test your applications directly in the IDE. The IDE includes a built-in Code Coverage tool to ensure that your tests do not miss any important information.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

This simple command-line tool can be used to gather test coverage information from DartVM tests. This tool is useful for generating coverage reports locally during development.

Simple JavaScript test coverage. Istanbul instruments your ES5 JavaScript code with linecounters. This allows you to track how well your unit tests exercise your codebase. The nyc command line-client for Istanbul is compatible with most JavaScript testing frameworks (tap, mocha, AVA etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul. Support for JavaScript testing frameworks. Use the nyc command line interface to instrument subprocesses. It is easy to add coverage to your mocha test. Simply add the command nyc to your existing test command. The instrument command of nyc can be used to inspect source files in a context other than your unit tests. nyc can show you the Node processes that were spawned while running a test script. By default, nyc uses Istanbul’s text reporter. You can however specify an alternative reporter.

A seamless JavaScript code coverage library. Blanket.js, a JavaScript code coverage tool, is easy to install, use, and understand. Blanket.js is easy to use and can be customized to your specific needs. JavaScript code coverage complements your JavaScript tests by including code coverage statistics (which lines in your source code are covered) Parsing the code with Esprima and Node-falafel and instrumenting the file using code tracking lines. After the tests are completed, connect to hooks in test runner to get the coverage details. Grunt has been made to allow Blanket to be used as a code coverage tool. This allows you to create instrumented copies from physical files instead of live-instrumenting. PhantomJS runs the QUnit-based Blanket report without any input. The console displays the results. Grunt will fail if you don't meet any coverage thresholds.

jscoverage tool with JavaScript and node.js support. Increase the coverage range. The jscoverage module can be loaded using mocha. When you select list, spec, or tap reporter in mocha, jscoverage will add coverage information. To specify the reporter, such as HTML or detail, you can use covout. The detail reporter will display the uncovered code directly in the console. Mocha runs a test case using the jscoverage module. jscoverage will not list files in the covignore directory. jscoverage will produce a report in HTML format. jscoverage will insert a set of functions into your module exports. Default jscoverage will search for covignore within the project root. jscoverage will copy excluded files from the source directory into the destination directory.

We help you deliver code confidently. Open-source repositories are free. Pro accounts are available for private repositories. Sign up instantly through Bitbucket and Gitlab. It is vital to maintain a well-tested codebase. It can be difficult to identify the areas where your tests are failing. It's not difficult to find where your tests are lacking. You already run your tests on a continuous-integration server. Coveralls works in conjunction with your CI server to scan your coverage data and find issues before they become a problem. If you are only running your code coverage locally you won't see any changes or trends that occurred during your entire development cycle. Coveralls allows you to view every detail of your coverage, with unlimited history. Coveralls makes it easy to track your code coverage. You can see where you stand with untested code. You can be confident that your code is protected.

Early is an AI tool that automates the generation and maintenance unit tests. It improves code quality and accelerates development processes. Early integrates with Visual Studio Code to allow developers to create verified and validated tests directly from the codebase. This covers a variety of scenarios including edge cases and happy paths. This approach increases code coverage and helps identify potential issues earlier in the development cycle. Early supports TypeScript and JavaScript languages and is compatible with test frameworks like Jest and Mocha. The tool provides a seamless experience, allowing users to quickly access generated tests and refine them to meet specific requirements. Early automates the testing process to reduce the impact on bugs, prevent code regressions, and boost development speed, ultimately leading to a release of better-quality software.

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. CTC++ can also be used on Objective-C, Java, and C# code with certain add-on components. CTC++ can also be used with certain add-ons to analyse code on any embedded target machine, even in very small ones (limited RAM, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. CTC++ is a dynamic analysis tool that displays the execution counters of the code (how many times it has been executed), i.e. CTC++ provides more information than just executed/not executed information. CTC++ can also be used to measure the execution cost of function functions (normally time) or to allow function entry/exit traceability at test time. CTC++ is simple to use.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.