Open Source Linux Code Coverage Tools
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Code Coverage Tools for Linux
View 44 business solutionsBrowse free open source Code Coverage tools and projects for Linux below. Use the toggles on the left to filter open source Code Coverage tools by OS, license, language, programming language, and project status.
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Steel Bank Common Lisp
Common Lisp compiler and runtime
A high performance Common Lisp compiler. In addition to standard ANSI Common Lisp, it provides an interactive environment including an a debugger, a statistical profiler, a code coverage tool, and many other extensions. -
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EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License. It brings code coverage analysis directly into the Eclipse workbench. The EclEmma project is also the home of the JaCoCo code coverage library which is the technical back-end for EclEmma and also has integrations with many other build and software quality tools.
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SBCL
Mirror of Steel Bank Common Lisp (SBCL)'s repository
Steel Bank Common Lisp (SBCL) is a high-performance Common Lisp compiler. It is open-source/free software, with a permissive license. In addition to the compiler and runtime system for ANSI Common Lisp, it provides an interactive environment including a debugger, a statistical profiler, a code coverage tool, and many other extensions. SBCL runs on Linux, various BSDs, macOS, Solaris, and Windows. See the download page for supported platforms, and the getting started guide for additional help. SBCL is available in source and binary form for a number of different architectures. SBCL is available in binary form for many architectures. To obtain the latest binary release for your system, visit the platform support page and click on the green square which indicates your platform. You can install SBCL to a different directory prefix by setting the INSTALL_ROOT environment variable before running the installation script. -
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NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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PHP Code Coverage
Collection, processing, and rendering functionality for PHP code
The php-code-coverage library, authored by Sebastian Bergmann, enables collection, processing, and rendering of PHP code coverage data. It integrates with PHPUnit or other testing frameworks to track which lines, methods, or classes are executed during tests. The library supports generating detailed reports in formats like HTML, Clover, or XML, helping teams understand test completeness and identify untested code paths. -
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Solana
Web-scale blockchain for fast, secure, scalable, decentralized apps
Solana is the fastest blockchain in the world and the fastest-growing ecosystem in crypto, with thousands of projects spanning DeFi, NFTs, Web3 and more. Integrate once and never worry about scaling again. Solana ensures composability between ecosystem projects by maintaining a single global state as the network scales. Never deal with fragmented Layer 2 systems or sharded chains. Solana's scalability ensures transactions remain less than $0.01 for both developers and users. Solana is all about speed, with 400 millisecond block times. And as hardware gets faster, so does the network. Not only is Solana ultra-fast and low cost, but it is also censorship-resistant. This means the network will remain open for applications to run freely and transactions will never be stopped. Help secure the network by running decentralized infrastructure. Learn about operating a validator node. See the get started guide, videos, tutorials, SDKs, reference implementations, and more. -
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Keploy
Testing for Developers. Toolkit that creates test-cases and data mocks
Keploy is a functional testing toolkit for developers. It generates E2E tests for APIs (KTests) along with mocks or stubs(KMocks) by recording real API calls. KTests can be imported as mocks for consumers and vice-versa. Merge KTests with unit testing libraries(like Go-Test, JUnit..) to track combined test coverage. KMocks can also be referenced in existing tests or use anywhere (including any testing framework). KMocks can also be used as tests for the server. Keploy is added as a middleware to your application that captures and replays all network interaction served to the application from any source. Keploy has native interoperability as it integrates with popular testing libraries like go-test, junit. Code coverage will be reported with existing plus KTests. It'll also be integrated in CI pipelines/infrastructure automatically if you already have go-test, junit integrated. -
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Coverlet
Cross platform code coverage for .NET
Coverlet is a cross-platform code coverage framework for .NET, with support for line, branch and method coverage. It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet documentation reflect the current repository state of the features, not the released ones. Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. 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. -
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Code Quality and Security for C#
Code analyzer for C# and VB.NET projects
Sonar offers a single cohesive solution with a consistent set of metrics and hundreds of static analysis rules to detect your coding issues early. Plus fast and high-precision analysis means high value, low noise, and reliable results always. A single solution for dozens of popular languages, development frameworks and IaC platforms. Our powerful language-specific analysis not only detects coding issues but also helps you understand what's wrong and how to fix it. Our publicly available ruleset includes thousands of rules covering various issue categories and language standards. Open the rule in SonarQube / SonarCloud, scroll down and (in case the rule has parameters), you can configure the parameters for each Quality Profile the rule is part of. Standalone NuGet packages can be configured the same way as SonarLint in connected mode. -
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Essential React
A minimal skeleton for building testable React apps using Babel
A minimal skeleton for building testable React apps using Babel. The design goals are to use fewer tools (no yeoman, gulp, bower, etc...) Babel 6 with Webpack and Hot Loader. Fast testing with mocked-out DOM. Import CSS files as class names. Separate smart and dumb components. No specific implementation of Flux or data fetching patterns. A core philosophy of this skeleton app is to keep the tooling to a minimum. For this reason, you can find all the commands in the scripts section of package.json. This leverages React Hot Loader to automatically start a local dev server and refresh file changes on the fly without reloading the page. It also automatically includes source maps, allowing you to browse code and set breakpoints on the original ES6 code. Build minified app for production using the production shortcut. -
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GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. AWK was released in 1977, which makes it over 40 years old! Not bad for a domain-specific language that’s still used for one-liners on Unix command lines everywhere. GoAWK is a POSIX-compatible version of AWK, and additionally has a CSV mode for reading and writing CSV and TSV files. This feature was sponsored by the library of the University of Antwerp. Read the CSV documentation. -
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Jest
Delightful JavaScript Testing
Jest is a delightful, comprehensive JavaScript testing framework that works right out of the box for most JavaScript projects. It works on projects that use Babel, TypeScript, Angular, React, Node and so much more! It works fast and simple, capturing snapshots either alongside your tests or embedded inline to make testing and tracking changes over time a whole lot easier. Jest is designed to ensure the correctness of any JavaScript codebase. It has a great API, is well maintained and well documented, and can be extended to meet your exact requirements. Simply put, Jest just makes testing delightful! -
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CFONTS
Sexy fonts for the console
This is a silly little command line tool for sexy ANSI fonts in the console. Give your cli some love. cfonts detects what colors are supported on your platform. It sets a level of support automatically. In cfonts you can override this by passing in the FORCE_COLOR environment variable. All settings are optional and shown here with their default. You can use cfonts in your project without the direct output to the console. The package comes with a bunch of unit tests that aim to cover 100% of the code base. For more details about the code coverage check out coveralls. -
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Setup PHP in GitHub Actions
GitHub action to set up PHP with extensions, php.ini configuration
GitHub action to set up PHP with extensions, php.ini configuration, coverage drivers, and various tools. Setup PHP with required extensions, php.ini configuration, code-coverage support and various tools like composer in GitHub Actions. This action gives you a cross-platform interface to set up the PHP environment you need to test your application. Refer to Usage section and examples to see how to use this. Refer to the self-hosted setup to use the action on self-hosted runners. Operating systems based on the above Ubuntu and Debian versions are also supported on best effort basis. If the requested PHP version is pre-installed, setup-PHP switches to it, otherwise it installs the PHP version. Specific versions of extensions available on PECL can be set up by suffixing the extension's name with the version. This is useful for installing old versions of extensions that support end-of-life PHP versions. -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy to use CMake, a compiler and vscode to start a hello world project, but as soon as you start having multiple modules, with third party dependencies, testing, coverage, and other development things that a professional quality project needs, you start wasting hours and hours troubleshooting and configuring until you make it work. This starter project solves most of your problems, using the best practices for C++ development and modern CMake and allows you to get started in minutes rather than days. -
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Jacoco Android Gradle Plugin
Gradle plugin that creates JaCoCo test reports for Android unit tests
A Gradle plugin that auto-creates and configures JaCoCo code coverage tasks for each Android app/module variant, saving you from manual setup across build types and flavors. -
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SimpleCov
Code coverage for Ruby with a powerful configuration library
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites. 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. -
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django-webpack-loader
Transparently use webpack with django
Use webpack to generate your static bundles without django's static files or opaque wrappers. Django webpack loader consumes the output generated by webpack-bundle-tracker and lets you use the generated bundles in Django. Test cases cover Django>=2.0 on Python>=3.5. 100% code coverage is the target so we can be sure everything works anytime. It should probably work on older versions of Django as well but the package does not ship any test cases for them. Before configuring django-webpack-loader, let's first configure what's necessary on the webpack-bundle-tracker side. Update your Webpack configuration file (it's usually on webpack.config.js in the project root). Make sure your file looks like this (adapt to your needs). The generated compiled files will be placed inside the /assets/webpack_bundles/ directory and the file with the information regarding the bundles and assets (webpack-stats.json) will be stored in the project root. -
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PHP - Net_RouterOS
A client for the MikroTik RouterOS API protocol, written in PHP.
A client for the MikroTik RouterOS API protocol, written in PHP. Easy, tested and documented. All feedback welcomed. -
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EMMA is a fast Java code coverage tool based on bytecode instrumentation. It differs from the existing tools by enabling coverage profiling on large scale enterprise software projects with simultaneous emphasis on fast individual development.
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Covered is a Verilog code coverage utility using VCD/LXT/FST dumpfiles (or VPI interface) and the design to generate line, toggle, memory, combinational logic, FSM state/arc and assertion coverage report metrics viewable via GUI or ASCII format. This project is ported to github and can be found at: https://github.com/chiphackers/covered
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A group of Java-based testing tools and JUnit extensions aimed at increasing quality awareness and ease of introduction of testing tools into the development cycle. Examples are Automated documentation, class hierarchy unit testing, and code coverage.
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pascal p5c
fast, portable Pascal compiler using gnu c as intermediate code
p5c is a fast portable iso standard pascal compiler. It is derived from the pascal p5 compiler and creates gnu c code instead of p-code. This makes it very fast since it uses gcc to generate native code. p5c is multi platform - it is easy to get up and running since you only need gcc to start. Using gcc enables extra tools like a static analyser and code coverage analyser. Execution profiling described in the blog here -> https://sourceforge.net/p/pascal-p5c/blog/2017/07/how-to-use-profiling-to-speed-up-p5c-pascal-programs It extends p5 by adding arbitrary set limits and conformant arrays. The project also contains p5x - pascal with extensions to the standard pascal language (underscores allowed in identifiers, otherwise in case statement, constant expressions, etc) -
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JSCover
JSCover - JavaScript code coverage
JSCover is a tool that measures code coverage for JavaScript programs. It is an enhanced Java implementation of the excellent JSCoverage tool.
