Search Results for "test coverage"
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Showing 184 open source projects for "test coverage"
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Coverage.jl
Take Julia code coverage and memory allocation results, do useful thin
Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code. This can reveal problems like type instability, or... -
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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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Qodo Cover
AI tool that generates tests to improve code coverage quickly
...It follows an iterative workflow where generated tests are executed, validated, and refined to ensure they contribute meaningful coverage improvements. Internally, Qodo Cover uses a modular architecture that includes components for prompt generation, AI interaction, coverage analysis, and test validation. It supports scanning entire repositories to automatically detect test files, gather relevant context, and extend test suites accordingly. -
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Keploy
Testing for Developers. Toolkit that creates test-cases and data mocks
...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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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. ... -
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Coverlet
Cross platform code coverage for .NET
...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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Infection
PHP Mutation Testing library
Infection is a PHP mutation testing framework used to evaluate the quality and effectiveness of test suites. It works by introducing small changes (mutations) into the codebase and checking whether the existing tests catch them. If a mutation passes undetected, it suggests that the tests may be insufficient. Infection integrates with PHPUnit and helps developers strengthen their test coverage and logic. -
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Pitest
State of the art mutation testing system for the JVM
PIT is a state of the art mutation testing system, providing gold standard test coverage for Java and the jvm. It's fast, scalable and integrates with modern test and build tooling. Faults (or mutations) are automatically seeded into your code, then your tests are run. If your tests fail then the mutation is killed, if your tests pass then the mutation lived. As it is actually able to detect whether each statement is meaningfully tested, mutation testing is the gold standard against which all other types of coverage are measured. ... -
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QA Wolf
Create browser tests 10x faster
...We found browser testing too difficult and often gave up on it entirely in our previous jobs. We built QA Wolf for developers like us who want to spend less time testing and more time shipping. QA Wolf is zero-effort automated QA. We get you to 80% coverage in four months, and keep you there, so your team can stay focused on shipping. 2/3 of tech companies have less than 50% test coverage. Why? Traditional QA strategies pit coverage against velocity. The more testing you do, the slower you ship. QA Wolf is different. By combining the best parts of in-house QA & test platforms, we deliver ultra-high end-to-end test coverage that never slows you down. ... -
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CodiumAI Cover-Agent
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation
CodiumAI Cover Agent aims to help efficiently increasing code coverage, by automatically generating qualified tests to enhance existing test suites. -
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Atheris
A Coverage-Guided, Native Python Fuzzer
Atheris is a coverage-guided fuzzer for CPython that treats Python as a first-class fuzzing target, enabling rapid discovery of crashes and logic errors in pure-Python code and native extensions. It hooks into Python’s interpreter to collect fine-grained coverage and uses that signal to evolve inputs, pushing programs into previously unexplored code paths. -
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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... -
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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... -
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urllib3
Python HTTP library with thread-safe connection pooling
...File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, brotli, and zstd encoding. Proxy support for HTTP and SOCKS. 100% test coverage. Professional support for urllib3 is available as part of the Tidelift Subscription. Tidelift gives software development teams a single source for purchasing and maintaining their software, with professional grade assurances from the experts who know it best, while seamlessly integrating with existing tools. -
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syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer
syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable reports. ... -
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NUnit 3 Framework
NUnit 3 Framework
NUnit is a unit-testing framework for all .Net languages. Initially ported from JUnit, the current production release, version 3, has been completely rewritten with many new features and support for a wide range of .NET platforms. NUnit is intended to be extensible. We can't do everything for everybody but we want to make it reasonably easy to extend NUnit. In many cases, users will be able to implement a special feature outside of our scope by simply creating a new attribute that embeds the... -
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Linkify
JavaScript plugin for finding links in plain-text and converting them
...Detect URLs and email addresses #hashtag, @mention and #-ticket plugins. React and jQuery support. Multi-language and emoji support. Custom link plugins. Fast, accurate, and small footprint (~20kB minified, ~11kB gzipped) 99% test coverage. Compatible with all modern browsers (Internet Explorer 11 and up). By default Linkify will only detect and highlight web URLs and e-mail addresses. Plugins for @mentions, #hashtags and more may be installed separately. -
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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. ... -
19
Pester
Pester is the ubiquitous test and mock framework for PowerShell
...Beyond unit tests, Pester supports integration tests and can mock functions and modules so external side effects (network, registry, file system) are faked during runs. It integrates with CI systems easily—returning standard exit codes and generating NUnit/JUnit-style test reports—so PowerShell codebases can be validated in automated pipelines. The framework evolves with PowerShell itself, adding features for parallel execution, code coverage measurement, and test discovery to meet production needs. For teams, Pester encourages test-driven development and makes PowerShell deliverables more maintainable and trustworthy. -
20
tapjs
Test Anything Protocol tools for node
...The API is simple but powerful. t.test() and a few assertions are all you really need. Everything is statically typed, so your editor can tell you what's available. Remember less, just write some tests. An easily extensible TAP test framework, with outstanding TypeScript support, a CLI, plenty of assertion methods, snapshots, object/method spies, module mocking, file system fixtures, lifecycle hooks, test filtering, comprehensive code coverage analysis, color-accessible test reporters, and more. Software testing is a software and user experience design challenge that balances on the intersection of many conflicting demands. -
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Starlette
The little ASGI framework that shines
...It is production-ready and gives you a lightweight, low-complexity HTTP web framework. WebSocket support. In-process background tasks. Startup and shutdown events. Test client built on httpx. CORS, GZip, Static Files, streaming responses. Session and Cookie support. 100% test coverage. 100% type annotated codebase. Few hard dependencies. Compatible with asyncio and trio backends. -
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Jazzer
Coverage-guided, in-process fuzzing for the JVM
Jazzer is a coverage-guided, in-process fuzzer for the JVM platform developed by Code Intelligence. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM. -
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Symfony PHPUnit Bridge
Provides utilities for PHPUnit
Symfony PHPUnit Bridge is a tool that facilitates unit and functional testing within Symfony applications. It enhances PHPUnit’s capabilities by providing better integration, including improved error reporting and test isolation. The bridge supports deprecation notices, legacy code compatibility, and automatic configuration for running tests efficiently. -
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Masto.js
Universal Mastodon API client for JavaScript
Universal Mastodon API client for JavaScript. -
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KIF
An iOS functional testing framework
KIF, which stands for Keep It Functional, is an iOS integration test framework. It allows for easy automation of iOS apps by leveraging the accessibility attributes that the OS makes available for those with visual disabilities. KIF builds and performs the tests using a standard XCTest testing target. Testing is conducted synchronously in the main thread (running the run loop to force the passage of time) allowing for more complex logic and composition. This also allows KIF to take advantage...
