Open Source Software Testing Tools - Page 8
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Software Testing Tools
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Hitchhiker
A restful API test tool
Hitchhiker API is a Restful Api integrated testing tool that supports Schedule, Response comparison, Stress Test, support upload js file to hook request, easy to deploy it in your local server. It makes it easier to manage API with your team. API collaboration development with team. Api history. Multiple environments and Runtime variables support, easy to handle api dependence. Assert based on UI. Powerful script, support requiring any js lib which upload to project, read excel, cryptographic, no can't do. Request parameterization, including ManytoMany and OnetoOne, now you can use a request to handle multiple situations like various query strings, bodies. Make a comparison for Api's response between two different environments (eg: stage vs product). Support Handling response before comparing. Easy to deploy (support docker, windows, Linux), keep data in your control, never lose data. All changes will be auto-saved in the local cache even if refresh page. -
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Insider
Static Application Security Testing (SAST) engine
Static Application Security Testing (SAST) engine focused on covering the OWASP Top 10, to make source code analysis to find vulnerabilities right in the source code, focused on agile and easy-to-implement software inside your DevOps pipeline. Support the following technologies: Java (Maven and Android), Kotlin (Android), Swift (iOS), .NET. Insider is focused on covering the OWASP Top 10, to make source code analysis to find vulnerabilities right in the source code, focused on a agile and easy to implement software inside your DevOps pipeline. We currently support the following technologies: Java (Maven and Android), Kotlin (Android), Swift (iOS), .NET Full Framework, C#, and Javascript (Node.js). -
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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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K8tools
Security- and exploitation-oriented utilities and proof-of-concepts
K8tools is a large, curated GitHub repository collecting dozens (hundreds) of security- and exploitation-oriented utilities, proof-of-concepts, and payloads aimed at penetration testing, privilege escalation, and vulnerability exploitation. The project bundles exploits for many well-known CVEs, remote get-shell scripts, local privilege-escalation helpers, credential-harvesting utilities, scanning and brute-force tools, and a variety of platform-specific binaries and archives organized into folders for quick browsing. The README and repository metadata present it as an “all-in-one” toolkit for offensive security tasks, with many archived executables, exploit payloads, and helper scripts (including PowerShell and Python examples) that target services such as WebLogic, Tomcat, Zimbra, Struts2, Zabbix and others. The repo is actively starred and forked by the community, shows a long commit history, and includes many archived artifacts. -
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KeepingYouAwake
Prevents your Mac from going to sleep
KeepingYouAwake is a small menu bar utility for macOS (Version 10.12 and newer) that can prevent your Mac from entering sleep mode for a predefined duration or as long as it is activated. The app is a small wrapper around Apple's caffeinate command line utility. All current versions of macOS ship with this tool by default. On a MacBook this only works as long as the lid is open. This utility will not harm your Mac because it is based on an official command line tool by Apple. Version 1.5.2 is the latest release that supports macOS Yosemite and El Capitan. KeepingYouAwake uses Sparkle's ui-separation-and-xpc branch to deliver updates. You can build and sign Sparkle with make Vendor. To build a release version of the app just run make dist. -
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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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LCOV
LCOV
LCOV is an extension of GCOV, a GNU tool that provides information about what parts of a program are actually executed (i.e. "covered") while running a particular test case. The extension consists of a set of Perl scripts that builds on the textual GCOV output to implement the following enhanced functionality, -
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Learn Go with Tests
Learn Go with test-driven development
Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing the fundamentals of the language by reading through go by example, exploring them with examples and discussing them as a group. This was a more interactive approach than "read chapter x for homework". Over time the team gained a solid foundation of the grammar of the language so we could then start to build systems. This is for people who are interested in picking up Go and/or people who already know some Go, but want to explore testing more. -
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Nuke
Image loading system
Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Pacu
The AWS exploitation framework, designed for testing security
Pacu (named after a type of Piranha in the Amazon) is a comprehensive AWS security-testing toolkit designed for offensive security practitioners. While several AWS security scanners currently serve as the proverbial “Nessus” of the cloud, Pacu is designed to be the Metasploit equivalent. Written in Python 3 with a modular architecture, Pacu has tools for every step of the pen testing process, covering the full cyber kill chain. Pacu is the aggregation of all of the exploitation experience and research from our countless prior AWS red team engagements. Automating components of the assessment not only improves efficiency but also allows our assessment team to be much more thorough in large environments. What used to take days to manually enumerate can be now be achieved in minutes. There are currently over 35 modules that range from reconnaissance, persistence, privilege escalation, enumeration, data exfiltration, log manipulation, and miscellaneous general exploitation. -
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Playbook
A library for isolated developing UI components
A library for isolated developing UI components and automatically taking snapshots of them. Playbook is a library that provides a sandbox for building UI components without having to worry about application-specific dependencies, strongly inspired by Storybook for JavaScript in web-frontend development. Components built by using Playbook can generate a standalone app as living style guide. This allows you to not only review UI quickly but also deliver more robust designs by separating business logics out of components. Besides, snapshots of each component can be automatically generated by unit tests, and visual regression testing can be performed using arbitrary third-party tools. For complex modern app development, it’s important to catch UI changes more sensitively and keep improving them faster. With the Playbook, you don't have to struggle through preparing the data and spend human resources for manual testings. -
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PowerfulSeal
A powerful testing tool for Kubernetes clusters.
PowerfulSeal injects failure into your Kubernetes clusters so that you can detect problems as early as possible. It allows for writing scenarios describing complete chaos experiments. -
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Quick
The Swift (and Objective-C) testing framework
Quick is a behavior-driven development framework for Swift and Objective-C. Inspired by RSpec, Specta, and Ginkgo. Quick comes together with Nimble, a matcher framework for your tests. Certain versions of Quick and Nimble only support certain versions of Swift. Depending on which version of Swift your project uses, you should use specific versions of Quick and Nimble. When code doesn't work the way it's supposed to, unit tests should make it clear exactly what's wrong. Nimble makes your test assertions, and their failure messages, easier to read. Nimble provides many different kind of assertions, each with great failure messages. And unlike XCTAssert, you don't have to type your own failure message every time. All documentation can be found in the Documentation folder, including detailed installation instructions for CocoaPods, Carthage, Git submodules, and more. -
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RSpec Rails
RSpec for Rails 5+
RSpec Rails brings the RSpec testing framework to Ruby on Rails as a drop-in alternative to its default testing framework, Minitest. In RSpec, tests are not just scripts that verify your application code. They’re also specifications (or specs, for short): detailed explanations of how the application is supposed to behave, expressed in plain English. RSpec follows semantic versioning, which means that “major version” upgrades (e.g., 2.x → 3.x) come with breaking changes. If you’re upgrading from version 2.x or below, read the rspec-rails upgrade notes to find out what to watch out for. In RSpec, assertions are called expectations, and every expectation is built around a matcher. When you expect(a).to eq(b), you’re using the eq matcher. RSpec Rails defines ten different types of specs for testing different parts of a typical Rails application. Each one inherits from one of Rails’ built-in TestCase classes, meaning the helper methods provided by default in Rails tests are available. -
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Request Factories
Test requests in Laravel without all the boilerplate
Test requests in Laravel without all the boilerplate. -
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Schemathesis
Guarantee flawless API functionality with test scenarios
Guarantee flawless API functionality with thorough, high-quality test scenarios generated from your API specification. Schemathesis is a specification-centric API testing tool for Open API and GraphQL-based applications. It reads the application schema and generates test cases, which will ensure that your application is compliant with its schema and never crashes. The application under test could be written in any language; the only thing you need is a valid API schema in a supported format. Simple to use and yet powerful to uncover hard-to-find errors thanks to the property-based testing approach backed by state-of-the-art Hypothesis library. Schemathesis uses your API's schema to generate both valid and invalid test scenarios, helping you verify API compliance and catch potential issues. It also verifies examples from the schema itself. -
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Storycap
A Storybook Addon, Save the screenshot image of your stories
Storycap crawls your Storybook and takes screenshot images. It is primarily responsible for image generation necessary for Visual Testing such as reg-suit. -
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Template Studio
Template Studio accelerates the creation of new WinUI 3, WPF, etc.
Template Studio is a suite of Visual Studio 2022 extensions that accelerate the creation of new WinUI 3, WPF, and UWP apps using a wizard-based experience. Projects created with these extensions contain well-formed, readable code and incorporate the latest development features while implementing proven patterns and leading practices. The generated code includes links to documentation and TODO comments that provide useful insight and guidance for turning the generated projects into production applications. To get started, install the appropriate extension, then select the corresponding Template Studio project template when creating a new project in Visual Studio. Name your project, then click Create to launch the Template Studio wizard. Specify which capabilities you want to use in your app, and we'll build out the framework for the features in your app, tagging TODO items. Here you can add features that enable your app to interact with storage, notifications, layout theming, etc. -
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Testify
Thou Shalt Write Tests in Go
Testify is a Go (golang) toolkit with common assertions and mocks for testing your code. It features a specific set of packages, namely: assert package, which allows for better, more readable test code in Go; require package, which is similar to the assert package but instead of returning a boolean result, terminates the current test; mock package, which allows for easy writing of mock objects; and the suit package, which provides functionality similar to those of more common object oriented languages. Testify is easy to install or update, and supports the three major Go versions (1.11, 1.12 and 1.13). -
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Testinfra
Testinfra test your infrastructures
With Testinfra you can write unit tests in Python to test the actual state of your servers configured by management tools like Salt, Ansible, Puppet, Chef and so on. Testinfra aims to be a Serverspec equivalent in python and is written as a plugin to the powerful Pytest test engine. By default Testinfra launches tests on the local machines, but you can also test remotes systems using paramiko. If you have a lot of tests, you can use the pytest-xdist plugin to run tests using multiple processes. When installing, you should select the backends you require as extras to ensure Python dependencies are satisfied (note various system packaged tools may still be required). This is the default backend when a hosts list is provided. Paramiko is a Python implementation of the SSHv2 protocol. Testinfra will not ask you for a password, so you must be able to connect without a password (using passwordless keys or using ssh-agent). -
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VCR.py
Automatically mock your HTTP interactions to simplify testing
Automatically mock your HTTP interactions to simplify and speed up testing. VCR.py simplifies and speeds up tests that make HTTP requests. The first time you run code that is inside a VCR.py context manager or decorated function, VCR.py records all HTTP interactions that take place through the libraries it supports and serializes and writes them to a flat file (in yaml format by default). This flat file is called a cassette. When the relevant piece of code is executed again, VCR.py will read the serialized requests and responses from the aforementioned cassette file, and intercept any HTTP requests that it recognizes from the original test run and return the responses that corresponded to those requests. This means that the requests will not actually result in HTTP traffic, which confers several benefits including: -
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Zerocode
API automation and load testing framework
A community-developed, free, open source, microservices API automation and load testing framework built using JUnit core runners for Http REST, SOAP, Security, Database, Kafka and much more. Zerocode Open Source enables you to create, change, orchestrate and maintain your automated test cases declaratively with absolute ease. Zerocode makes it easy to create and maintain automated tests with absolute minimum overhead for REST,SOAP, Kafka Real Time Data Streams and much more. It has the best of best ideas and practices from the community to keep it super simple, and the adoption is rapidly growing among the developer/tester community. Zerocode is a modern lightweight, simple and extensible open-source framework for writing test intentions in simple JSON or YAML format that facilitates both declarative configuration and automation. Put simply, Zerocode alleviates pain and brings simplicity to modern API automation. -
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chai
BDD / TDD assertion framework for node.js
Chai is a BDD / TDD assertion library for node and the browser that can be delightfully paired with any javascript testing framework. Chai has several interfaces that allow the developer to choose the most comfortable. The chain-capable BDD styles provide an expressive language & readable style, while the TDD assert style provides a more classical feel. Plugins extend Chai's assertions to new contexts such as vendor integration & object construction. Developers can build their own plugins to share with community or use the plugin pattern to DRY up existing tests. You can also use it within the browser; install via npm and use the chai.js file found within the download. Browse our growing directory of custom plugins & vendor integrations to find the best tool for your needs. Chai has an extensive utility belt for plugin developers. Learn how to build your plugins & share. -
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cocoyaxi
A go-style coroutine library in C++11 and more
cocoyaxi (co for short), is an elegant and efficient cross-platform C++ base library. It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. Simple test on Linux shows that 10 millions of coroutines only take 2.8G of memory (for reference only). There is a flat relationship between coroutines, and new coroutines can be created from anywhere (including in coroutines). Support system API hook (Windows/Linux/Mac), you can directly use third-party network library in coroutine. -
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dockerize
Utility to simplify running applications in docker containers
Utility to simplify running applications in docker containers. dockerize is a utility to simplify running applications in docker containers. It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command.
