Open Source Linux Software Testing Tools - Page 8
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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Unit testing, mock objects and web testing framework for PHP built around test cases. If you know JUnit/JMock or some of the PHPUnit clones this will need no explanation. Includes a native web browser for testing web sites directly (no JavaScript).
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Marathon -GUI Test Runner Web, Swing, FX
Marathon supports testing of Java/Swing and Java/Fx applications.
Marathon provides an integrated environment for test script creation and execution. Supported FW: Web, Java Swing/ Java FX. Currently, Marathon supports JRuby script models for recording the test scripts.Marathon test runner generates Allure test reports.Marathon allows for grouping of test cases.It also has an option of inserting modules while recording(in MarathonITE while recording). It allows tester to inset checklist while recording and also takes screen capture and annotate it in playing the test cases. Extraction of code into modules and inserting it is very easy using marathon.It has different themes of UI which attracts tester to do work on it. Object mapping is quite simple and configuring is very easy for tester to understand and do the work. Debugging of test scripts is also easy and has script console which takes selenium commands. Slow play of test cases is also available.It allows to create multiple fixtures for different types of tests. -
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Turtle
C++ mock objects for Boost
Turtle is a C++ mock object library based on Boost with a focus on usability, simplicity and flexibility. -
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robotide
Eclipse plugin for writing RobotFramework tests
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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BigCache
Efficient cache for gigabytes of data written in Go
To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases. -
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CAT
CAT is the basic component of the server project
CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be traced end-to-end. Alert rules and anomaly detection can be defined to notify teams proactively. The system supports multiple data backends and ingestion pipelines to collect data from JVM, C/C++, Python, and other ecosystems. With the collected data, Cat supports analysis of hotspots, trending anomalies, and capacity planning to drive continuous reliability improvements. -
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Computer Science Flash Cards
Mini website for testing both general CS knowledge and enforce coding
This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical definitions or contrasts (e.g., stack vs. queue, BFS vs. DFS) to strengthen conceptual boundaries. The material favors clarity and breadth over exhaustive proofs, making it ideal for quick refreshers during a study plan. It complements longer resources by giving you a lightweight way to keep key concepts top of mind. -
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DevSec Hardening
This Ansible collection provides battle tested hardening
Hardening adds a layer into your automation framework, that configures your operating systems and services. It takes care of difficult settings, compliance guidelines, cryptography recommendations, and secure defaults. Running secure infrastructure is a difficult task. Although server hardening is a well-known topic with many guides out in the wild, it is still very cumbersome to apply and verify secure configuration. If you manage many server, they need to be configured properly and maintained, which is difficult and time-consuming to get right. To answer these needs for security, compliance, and maintainability, we decided to launch this project as a common ground for requirements and their fulfillment. The project founders where tasked with the challenge to automate different security requirements of Deutsche Telekom for their infrastructure. Deutsche Telekom, T-Labs and Telekom Security funded the initial research and allowed the team to open source the automation. -
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Faker
A PHP library that generates fake data for you
Faker is a PHP library designed to generate fake data. It can create fake data by accessing properties named after the type of data you want. Faker’s generators have several packaged generator properties, known as formatters. These bundled formatters can be found in the default locale, and include person, address, phone number, company, date-time and more. Faker is also capable of localization, taking a locale as an argument and returning localized data. It can also populate entities using an ORM or an ODM, and features language-specific formatters as well. If you need to bootstrap your database, fill-in your persistence for stress testing, or anonymize data taken from a production service, Faker is a great choice for you. -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Gatling Studio
Desktop app that helps you craft Gatling load-testing simulations
Gatling Studio is a native desktop application created to simplify the creation of Gatling load-testing simulations from real browser traffic. Instead of hand-writing scenarios in Scala or Java from scratch, you use Gatling Studio to drive a Chromium-based browser through a typical user journey. The tool captures all HTTP and HTTPS requests and responses, saves them as a HAR file, and then automatically converts that data into a structured Gatling project with groups, pauses, and exec blocks. It includes logic to filter out noisy or irrelevant requests such as font files, analytics beacons, and static assets, so the generated scenario focuses on the core business interactions. The output is a ready-to-run Gatling project (Java/Maven) that can be executed locally or uploaded to Gatling Enterprise to run at scale. Gatling Studio targets performance engineers and QA teams who want a low-code path from “record what a user does in the browser” to “run a realistic load test.” -
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GoConvey
Go testing in the browser, integrates with `go test`
Welcome to GoConvey, a yummy Go testing tool for gophers. Works with go test. Use it in the terminal or browser according to your viewing pleasure. GoConvey supports Go's native testing package. Neither the web UI nor the DSL are required; you can use either one independently. Readable, colorized console output (understandable by any manager, IT or not). As long as GoConvey is running, test results will automatically update in your browser window. The design is responsive, so you can squish the browser real tight if you need to put it beside your code. The web UI supports traditional Go tests, so use it even if you're not using GoConvey tests. Since GoConvey integrates with go test, you can keep running tests in the terminal or use the auto-updating web UI for test results. Though writing tests with Convey() and So() is optional, it's more expressive than t.Errorf(). -
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Happo
Visual diffing in CI for user interfaces
Happo is a visual regression testing tool. It hooks into your CI environment to compare the visual appearance of UI components before and after a change. Screenshots are taken in different browsers and across different screen sizes to ensure consistent cross-browser and responsive styling of your application. The first thing you want to do is to set up a test suite for Happo. A test suite consists of a set of components and variants of those components. There are many ways to do this, and it all depends on your existing tech stack, your application, your experience with other test frameworks, and more. -
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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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Jest Puppeteer
Run your tests using Jest & Puppeteer
Most continuous integration platforms limit the number of threads one can use. If you have more than one test suite running puppeteer chances are that your test will timeout. This is because jest will try to run puppeteer in parallel and the CI platform won't be able to handle all the parallel jobs in time. A fix to this is to run your test serially when in a CI environment. Users have discovered that running test serially in such environments can render up to 50% of performance gains. Writing integration test can be done using Puppeteer API but it can be complicated and hard because API is not designed for testing. Debugging tests can be hard sometimes and it is very useful to be able to pause tests in order to inspect the browser. Jest Puppeteer exposes a method jestPuppeteer.debug() that suspends test execution and gives you the opportunity to see what's going on in the browser. -
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Karma
Test Runner for JavaScript
The main goal for Karma is to bring a productive testing environment to developers. The environment being one where they don't have to set up loads of configurations, but rather a place where developers can just write the code and get instant feedback from their tests. Because getting quick feedback is what makes you productive and creative. Test your code on real browsers and real devices such as phones, tablets or on a headless PhantomJS instance. Control the whole workflow from the command line or your IDE - just save a file and Karma will run all the tests. Describe your tests with Jasmine, Mocha, QUnit, or write a simple adapter for any framework you like. Developed for and maintained by the open source community at GitHub. Easy debugging directly from your IDE via WebStorm or Google Chrome. Simple integration with Jenkins, Travis or Semaphore. -
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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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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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Sylius
Open source eCommerce platform on Symfony
Sylius provides modern software and development practices that encode a customer-centric approach and agility in your team's processes and technology stack. This holistic strategy unleashes your full potential and makes sure that your business adapts to the ever-changing demands of local and global commerce markets. Sylius is an Open Source Headless eCommerce Platform for mid-market and enterprise brands that need custom solutions. With a modern approach to the professional development of projects, it allows the evolution of your digital stack at the pace that beats your competitors and delivers the experience your Customers deserve. Sylius comes with a powerful REST API that can be customized and play well with the frontend of your choice or your architecture of microservices. If you are a Symfony developer and wondering. Sylius will accelerate the growth of your business and adjust to your evolving needs. -
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Testcontainers node
Supports tests, providing lightweight, throwaway instances of database
Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your database to test your data access layer code for complete compatibility, without requiring a complex setup on developer machines. Trust that your tests will always start with a known state. Use containerized web browsers, compatible with Selenium, to run automated UI tests. Each test gets a fresh, clean instance of the browser, without having to worry about variations in plugins or required updates. -
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TimerOutputs.jl
Formatted output of timed sections in Julia
TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs. -
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VBot
JSON based visual regression testing library
A visual regression testing library/tool, aims to quickly automate browser-based tests with minimum development overhead. To test flexibly in different testing scenarios, either testing against web UI wired with backends or just static web pages, VBot exposes API to be used with testing frameworks like mocha or ava, etc. Therefore, the test data variables can be updated according to different conditions, in order to decouple from real backends and avoid false negative results. -
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httpexpect
End-to-end HTTP and REST API testing for Go
Concise, declarative, and easy-to-use end-to-end HTTP and REST API testing for Go (golang). Basically, httpexpect is a set of chainable builders for HTTP requests and assertions for HTTP responses and payload, on top of net/http and several utility packages. URL path construction, with simple string interpolation provided by go-interpol package. URL query parameters (encoding using go-querystring package). Headers, cookies, payload: JSON, urlencoded or multipart forms (encoding using form package), plain text. Custom reusable request builders and request transformers. Type-specific assertions, supported types: object, array, string, number, boolean, null, datetime. Regular expressions. Simple JSON queries (using subset of JSONPath), provided by jsonpath package. JSON Schema validation, provided by gojsonschema package. -
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phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript code of the page phantomas is run against (thanks to helper functions available in window.__phantomas). Device profiles allow phantomas to emulate mobile or tablet (by setting a proper user agent and viewport). phantomas comes as a CommonJS module that you can use in your nodejs projects. Use grunt to automate daily dev tasks, including your's application web performance. -
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trust
Travis CI and AppVeyor template to test your Rust crate
Travis CI and AppVeyor template to test your Rust crate on 5 architectures and publish binary releases of it for Linux, macOS and Windows. -
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FORTRAN Unit Test Framework (FRUIT)
FORTRAN Unit Test Framework FRUIT - TDD in FORTRAN
FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes. The Ruby code is to make fixtures and reports easier. Rake is to build the project elegantly. This project also demonstrate a new way to build mixed language code in an alternative way than Make. Most of the FORTRAN are important in nature, used in nuclear and aerospace codes, etc, and maintained and written actively. Please help to bring TDD practices to the FORTRAN community. The change could be very hard, personally, I quit, since I could not make the change. I hope your organization will be successful. Enjoy a cup of fruit while maintaining FORTRAN ! Andrew Hang Chen and other maintainers who feel importance of TDD in cr
