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Test Automation Frameworks
Test automation frameworks are sets of tools, components, and practices that automate the process of testing software applications. These frameworks enable testers to write, execute, and manage test scripts for various types of software testing, including functional, regression, load, and performance testing. They often provide features such as reusable test scripts, integration with continuous integration/continuous deployment (CI/CD) tools, reporting, and test result tracking. Test automation frameworks help improve test efficiency, reduce manual errors, and speed up the overall testing process, especially in large and complex software environments.
Development Frameworks
Development frameworks are code libraries and development tools that streamline the development process for developers that build applications. Development frameworks simplify the process of programming in different languages. There are a variety of different types of development frameworks including web development frameworks, mobile app development frameworks, frontend and backend frameworks, and more.
Agentic Frameworks Software
Agentic frameworks are systems designed to build and manage autonomous or semi-autonomous artificial intelligence (AI) agents that can make decisions, interact with their environment, and perform tasks without constant human oversight. These frameworks provide the underlying structure for designing, training, and optimizing AI agents, enabling them to learn from experience, adapt to new situations, and make decisions based on predefined goals or objectives.
Mobile App Development Frameworks Software
Mobile app development frameworks are tools and libraries designed to streamline the creation of mobile applications by providing pre-written code, templates, and components. These frameworks can target different platforms, such as iOS, Android, or cross-platform environments, enabling developers to write once and deploy to multiple devices. Popular mobile development frameworks offer flexibility, efficiency, and robust user experiences.
Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Augmented Reality Software
Augmented reality software is used to create interactive computer-generated 3D models and simulations that can be projected and manipulated.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
Scrum Software
Scrum software provides IT project managers with the tools to manage projects, solve issues, and optimize the productivity of developer teams.
No-Code Development Platforms
No-code development platforms provide a way for users to design, build, and develop software applications without the need for traditional coding. They are built in such a way that users can rely on simple visual interfaces with drag and drop type tools, allowing them to rapidly develop applications with minimal technical knowledge. This makes no-code development platforms ideal for any user regardless of programming experience, from hobbyists to entrepreneurs. Furthermore, modern no-code platforms allow complex mobile apps or web projects to be created more quickly than ever before.
Serverless Platforms
Serverless platforms are cloud computing services that allow developers to build and deploy applications without managing the underlying infrastructure, such as servers or virtual machines. These platforms automatically handle the scaling, provisioning, and maintenance of resources, allowing developers to focus on writing code and implementing business logic. Serverless platforms typically provide a pay-as-you-go pricing model, where users only pay for the actual resources used during execution rather than for idle time. Features of serverless platforms include automatic scaling, event-driven architecture, and support for various programming languages and services. Popular serverless platforms are commonly used for web applications, microservices, APIs, and data processing.
Integrated Risk Management Software
Integrated risk management (IRM) software helps organizations identify, assess, and manage risks across various departments and operations in a centralized system. It combines tools for risk assessment, compliance management, incident reporting, and risk mitigation into one platform, enabling seamless data sharing and collaboration. IRM software allows businesses to prioritize risks based on their potential impact and likelihood, offering real-time insights into risk trends. With features like automated workflows, dashboards, and analytics, it helps organizations streamline decision-making and enhance their risk response strategies. Ultimately, IRM software provides a comprehensive view of risk across the enterprise, enabling businesses to proactively address threats and ensure regulatory compliance.
Load Testing Tools
Load testing tools are used to test and verify the quality and performance of an application under workload in order to get rid of problems.
Component Libraries
Component libraries are preconfigured sets of components, designs, styles, and code that enable developers and designers to build and design applications in a more efficient and streamlined way. A component library, also known as a UI component library, can be used across programming languages and frameworks to speed up and simplify design and development.
Application Development Software
Application development software is a type of software used to create applications and software programs. It typically includes code editors, compilers, and debuggers that allow developers to write, compile, and debug code. It also includes libraries of pre-written code that developers can use to create more complex and powerful applications.
Unit Testing Software
Unit testing software is a type of software tool and/or framework that enables developers and programmers to test small and individual source code units in order to ensure that each unit of the source code functions as it should.
View more categories (17) for "framework python"
  • 1
    Mockito

    Mockito

    Mockito

    Mockito is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. Mockito doesn’t give you hangover because the tests are very readable and they produce clean verification errors. Read more about features & motivations. Top 10 Java library across all libraries, not only the testing tools. In late 2013 there was an analysis made of 30.000 GitHub projects. Although Mockito reached number 9 in the main report, mockito-core and mockito...
    Starting Price: Free
  • 2
    PowerMock

    PowerMock

    PowerMock

    Writing unit tests can be hard and sometimes good design has to be sacrificed for the sole purpose of testability. Often testability corresponds to good design, but this is not always the case. For example final classes and methods cannot be used, private methods sometimes need to be protected or unnecessarily moved to a collaborator, static methods should be avoided completely and so on simply because of the limitations of existing frameworks. PowerMock is a framework that extends other mock...
    Starting Price: Free
  • 3
    HUnit

    HUnit

    Hackage

    HUnit is a unit testing framework for Haskell, inspired by the JUnit tool for Java. It's easy to use HUnit, assuming you are familiar with Haskell, though not necessarily with JUnit. A test-centered methodology for software development is most effective when tests are easy to create, change, and execute. The JUnit tool pioneered support for test-first development in Java. HUnit is an adaptation of JUnit to Haskell, a general-purpose, purely functional programming language. With HUnit...
    Starting Price: Free
  • 4
    XCTest

    XCTest

    Apple

    Create and run unit tests, performance tests, and UI tests for your Xcode project. Use the XCTest framework to write unit tests for your Xcode projects that integrate seamlessly with Xcode's testing workflow. Tests assert that certain conditions are satisfied during code execution, and record test failures (with optional messages) if those conditions aren’t satisfied. Tests can also measure the performance of blocks of code to check for performance regressions and can interact
    Starting Price: Free
  • 5
    Catch2

    Catch2

    Catch2

    Catch2 is mainly a unit testing framework for C++, but it also provides basic micro-benchmarking features and simple BDD macros. Catch2's main advantage is that using it is both simple and natural. Test names do not have to be valid identifiers, assertions look like normal C++ boolean expressions, and sections provide a nice and local way to share set-up and tear-down code in tests. You are on the devel branch, where the v3 version is being developed. v3 brings a bunch of significant changes...
    Starting Price: Free
  • 6
    MockK

    MockK

    MockK

    Mocking is a technique to make testing code readable and maintainable. In three consequent articles, I would like to show the basics, features, and quirks of the MockK library. It is a new open-source library (github repository) focused on making mocking in Kotlin great. Injection first tries to match properties by name, then by class or superclass. Check the lookupType parameter for customization. Properties are injected even if private is applied. Constructors for injection are selected...
    Starting Price: Free
  • 7
    Playwright

    Playwright

    Playwright

    Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests. Playwright assertions are created specifically for the dynamic web. Checks are automatically retried...
    Starting Price: Free
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