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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.
Scrum Software
Scrum software provides IT project managers with the tools to manage projects, solve issues, and optimize the productivity of developer teams.
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.
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.
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.
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.
Debugging Tools
Debugging tools, also known as debuggers, are software tools that enable web developers and software developers to debug their code and applications in order to improve the quality and security of the code and application.
View more categories (17) for "framework python"

15 Products for "framework python" with 1 filter applied:

  • 1
    Scout Monitoring

    Scout Monitoring

    Scout Monitoring

    ...Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.
  • 2
    {CodeWhizz}

    {CodeWhizz}

    {CodeWhizz}

    The AI-Powered Python and JavaScript Generator/Debugger/Tutor. Become a pro-coder in seconds. Generate pro-level code in an instant. Type what you need, run the program, and boom! The Whizzy AI model will compute your request and generate your code in an editable code window, so you can touch it up and personalize it however you need. Don't hassle with clunky and slow IDE's, the integrated CodeEngine will run your Python code and generate outputs, and plots, seamlessly. ...
    Starting Price: $37.50 per month
  • 3
    GNU DDD
    GNU DDD is a graphical front-end for command-line debuggers such as GDB, DBX, WDB, Ladebug, JDB, XDB, the Perl debugger, the bash debugger bashdb, the GNU Make debugger remake or the Python debugger pydb. Besides usual front-end features such as viewing source texts. DDD has become famous through its interactive graphical data display, where data structures are displayed as graphs. You can support the principle of software freedom by buying stuff from the FSF shop. To run DDD, you need the GNU debugger (GDB), version 4.16 or later (or depending on the program to be debugged, possibly other command-line debuggers such as Ladebug, JDB, XDB, the Perl debugger, the bash debugger bashdb, the GNU Make debugger remake, or the Python debugger pydb).
  • 4
    DebuggAI

    DebuggAI

    DebuggAI

    ...It offers features such as text-based test requests, secure local tunneling for testing on localhost servers, and visual test reports with GIF recordings to enhance the debugging experience. The platform supports various technologies, including Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, making it versatile for different development environments. DebuggAI aims to reduce the complexity of end-to-end testing by allowing developers to generate and run tests using simple English commands, thereby improving efficiency and confidence in the development workflow.
    Starting Price: $20 per month
  • 5
    Immunity Debugger

    Immunity Debugger

    Immunity Debugger

    ...Immunity has implemented aliases to ensure that your WinDBG users do not have to be retrained and will get the full productivity boost that comes from the best debugger interface on the market. Python commands can also be run directly from our command bar. Users can go back to previously entered commands, or just click in the dropdown menu and see all the recently used commands. Immunity Debugger's interfaces include the GUI and a command line. The command line is always available at the bottom of the GUI. It allows the user to type shortcuts as if they were in a typical text-based debugger, such as WinDBG or GDB.
  • 6
    Arm DDT
    ...Arm DDT is trusted as a powerful tool for the automatic detection of memory bugs and divergent behavior to achieve lightning-fast performance at all scales. Cross-platform for multiple servers and HPC architectures. Native parallel debugging of Python applications. Has market-leading memory debugging. Outstanding C++ debugging support. Complete Fortran debugging support. Has an offline mode for debugging non-interactively. Handles and visualizes huge data sets. Arm DDT is a powerful parallel debugger, available standalone or as part of the Arm Forge debug and profile suite. Its intuitive graphical interface provides automatic detection of memory bugs and divergent behavior at all scales.
  • 7
    Arm Forge
    ...Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. Efficient application development for Linux Server and HPC with Full technical support from Arm experts. Arm DDT is the debugger of choice for developing of C++, C, or Fortran parallel, and threaded applications on CPUs, and GPUs. ...
  • 8
    SwapCode AI

    SwapCode AI

    SwapCode AI

    ...It works with lots of different types of code, like the ones used to make websites, games, and apps. For example, if you have a puzzle piece that fits in a Java puzzle but needs to fit in a Python puzzle, SwapCode AI knows how to reshape it perfectly! It even makes sure the new piece is easy to read and use. SwapCode AI is super smart and fits right into your tools, so you can use it while you’re working without any extra steps. It helps teams work together, even if they’re using different tools or languages.
    Starting Price: $20/month
  • 9
    SmartBear AQTime Pro
    ...With over a dozen profilers, you can find memory leaks, performance bottlenecks, code coverage gaps and more in just a few clicks. AQTime Pro enables you to squash all bugs with one tool and get back to making high quality code. Don’t let code profilers box you in with a single codebase or framework and prevent you from finding performance bottlenecks, memory leaks, code coverage gaps unique to your project. AQTime Pro is the one tool to use across multiple codebases and frameworks in a project. It has broad language support for C/C++, Delphi, .NET, Java and more.
    Starting Price: $719 one-time payment
  • 10
    PlatformIO

    PlatformIO

    PlatformIO

    ...A user-friendly and extensible integrated development environment with a set of professional development instruments, providing modern and powerful features to speed up yet simplify the creation and delivery of embedded products. PlatformIO is written in pure Python and doesn't depend on any additional libraries/tools from an operation system.
  • 11
    Squish

    Squish

    Qt Group

    Squish GUI Tester automates testing of graphical user interfaces across platforms and technologies such as Qt, Java, Web, .NET/WPF, iOS, Android, and embedded systems. Test scripts can be written in Python, JavaScript, Perl, Tcl, or Ruby, and its object-based recognition ensures tests remain reliable even as UIs change. With features like record/replay, keyword-driven and data-driven testing, test suite management, and CI/CD integration, Squish helps teams reduce manual testing, accelerate testing cycles, and ensure consistent performance, usability, and reliability. ...
  • 12
    Defang

    Defang

    Defang

    ...By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. ...
    Starting Price: $10 per month
  • 13
    Solidity Debugger Pro

    Solidity Debugger Pro

    Solidity Debugger Pro

    ...It supports all EVM-compatible blockchains, allowing developers to easily debug smart contracts locally or on a forked node. Sdbg brings native debugging support for the popular Hardhat framework.
    Starting Price: Free
  • 14
    Genymotion

    Genymotion

    Genymobile

    Empower your Android teams with virtual devices that truly scale. With all testing frameworks based on ADB, Appium, Espresso, Robotium, etc. Works with popular continuous integration solutions CircleCI, Bitrise, Terraform, etc. No nested virtualization to speed up your tests and operations with or without a dedicated GPU. Instant access to unlimited virtual devices that can be run simultaneously for test sharding or parallel testing.
    Starting Price: $0.05 per minute
  • 15
    Fiddler

    Fiddler

    Progress Software

    ...Debug traffic from macOS, Windows, or Linux systems and iOS or Android mobile devices. Ensure the proper cookies, headers, and cache directives are transferred between the client and server. Supports any framework, including .NET, Java, Ruby, etc. Mock or modify requests and responses on any website. It’s a quick and easy way to change the request and responses to test websites without changing code. Use Fiddler Everywhere to log all HTTP/S traffic between your computer and the Internet.
    Starting Price: $12 per user per month
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