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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.
IT Management Software
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making.
SaaS Management Software
SaaS management software helps organizations efficiently manage their Software as a Service (SaaS) subscriptions, usage, and costs. These platforms provide tools for tracking which SaaS applications are being used across the organization, managing licenses, monitoring usage patterns, and ensuring compliance with vendor contracts. SaaS management software also includes features for optimizing spending by identifying unused or underused applications, preventing duplication, and negotiating better terms with providers. By using this software, businesses can streamline procurement, reduce waste, and improve control over their SaaS portfolio, ensuring that the organization is getting the most value from its subscriptions.
Spend Management Software
Spend management software helps businesses track, control, and optimize their spending across various departments, suppliers, and categories. These platforms provide tools for budgeting, expense tracking, procurement, and invoice management, helping companies monitor their financial transactions and ensure compliance with internal policies. Spend management software often includes features like real-time analytics, approval workflows, supplier management, and reporting, enabling businesses to identify cost-saving opportunities, negotiate better contracts, and improve financial efficiency. By using this software, organizations can gain better control over their spending, reduce unnecessary costs, and enhance their financial decision-making processes.
Finance Software
Financial software is a broad category of financial software. Finance software provides all the necessary tools to record, store, manage, analyze and process financial information, accounting, trading, records, bills, transactions, and more.
IT Financial Management Software
IT financial management (ITFM) software, also known as technology business management software, is a type of software designed to help organizations manage their technology budgets. The software provides an interface for budget planning, tracking expenses, and technology cost management. It can also be used to generate reports on cost savings, identify cost overruns, and optimize asset utilization. Additionally, the software helps IT departments understand where their resources are being allocated and how they can get the most out of their investments. Finally, IT financial management software makes it easy to stay within budget by allowing users to plan ahead and monitor spending in real time.
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2 Products for "python framework" with 2 filters applied:

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    CostLens

    CostLens

    Amalytics Software

    ...With significant investment decisions at stake, CostLens enhances the accuracy of your IT costs by adding industry standard reference datasets to your company’s data. Enable single-sign-on capabilities to easily connect users with third party systems. The uniquely designed ‘SplitLink’ framework is aware of cost metadata and automatically builds end-to-end cost relationships at a low level of detail. This helps isolate and drill down on problem areas easily.
  • 2
    IBM Apptio
    ...By explaining investments and variance to plan more quickly to constituencies and executive management, organizations can uncover opportunities to optimize cost structures, reduce risk, and accelerate growth. Implement a structured view of IT expenses for actuals and plans based on industry-standard framework to allow for faster ad hoc analysis and budgeting cycles. Lower overall IT spend by reducing waste, eliminating duplications, and aligning investments to strategic priorities. Reduce the time spent forecasting, accelerate frequency, and redirect resources to higher-value activities.
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