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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.
View more categories (15) for "framework python"

128 Products for "framework python"

  • 1
    Keepsake

    Keepsake

    Replicate

    Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves...
    Starting Price: Free
  • 2
    OpenAI Agents SDK
    ​The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python...
    Starting Price: Free
  • 3
    R Markdown

    R Markdown

    RStudio PBC

    R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more. R Markdown provides an authoring framework for data science. You...
  • 4
    Azure Databricks
    Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open...
  • 5
    Cloudera Data Science Workbench
    Accelerate machine learning from research to production with a consistent experience built for your traditional platform. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also...
  • 6
    Ajenti

    Ajenti

    Ajenti

    An admin's tool for a more civilized age, providing you with a fast and secure way to manage a remote Linux box at any time using everyday tools like a web terminal, text editor, file manager and others. Ajenti Core is a streamlined and reusable framework for building web interfaces of all kinds. Includes lots of plugins for system and software configuration, monitoring and management. Ajenti won't damage your existing configuration or tell you how to do your job. Preserves config structure...
  • 7
    Metaflow

    Metaflow

    Metaflow

    Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering. Use Metaflow with your favorite data science libraries, such as Tensorflow or SciKit Learn, and write your models in idiomatic Python code with not much new to learn. Metaflow also supports the R language. Metaflow helps you design your workflow, run it at scale, and deploy it to production. It versions...
  • 8
    Checkov

    Checkov

    Prisma Cloud

    Verify changes to hundreds of supported resource types in all major cloud providers. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. Extend Checkov to define your own custom policies, providers, and suppressions terms...
    Starting Price: Free
  • 9
    MakerSuite
    MakerSuite is a tool that simplifies this workflow. With MakerSuite, you’ll be able to iterate on prompts, augment your dataset with synthetic data, and easily tune custom models. When you’re ready to move to code, MakerSuite will let you export your prompt as code in your favorite languages and frameworks, like Python and Node.js.
  • 10
    Google Cirq
    Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full...
  • 11
    Quandela

    Quandela

    Quandela

    Quandela Cloud offers a wide range of functionalities. First, intensive documentation is available to walk you through Perceval, our photonic quantum computing framework. Perceval's programming language is Python, thus coding on Quandela’s QPUs is seamless. Moreover, you can leverage a wide range of unique algorithms already implemented (resolving PDEs, clustering data, generating certified random numbers, solving logistical problems, computing properties of molecules, and much more). Then...
  • 12
    Boofuzz

    Boofuzz

    Boofuzz

    Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, Boofuzz aims for extensibility. Like Sulley, Boofuzzincorporates all the critical elements of a fuzzer like easy and quick data generation, instrumentation and failure detection, target reset after failure, and recording of test data. Much easier install experience and support for arbitrary communications mediums. Built-in support for serial fuzzing, ethernet- and IP-layer, UDP...
    Starting Price: Free
  • 13
    MLlib

    MLlib

    Apache Software Foundation

    ​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional Map...
  • 14
    TF-Agents

    TF-Agents

    Tensorflow

    ... for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole.
  • 15
    Gamification-Engine
    The Gamification-Engine (gengine) is an open source software (MIT) for integrating any kinds of gamification features into your product. The engine is not meant to be a platform including any kinds of predefined graphics, layouts or statistics. It is framework for developing your own solution, implemented as a service to which your application server can talk over a REST api. Multi level achievements, multi goal achievements, progress and single goals, leader boards and ladder, achievements can...
  • 16
    Azure DevOps Projects
    ..., Python, Go and others—and many of their popular frameworks. Or deploy your own application hosted on a source control. Run your application on Windows or Linux. Simply deploy to Azure Web App, Virtual Machine, Service Fabric or choose Azure Kubernetes Service for your application. While options are wide-ranging, execution is simple and fast. Get rich performance monitoring, powerful alerting, and easy-to-consume dashboards to help ensure your applications are available and performing.
  • 17
    ServiceStage

    ServiceStage

    Huawei Cloud

    Deploys your applications using containers, VMs, or serverless, and easily implements auto scaling, performance analysis, and fault diagnosis. Supports native Spring Cloud and Dubbo frameworks and Service Mesh, provides all-scenario capabilities, and supports mainstream languages such as Java, Go, PHP, Node.js, and Python. Supports cloud-native transformation of Huawei core services, meeting strict performance, usability, and security compliance requirements. Development frameworks, running...
    Starting Price: $0.03 per hour-instance
  • 18
    pytest

    pytest

    pytest

    pytest helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. Due to pytest’s detailed assertion introspection, only plain assert statements are used. Detailed info on failing assert statements. Auto-discovery of test modules and functions. Modular fixtures for managing small or parametrized long-lived test resources. Can run unittest (including trial) and nose test suites out...
  • 19
    HyperConnect

    HyperConnect

    HyperConnect

    HyperConnect is an enterprise-grade, open source Internet-of-Things framework that utilizes the Elastos Peer-to-Peer Carrier Network to route network traffic between IoT devices. The modular architecture provides a solid base for any industry vertical in the Internet-of-Things. Communication, data transfer and storage are vital elements of the Internet of Things. Obtain relevant metrics, recognize patterns and understand data by placing it in a visual context. Create, manage and validate python...
  • 20
    Chainer

    Chainer

    Chainer

    A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes...
  • 21
    Flotiq

    Flotiq

    Flotiq

    ... optimized content across websites, apps, and devices. - CDN Integration: Scalable and fast media delivery. - SDKs & Integrations: Ready-to-use tools for JavaScript, Python, and frameworks like Next.js and Gatsby. - Version Control: Easily track content updates. - Webhooks: Automate workflows and improve efficiency. Flotiq helps developers and content creators collaborate smoothly, offering a scalable, high-performance solution for modern projects. Start building today!
    Starting Price: $0
  • 22
    Serverless

    Serverless

    Serverless

    ... account or region. Easily share secrets, outputs from your serverless applications and delegate AWS account access. You can deploy many familiar use-cases instantly with the Serverless Framework. From REST APIs on Node.js, Python, Go, Java, to GraphQL APIs, scheduled tasks, Express.js applications, and front-end applications.
    Starting Price: $20 per month
  • 23
    Databutton

    Databutton

    Databutton

    Ship your idea in days, not weeks, with Databutton, the world's first fully AI app developer. Describe what you want, and use natural language, screenshots, or diagrams to get React UIs built by AI. Power your product with any service. Connect your app to any API or model to realize its full potential. Prompt Databutton to build Python APIs that scrape websites fetch data across systems, and more. Ship value to your customers continuously, we handle the security and infrastructure for you...
    Starting Price: $20 per month
  • 24
    ZZZ Code AI

    ZZZ Code AI

    ZZZ Code AI

    ZZZ Code AI is an AI-powered coding assistant designed to support developers across various programming tasks. It offers a suite of tools, including AI Code Generator, AI Bug Detector, AI Code Explainer, AI Code Refactor, AI Code Review, AI Code Converter, and AI Code Documentation. It supports multiple programming languages such as Python, C#, C++, Java, JavaScript, HTML, CSS, SQL, and Excel formulas. Users can input their coding requirements or questions, and the AI provides instant responses...
    Starting Price: Free
  • 25
    Agent Squad
    Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad...
    Starting Price: Free
  • 26
    GIMP

    GIMP

    GIMP

    ... party plugins. GIMP provides the tools needed for high quality image manipulation. From retouching to restoring to creative composites, the only limit is your imagination. GIMP is used for producing icons, graphical design elements, and art for user interface components and mockups. GIMP is a high quality framework for scripted image manipulation, with multi-language support such as C, C++, Perl, Python, Scheme, and more!
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    Starting Price: Free
  • 27
    Azure Machine Learning
    .... Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
  • 28
    CanvasJS Charts

    CanvasJS Charts

    Fenopix Technologies

    JavaScript Charting Library with 10x better performance & a simple API. You can easily integrate our JS Charts with popular Frameworks like React, Angular, Vue, etc. The library comes with 30+ chart types including line, column, bar, area, pie, doughnut, stacked, etc. Graphs support various interactive features like tooltips, zooming, panning, animation, events, drill-down, exporting and can easily be integrated with various server-side technologies like PHP, Ruby, Python, ASP.Net, Node...
  • 29
    Spirent iTest

    Spirent iTest

    Spirent Communications

    Using iTest, product validation teams can create automated, reusable tests quickly and efficiently. Automation frees these teams to focus on creating comprehensive test suites, rather than performing manual tests. Comprehensive test suites make it possible to find bugs earlier in the development cycle when it’s faster and easier to implement fixes. This speeds new technology releases and improves quality. Whether you are using Python, or open source or in-house automation frameworks, i...
  • 30
    Pulumi

    Pulumi

    Pulumi

    ... environments. Audit and secure. Know who changed what, when, and why. Enforce deployment policies with your identity provider of choice. Secrets management. Keep secrets safe with easy, built-in encrypted configuration. Familiar programming languages. Define infrastructure in JavaScript, TypeScript, Python, Go, or any .NET language, including C#, F#, and VB. Your favorite tools. Use familiar IDEs, test frameworks, and tools. Share and reuse. Codify best practices and policies.