3rd-Party Software Development Framework

A 3rd-Party Software Development Framework is a software system that provides code organization patterns and reusable components (for structuring software applications).

• Context:
  • It can (typically) enforce Architectural Patterns through inversion of control, dependency injection, and template method patterns.
  • It can (typically) define Code Organization Rules through extensible interfaces and abstract classes.
  • It can (typically) provide Reusable Components that follow consistent design patterns and coding standards.
  • ...
  • It can range from being a Basic Software Framework to being a Full-Stack Software Framework, depending on its component coverage.
  • It can range from being a Domain-Specific Software Framework to being a General-Purpose Software Framework, based on its application scope.
  • It can range from being a Single-Language Software Framework to being a Cross-Language Software Framework, depending on its language support.
  • It can range from being a Lightweight Software Framework to being a Enterprise Software Framework, based on its architectural complexity.
  • ...
  • It can integrate Software Development Tools with software testing tools, software debugging tools, and software deployment tools.
  • It can support Software Programming Languages through software language features or cross-language capabilitys.
  • It can provide Software Framework APIs for integrating with software services and software components.
  • It can implement Software Development Workflows across various software development lifecycle stages.
  • It can function within Software Development Platforms as a software framework component.
  • ...
• Examples:
  • AI and Machine Learning Development Frameworks, such as:
    • Deep Learning Development Frameworks, such as:
      • Core ML Development Frameworks for machine learning systems:
        • TensorFlow Development Framework for production ml systems.
        • PyTorch Development Framework for research ml systems.
        • JAX Development Framework for high-performance ml systems.
      • High Level ML Development Frameworks for rapid ml systems:
        • Keras Development Framework for prototype ml systems.
        • FastAI Development Framework for practical ml systems.
        • Lightning Development Framework for scaled ml systems.
    • Natural Language Development Frameworks, such as:
      • Transformer Development Frameworks for nlp systems:
        • Hugging Face Development Framework for pretrained nlp systems.
        • NLTK Development Framework for text processing systems.
        • SpaCy Development Framework for industrial nlp systems.
      • Language Model Development Frameworks for text generation systems:
        • LangChain Development Framework for llm-based systems.
        • LlamaIndex Development Framework for knowledge-based systems.
    • Computer Vision Development Frameworks, such as:
      • Vision Processing Development Frameworks for image-based systems:
        • OpenCV Development Framework for image processing systems.
        • Detectron2 Development Framework for object detection systems.
        • MMDetection Development Framework for detection systems.
      • Vision Model Development Frameworks for vision-based systems:
        • Kornia Development Framework for differentiable vision systems.
        • AlbumentationsCV Development Framework for augmented vision systems.
    • AI Agent Development Frameworks, such as:
      • Multi Agent Development Frameworks for agent-based systems:
        • AutoGen Development Framework for orchestrated agent systems.
        • LangGraph Development Framework for workflow agent systems.
        • CrewAI Development Framework for collaborative agent systems.
      • Reinforcement Learning Development Frameworks for rl systems:
        • RLlib Development Framework for distributed rl systems.
        • Stable Baselines Development Framework for policy learning systems.
    • Model Serving Development Frameworks, such as:
      • Inference Development Frameworks for model deployment systems:
        • TensorFlow Serving Development Framework for model serving systems.
        • Triton Development Framework for inference systems.
        • BentoML Development Framework for model deployment systems.
      • Model Management Development Frameworks for model lifecycle systems:
        • MLflow Development Framework for experiment tracking systems.
        • Weights & Biases Development Framework for model monitoring systems.
    • Edge AI Development Frameworks, such as:
      • Mobile Development Frameworks for mobile AI systems:
        • TensorFlow Lite Development Framework for mobile inference systems.
        • CoreML Development Framework for ios AI systems.
      • Embedded Development Frameworks for hardware AI systems:
        • TensorRT Development Framework for gpu-accelerated systems.
        • OpenVINO Development Framework for intel-optimized systems.
    • AutoML Development Frameworks, such as:
      • Architecture Search Development Frameworks for automated design systems:
        • AutoKeras Development Framework for automated architecture systems.
        • FLAML Development Framework for automated optimization systems.
      • Pipeline Optimization Development Frameworks for automated workflow systems:
        • Auto-Sklearn Development Framework for pipeline search systems.
        • PyCaret Development Framework for automated ml systems.
    • Enterprise AI Development Frameworks, such as:
      • Multi-Modal Enterprise Development Frameworks for enterprise AI systems:
        • NVIDIA NeMo Development Framework for generative AI systems.
        • NVIDIA TAO Development Framework for transfer learning systems.
        • NVIDIA Modulus Development Framework for physics-informed systems.
  • Application Development Frameworks, such as:
    • Web Development Frameworks, such as:
      • Frontend Development Frameworks for web ui systems:
        • React Development Framework for component-based systems.
        • Angular Development Framework for enterprise web systems.
        • Vue.js Development Framework for progressive web systems.
      • Backend Development Frameworks for web service systems:
        • Django Development Framework for python web systems.
        • Spring Development Framework for java web systems.
        • Ruby on Rails Development Framework for ruby web systems.
      • Full-Stack Development Frameworks for complete web systems:
        • Meteor Development Framework for javascript web systems.
        • ASP.NET Development Framework for microsoft web systems.
    • Mobile Development Frameworks, such as:
      • Native Development Frameworks for platform-specific systems:
        • SwiftUI Development Framework for ios systems.
        • Android Development Framework for android systems.
      • Cross-Platform Development Frameworks for multi-platform systems:
        • React Native Development Framework for javascript mobile systems.
        • Flutter Development Framework for dart mobile systems.
  • Infrastructure Development Frameworks, such as:
    • Data Processing Development Frameworks for data systems:
      • Apache Hadoop Development Framework for distributed data systems.
      • Apache Spark Development Framework for big data systems.
      • Apache Flink Development Framework for stream processing systems.
    • Cloud Infrastructure Development Frameworks for cloud systems:
      • AWS CDK Development Framework for aws cloud systems.
      • Terraform Development Framework for infrastructure systems.
      • Kubernetes Development Framework for container systems.
    • Messaging Development Frameworks for communication systems:
      • Apache Kafka Development Framework for streaming systems.
      • RabbitMQ Development Framework for message queue systems.
  • Testing Development Frameworks, such as:
    • Unit Testing Development Frameworks for code testing systems:
      • JUnit Development Framework for java testing systems.
      • pytest Development Framework for python testing systems.
    • Integration Testing Development Frameworks for end-to-end systems:
      • Selenium Development Framework for browser automation systems.
      • Cypress Development Framework for modern testing systems.
    • Performance Testing Development Frameworks for load testing systems:
      • JMeter Development Framework for performance measurement systems.
      • Gatling Development Framework for stress testing systems.
  • Domain Development Frameworks, such as:
    • Game Development Frameworks for gaming systems:
      • Unity Development Framework for cross-platform game systems.
      • Unreal Development Framework for high-performance game systems.
    • IoT Development Frameworks for connected device systems:
      • Arduino Development Framework for embedded systems.
      • Eclipse IoT Development Framework for enterprise iot systems.
  • ...
• Counter-Example(s):
  • Software Library, which provides functions but lacks the comprehensive structure and patterns of a framework.
  • Programming Language, which offers syntax and semantics but doesn't impose development structure.
  • Software Toolkit, which provides utility tools without a complete development environment.
  • Software Development Platform, which is broader and may contain multiple frameworks.
• See: Software Application Development System, Framework, Integrated Development Environment (IDE), Application Development, Programming Paradigm, Software Design Pattern, Middleware, Web Services, Software Development Kit (SDK), Software Code Development Process, Model-View-Controller Software Framework, Web Application Framework (WAF).

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References

2024

1. 3rd-Party Software Development Platforms
   1. 3rd-Party Integrated Development Environment (IDE)s
      1. 3rd-Party Desktop IDEs (e.g., Visual Studio, IntelliJ IDEA)
      2. 3rd-Party Cloud-based IDEs (e.g., AWS Cloud9, GitHub Codespaces)
   2. 3rd-Party Low-Code Development Platforms
      1. 3rd-Party Enterprise Low-Code Development Platforms (e.g., OutSystems, Mendix)
      2. 3rd-Party Citizen Developer Low-Code Development Platforms (e.g., Microsoft Power Apps)
   3. 3rd-Party No-Code Development Platforms
      1. 3rd-Party Web Application Builders (e.g., Webflow, Wix)
      2. 3rd-Party Mobile App Builders (e.g., Adalo, Thunkable)
   4. 3rd-Party Game Development Platforms
      1. 3rd-Party Multi-purpose Game Engines (e.g., Unity, Unreal Engine)
      2. 3rd-Party Specialized Game Platforms (e.g., Roblox Studio)
   5. 3rd-Party Enterprise Application Development Platforms
      1. 3rd-Party CRM Platforms (e.g., Salesforce Lightning)
      2. 3rd-Party ERP Platforms (e.g., SAP Business Technology Platform)

1. 3rd-Party Software Development Frameworks
   1. 3rd-Party Web Application Frameworks
      1. 3rd-Party Frontend Frameworks (e.g., React, Angular)
      2. 3rd-Party Backend Frameworks (e.g., Django, Ruby on Rails)
      3. 3rd-Party Full-stack Frameworks (e.g., Meteor)
   2. 3rd-Party Mobile Development Frameworks
      1. 3rd-Party Cross-platform Frameworks (e.g., React Native, Flutter)
      2. 3rd-Party Native Frameworks (e.g., SwiftUI for iOS, Jetpack Compose for Android)
   3. 3rd-Party Data Processing Frameworks
      1. 3rd-Party Big Data Frameworks (e.g., Apache Hadoop, Apache Spark)
      2. 3rd-Party Stream Processing Frameworks (e.g., Apache Kafka, Apache Flink)
   4. 3rd-Party Machine Learning Frameworks
      1. 3rd-Party General-purpose ML Frameworks (e.g., TensorFlow, PyTorch)
      2. 3rd-Party Specialized ML Frameworks (e.g., Scikit-learn, Keras)
   5. 3rd-Party Testing and Automation Frameworks
      1. 3rd-Party Unit Testing Frameworks (e.g., JUnit, pytest)
      2. 3rd-Party UI Testing Frameworks (e.g., Selenium, Cypress)
   6. 3rd-Party IoT Development Frameworks
      1. 3rd-Party Edge Computing Frameworks (e.g., Azure IoT Edge)
      2. 3rd-Party IoT Protocol Frameworks (e.g., MQTT, CoAP)

1. 3rd-Party Development Tools and Services
   1. 3rd-Party Version Control Systems
      1. 3rd-Party Centralized Version Control Systems (e.g., Subversion)
      2. 3rd-Party Distributed Version Control Systems (e.g., Git, Mercurial)
   2. 3rd-Party CI/CD Tools
      1. 3rd-Party Continuous Integration Tools (e.g., Jenkins, CircleCI)
      2. 3rd-Party Continuous Deployment Tools (e.g., Spinnaker, ArgoCD)
   3. 3rd-Party Project Management Tools
      1. 3rd-Party Agile Project Management Tools (e.g., Jira, Trello)
      2. 3rd-Party Developer-focused Project Management Tools (e.g., GitHub Projects, GitLab Boards)
   4. 3rd-Party Code Quality and Analysis Tools
      1. 3rd-Party Static Analysis Tools (e.g., SonarQube, ESLint)
      2. 3rd-Party Dynamic Analysis Tools (e.g., Valgrind)
   5. 3rd-Party Collaboration and Communication Tools
      1. 3rd-Party Team Collaboration Platforms (e.g., Slack, Microsoft Teams)
      2. 3rd-Party Code Review Tools (e.g., Gerrit, Reviewable)

1. 3rd-Party Cloud and Infrastructure Platforms
   1. 3rd-Party Infrastructure as a Service (IaaS) Platforms
      1. 3rd-Party Public Cloud Providers (e.g., AWS EC2, Google Compute Engine)
      2. 3rd-Party Private Cloud Platforms (e.g., OpenStack)
   2. 3rd-Party Platform as a Service (PaaS) Platforms
      1. 3rd-Party Application Platform as a Service Platforms (e.g., Heroku, Google App Engine)
      2. 3rd-Party Container Platform as a Service Platforms (e.g., Red Hat OpenShift)
   3. 3rd-Party Serverless Platforms
      1. 3rd-Party Function as a Service (FaaS) Platforms (e.g., AWS Lambda, Azure Functions)
      2. 3rd-Party Backend as a Service (BaaS) Platforms (e.g., Firebase, Supabase)

1. 3rd-Party DevOps and SRE Tools
   1. 3rd-Party Configuration Management Tools
      1. 3rd-Party Infrastructure as Code Tools (e.g., Terraform, Ansible)
      2. 3rd-Party Configuration Orchestration Tools (e.g., Puppet, Chef)
   2. 3rd-Party Monitoring and Observability Tools
      1. 3rd-Party Application Performance Monitoring Tools (e.g., New Relic, Datadog)
      2. 3rd-Party Log Management Tools (e.g., ELK Stack, Splunk)
   3. 3rd-Party Container Orchestration Platforms
      1. 3rd-Party Kubernetes Platforms and Distributions
      2. 3rd-Party Container Orchestration Alternatives (e.g., Docker Swarm)

1. 3rd-Party Specialized Development Environments
   1. 3rd-Party Data Science and Analytics Platforms
      1. 3rd-Party Notebook Environments (e.g., Jupyter, Google Colab)
      2. 3rd-Party Data Analytics Platforms (e.g., Apache Zeppelin, RStudio)
   2. 3rd-Party Blockchain Development Platforms
      1. 3rd-Party Smart Contract Platforms (e.g., Ethereum, Solana)
      2. 3rd-Party Enterprise Blockchain Platforms (e.g., Hyperledger Fabric)
   3. 3rd-Party AR/VR Development Platforms
      1. 3rd-Party AR Development Kits (e.g., ARKit, ARCore)
      2. 3rd-Party VR Development Platforms (e.g., SteamVR, Oculus SDK)

2022

• https://softwaretestinghelp.com/software-development-tools/
  • QUOTE: Best Software Development Tools and Platforms a Developer Should Know: ...
    • A computer program that is used by the software developers for creating, editing, maintaining, supporting and debugging other applications, frameworks and programs – is termed as a Software Development Tool or a Software Programming Tool.
    • Development tools can be of many forms like linkers, compilers, code editors, GUI designer, assemblers, debugger, performance analysis tools etc. There are certain factors to be considered while selecting the corresponding development tool, based on the type of the project.
    • … Given below are few uses of the Software Dev Tools:
      • Software tools are used to accomplish and investigate the business processes, document the development process of the software and optimize all the processes.
      • By using these tools in the software development process, the outcome of the projects will be more productive.
      • Using the development tools, a developer can easily maintain the workflow of the project.

2022

• (Wikipedia, 2022) ⇒ https://en.wikipedia.org/wiki/software_framework Retrieved:2022-11-1.
  • In computer programming, a software framework is an abstraction in which software, providing generic functionality, can be selectively changed by additional user-written code, thus providing application-specific software. It provides a standard way to build and deploy applications and is a universal, reusable software environment that provides particular functionality as part of a larger software platform to facilitate the development of software applications, products and solutions. Software frameworks may include support programs, compilers, code libraries, toolsets, and application programming interfaces (APIs) that bring together all the different components to enable development of a project or system.

    Frameworks have key distinguishing features that separate them from normal libraries:

    • inversion of control: In a framework, unlike in libraries or in standard user applications, the overall program's flow of control is not dictated by the caller, but by the framework. This is usually achieved with the Template Method Pattern.
    • default behaviour: This can be provided with the invariant methods of the Template Method Pattern in an abstract class which is provided by the framework.
    • extensibility: A user can extend the framework – usually by selective overriding – or programmers can add specialized user code to provide specific functionality. This is usually achieved by a hook method in a subclass that overrides a template method in the superclass.
    • non-modifiable framework code: The framework code, in general, is not supposed to be modified, while accepting user-implemented extensions. In other words, users can extend the framework, but cannot modify its code.

2013

• http://dropwizard.codahale.com/getting-started/
  • QUOTE: Dropwizard straddles the line between being a library and a framework. ...

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