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hub: update categories (#23525)
<!--Delete sections as needed --> ## Description Updated Hub categories: - Added developer tools - Fixed capitalization to align with UI wording. https://deploy-preview-23525--docsdocker.netlify.app/docker-hub/repos/manage/information/#available-categories ## Related issues or tickets ENGDOCS-3042 ## Reviews <!-- Notes for reviewers here --> <!-- List applicable reviews (optionally @tag reviewers) --> - [ ] Editorial review - [ ] Product review Signed-off-by: Craig Osterhout <craig.osterhout@docker.com>
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The categories include:
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- **API Management**: Tools for creating, publishing, analyzing, and securing
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- **API management**: Tools for creating, publishing, analyzing, and securing
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APIs.
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- **Content Management System:** Software applications to create and manage
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- **Content management system:** Software applications to create and manage
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digital content through templates, procedures, and standard formats.
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- **Data Science:** Tools and software to support analyzing data and generating
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- **Data science:** Tools and software to support analyzing data and generating
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actionable insights.
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- **Databases & Storage:** Systems for storing, retrieving, and managing data.
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- **Languages & Frameworks:** Programming language runtimes and frameworks.
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- **Integrations & Delivery:** Tools for Continuous Integration (CI) and
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- **Developer tools:** Software and utilities that assist developers in
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creating, debugging, maintaining, and supporting applications and systems.
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- **Databases & storage:** Systems for storing, retrieving, and managing data.
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- **Languages & frameworks:** Programming language runtimes and frameworks.
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- **Integration & delivery:** Tools for Continuous Integration (CI) and
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Continuous Delivery (CD).
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- **Internet of Things:** Tools supporting Internet of Things (IoT)
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- **Internet of things:** Tools supporting Internet of Things (IoT)
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applications.
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- **Machine Learning & AI:** Tools and frameworks optimized for artificial
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- **Machine learning & AI:** Tools and frameworks optimized for artificial
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intelligence and machine learning projects, such as pre-installed libraries
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and frameworks for data analysis, model training, and deployment.
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- **Message Queues:** Message queuing systems optimized for reliable, scalable,
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- **Message queues:** Message queuing systems optimized for reliable, scalable,
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and efficient message handling.
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- **Monitoring & Observability:** Tools to track software and system performance
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through metrics, logs, and traces, as well as observability to explore the
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system’s state and diagnose issues.
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- **Networking:** Repositories that support data exchange and connecting
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computers and other devices to share resources.
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- **Operating Systems:** Software that manages all other programs on a computer
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- **Operating systems:** Software that manages all other programs on a computer
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and serves as an intermediary between users and the computer hardware, while
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overseeing applications and system resources.
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- **Security:** Tools to protect a computer system or network from theft,
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unauthorized access, or damage to their hardware, software, or electronic
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data, as well as from service disruption.
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- **Web Servers:** Software to serve web pages, HTML files, and other assets to
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- **Web servers:** Software to serve web pages, HTML files, and other assets to
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users or other systems.
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- **Web Analytics:** Tools to collect, measure, analyze, and report on web data
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- **Web analytics:** Tools to collect, measure, analyze, and report on web data
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and website visitor engagement.
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