<h2>Overview</h2>
The Soccer Dashboard built with Akka and ReactJS brings an interactive and dynamic view of the English Premier League directly to your device. Utilizing a robust backend powered by Akka Actors and a sleek frontend with ReactJS, this application elegantly combines real-time data processing with user-friendly interface design. The project not only facilitates data crawling from the official Premier League website but also stores the information in a highly scalable IBM Cloudant database, making it a solid choice for soccer enthusiasts looking to track league standings and game results seamlessly.
Deploying the application onto Cloud Foundry exemplifies modern cloud computing practices, allowing for easy updates and high availability. The entire setup provides a hands-on experience for developers looking to explore the capabilities of reactive programming with Akka while manipulating user interfaces with ReactJS.
<h2>Features</h2>
<ul>
<li>
Reactive Backend with Akka: Utilizes Akka Actor model for efficient data handling and real-time processing of soccer-related information.
</li>
<li>
Interactive Frontend with ReactJS: Employs ReactJS to create a responsive UI that provides users with an engaging experience while navigating through league data.
</li>
<li>
Cloudant Database Storage: Leverages IBM Cloudant's scalable and high-performance JSON database for storing extensive match information and user interactions.
</li>
<li>
Seamless Deployment on Cloud Foundry: Simplifies deployment processes with robust tooling that allows you to move from local development to cloud deployment with minimal hassle.
</li>
<li>
Web Crawling Mechanism: Implements a crawler that effectively retrieves data from the Premier League website, ensuring that users have access to the latest information.
</li>
<li>
User-Friendly Dashboard: Provides a consolidated view of team standings, results, and fixtures in a clean and intuitive layout for easy comprehension.
</li>
<li>
Extensive Debugging Support: Offers logging features for monitoring app performance and troubleshooting, ensuring a smooth release process.
</li>
<li>
Open Source Project: Encourages community involvement and contribution, fostering continuous improvement and updates to enrich the application experience.
</li>
</ul>

<h2>Overview:</h2>
Carbon UI Builder is a visual builder tool created by IBM that allows users to easily compose UI fragments using Carbon UI components. With this tool, users can quickly build product pages and export them as images for presentations, create live demo apps for user testing, or generate production-quality code to incorporate into existing product frontends. The best part is that no coding is required, making it accessible to users of all levels of expertise. Additionally, Carbon UI Builder operates offline, ensuring that all user data is safely stored on the computer and eliminating the need for an internet connection.
<h2>Features:</h2>
<ul>
<li>Visual Builder: Easily compose UI fragments using Carbon UI components.</li>
<li>Fast Export: Quickly export product pages as images for presentations.</li>
<li>Live Demo App: Create live demo apps for user testing.</li>
<li>Production Quality Code: Generate production-quality code to incorporate into existing product frontends.</li>
<li>No Coding Required: User-friendly interface that does not require any coding skills.</li>
<li>Offline Capability: Works even without an internet connection, ensuring user data is stored on the computer.</li>
</ul>
<h2>Summary:</h2>
Carbon UI Builder is a powerful tool developed by IBM that simplifies the process of creating UI fragments using Carbon UI components. Its visual builder interface allows users to quickly compose product pages without writing any code, and it offers features such as fast exports, live demo app creation, and production-quality code generation. The offline capability ensures that user data is securely stored on the computer and eliminates the need for an internet connection. With its user-friendly approach and versatile functionality, Carbon UI Builder is a valuable tool for designers and developers looking to streamline their UI development process.

<h2>Overview</h2>
The Jumpstart workshop provides a comprehensive guide for deploying a Java microservices application using IBM Code Engine. This workshop focuses on a tailored version of a security application example, showcasing how to utilize a microservices architecture that effectively manages user authentication and access. By leveraging a combination of frontend and backend technologies, developers can easily navigate the setup and deployment process, enabling the creation of secure applications that fit modern software development needs.
The architecture emphasizes the importance of Identity and Access Management (IAM) with Keycloak, facilitating smooth user role management within the application. With its straightforward approach and robust examples, the workshop is a valuable resource for both new and experienced developers looking to enhance their cloud-native application skills.
<h2>Features</h2>
<ul>
<li>
Comprehensive Documentation: The workshop provides detailed instructions that guide users through every step of the deployment process, ensuring clarity and ease of understanding.
</li>
<li>
Microservices Architecture: This setup showcases a well-structured microservices architecture that allows for scalability and modular development practices.
</li>
<li>
User Authentication: By utilizing Keycloak for IAM, the application ensures that user credentials and roles are managed securely, affecting how access is granted across services.
</li>
<li>
Frontend Integration: The inclusion of a JavaScript/Vue.js frontend demonstrates practical integration techniques and provides a dynamic user interface.
</li>
<li>
REST API Communication: The workshop illustrates how different microservices communicate through REST APIs, fostering a clear understanding of service interactions.
</li>
<li>
Real-World Example: The use of an articles microservice as a practical example helps contextualize the theoretical knowledge, making it relatable and applicable.
</li>
<li>
Cloud-Native Focus: Emphasizing cloud-native methodologies, the workshop prepares developers to build applications that are optimized for deployment in modern cloud environments.
</li>
</ul>

<h2>Overview</h2>
Getting started with CDE on IBM Cloud is an excellent choice for developers looking to create modern applications using cutting-edge technologies. This framework integrates Angular 5.0.0 and Node.js, making it easy to build, deploy, and seamlessly manage web applications in the IBM Cloud environment. With two deployment options—automatic or manual—users can quickly set up their projects and leverage the powerful capabilities of the cloud.
The detailed setup process helps ensure that even those new to CDE can successfully navigate through creating a Cloud Foundry application. The flexibility in deployment and ease of use makes it an attractive solution for developers looking to harness the power of cloud-based services.
<h2>Features</h2>
<ul>
<li>Dual Deployment Options: Choose between automatic deployment with a button or manual command-line instructions, catering to different user preferences.</li>
<li>Local Development Support: Easily run applications locally before deploying, allowing for quick testing and iterations.</li>
<li>Environment Configuration: Simple instructions for updating necessary configurations ensure your app runs smoothly in both environments.</li>
<li>Easy Command-Line Interface: Utilize the bx CLI for streamlined interactions with IBM Cloud, making development and deployment processes efficient.</li>
<li>Angular Setup Simplified: Building the front-end is straightforward with commands for building and running the Angular application.</li>
<li>Automatic Reloading: Enjoy automatic updates during development, which means changes to source files reflect immediately, enhancing productivity.</li>
<li>Thorough Documentation: Access to resources like API documentation ensures developers have all the information needed for effective implementation.</li>
</ul>

<h2>Overview</h2>
Creating and deploying microservices has become essential in modern software development, and the Python Flask framework is a popular choice for building such applications. This microservice offers a straightforward way to utilize Flask for creating RESTful APIs, simplifying the deployment process whether it's hosted on the IBM Cloud or run locally. As a robust solution for those looking to implement a microservice architecture, it allows developers to focus on building scalable applications efficiently.
For anyone looking to develop a Python microservice, you'll find that this application comes with comprehensive features and a clear deployment setup that bridges local development and cloud integration seamlessly. Even though the repository has been marked as read-only and no longer maintained, the instructions provided offer a solid foundation for anyone eager to learn and implement a Flask microservice.
<h2>Features</h2>
<ul>
<li>RESTful API: The microservice exposes a RESTful API matching a Swagger definition, ensuring it adheres to industry standards for web services.</li>
<li>Multiple Deployment Options: Deploy easily to IBM Cloud, with support for various platforms like Cloud Foundry, Kubernetes, and Red Hat OpenShift.</li>
<li>Simplified Environment Setup: The <code>manage.py</code> file streamlines running Flask applications, lifting the burden of configuring environment variables manually.</li>
<li>Local Development Flexibility: Various run commands such as <code>start</code>, <code>run</code>, <code>livereload</code>, and <code>debug</code> offer tailored development environments for different scenarios.</li>
<li>Built-in Unit Testing: A utility command to run all unit tests within the project ensures that your application is robust and helps catch errors early in development.</li>
<li>Cloud Developer Tools: Integrates seamlessly with IBM Cloud Developer Tools for a smooth containerization and deployment experience.</li>
<li>Dynamic Frontend Reloading: The <code>livereload</code> feature allows real-time updates to the frontend, enhancing the developer experience during frontend development.</li>
<li>Debugging Support: The option to attach your IDE to the process simplifies debugging and enhances productivity when developing your application.</li>
</ul>

<h2>Overview</h2>
Deploying GitLab on a Kubernetes Cluster can streamline your DevOps processes, making it easier to manage code and track progress in a centralized environment. GitLab, well-known for its robust code-tracking capabilities, integrates seamlessly with Kubernetes to create a powerful multi-component workload suitable for developers and teams. The setup involves containers that handle everything from web interactions to job processing, ensuring that everything runs smoothly and efficiently.
This project provides explicit guidance on how to utilize various components, including NGINX, Ruby on Rails, and databases like PostgreSQL and Redis, to create a fully-functioning deployment on the Kubernetes platform. Whether you're deploying locally with Minikube or using IBM Cloud, this comprehensive guide will help you navigate through the installation process with ease.
<h2>Features</h2>
<ul>
<li>
Multi-Tier Architecture: GitLab's structure consists of various components that can be run in separate containers, enhancing manageability and scalability.
</li>
<li>
Robust Databases: Utilize PostgreSQL for persistent data storage and Redis for job queuing, ensuring your application handles operations smoothly and efficiently.
</li>
<li>
Web Interface Convenience: Users can effortlessly interact with GitLab through an intuitive web interface, making it easy to manage projects, users, and other resources.
</li>
<li>
Powerful CI/CD Integration: GitLab integrates continuous integration and continuous deployment capabilities, streamlining your development process and improving productivity.
</li>
<li>
Kubernetes-Compatible: The setup instructions provided are specifically designed for Kubernetes, simplifying the deployment process and making it accessible for both local and cloud environments.
</li>
<li>
Helm Charts for Easy Installation: Utilize Helm to manage your deployment configurations effortlessly, ensuring that you maintain consistency across different environments.
</li>
<li>
Flexible Deployment Options: Whether you're using Minikube for local testing or IBM Cloud's Kubernetes Service, the flexibility of deployment options caters to a wide range of use cases.
</li>
<li>
Regular Updates and Testing: The code is frequently tested with IBM Cloud Kubernetes Service, which helps ensure reliability and ease of use.
</li>
</ul>

<h2>Overview</h2>
IBM Maximo Hands On Labs offers a collaborative approach to accessing and contributing to the documentation of Maximo. This open-source initiative is designed to empower multiple contributors, streamlining improvements and updates in real-time. With its emphasis on community involvement, it ensures that the documentation remains relevant and up to date for users and developers alike.
By utilizing the MkDocs framework, IBM Maximo Hands On Labs aims to enhance accessibility and usability. The platform's structure promotes a user-friendly experience while enabling contributors to share their insights and feedback effectively.
<h2>Features</h2>
<ul>
<li>Open Source Collaboration: Engages a community of contributors to keep the documentation current and comprehensive.</li>
<li>User-Friendly Documentation: Built on MkDocs, making it easy to navigate and find relevant information quickly.</li>
<li>Contribution Guidelines: Clear instructions for contributors help streamline the process of submitting issues and updates.</li>
<li>Pull Request Approval Process: Ensures that all changes to the main branch go through a rigorous review, maintaining the quality and integrity of the documentation.</li>
<li>Active Community Support: A vibrant community of users and contributors fosters continuous improvement and knowledge sharing.</li>
</ul>

<h2>Overview</h2>
The ability to generate and visualize video analytics has become increasingly important in various industries, and IBM Maximo Visual Inspection provides a powerful platform to achieve that. With its advanced image analysis capabilities, users can build and manage computer vision models that not only process images but also extract meaningful insights through a customizable dashboard. This hands-on approach allows users to engage with the technology directly, leading to a deeper understanding of how to leverage video analytics for practical applications.
The implementation of this code pattern enables users to upload images, train models for object recognition, and visualize analysis results in an interactive manner. By utilizing Vue.js for the frontend and the robust APIs offered by Maximo Visual Inspection, users can create a tailored experience that meets their specific data analysis needs.
<h2>Features</h2>
<ul>
<li>
Comprehensive Image Analysis: IBM Maximo Visual Inspection allows users to build, manage, and deploy computer vision models for robust image analysis including object recognition and classification.
</li>
<li>
Customizable Dashboard: The solution provides a dashboard where users can directly upload images, visualize the results, and draw insights through interactive graphs, making analytics more accessible.
</li>
<li>
User-Friendly Image Upload: Uploading images is straightforward; simply drag and drop images into the dashboard to create datasets, making it easy for users at all levels to manage data.
</li>
<li>
Object Labeling Capabilities: Users can manually label images for training the model, enhancing the model’s ability to recognize different objects, which is critical for applications such as traffic monitoring.
</li>
<li>
Advanced Training Process: After uploading images, users can split videos into frames for labeling and automatically annotate them to improve model accuracy, showcasing advanced machine learning capabilities.
</li>
<li>
Interactive Result Visualization: Processed images and analytics can be viewed in an engaging format on the dashboard, allowing users to interpret results quickly and effectively.
</li>
<li>
Trial Access: IBM Maximo Visual Inspection offers a trial account that enables users to explore the platform without immediate commitment, encouraging experimentation and innovation.
</li>
<li>
Cloud and Local Deployment Options: Users have the flexibility to provision their instances of IBM Maximo Visual Inspection either locally or in the cloud, facilitating a variety of deployment scenarios to fit organizational needs.
</li>
</ul>

<h2>Overview:</h2>
This document introduces an application built to demonstrate IBM's Watson Natural Language Classifier (NLC) for medical diagnosis classification with ICD-10 codes. It explains the purpose of the application, the data set used, and how it can help hospitals and insurance companies in tagging accurate ICD-10 codes. The application is a Python web app based on the Flask microframework.
<h2>Features:</h2>
<ul>
<li>Classification with ICD-10 Code: Utilizes IBM's Watson NLC to classify medical diagnoses with ICD-10 codes.</li>
<li>Training with CSV Data: Trains the NLC model using a subset of ICD-10 entries from a provided CSV file.</li>
<li>Flask Web App: Deploys a web app using Flask framework for easy querying of the NLC model.</li>
<li>Integration with ICD-10 API: Utilizes the freely available ICD-10 API to retrieve names and descriptions based on ICD-10 codes.</li>
<li>Easy Deployment: Provides a step-by-step guide for creating NLC service, training model, and running the web application.</li>
</ul>
<h2>Summary:</h2>
The application is designed to showcase the capabilities of IBM's Watson NLC in classifying medical diagnoses using ICD-10 codes. It leverages a Python web app built on Flask framework and provides a seamless integration with the ICD-10 API for accurate tagging of diseases and health issues. With step-by-step instructions for setting up the NLC service, training the model, and deploying the web app, users can easily understand and implement the classification process.

<h2>Overview</h2>
The Prisma Schema Transformer is a powerful experimental tool designed for Prisma v3, aimed at simplifying the transition from snake_case to camelCase in Prisma schemas. By utilizing the getDMMF method from the @prisma/sdk, it streamlines the post-processing of generated schemas, ensuring that model and field names conform to the camelCase convention. This tool is particularly beneficial for developers who wish to maintain clarity and consistency in their codebase while interfacing with a database that uses snake_case conventions.
Not only does the Prisma Schema Transformer facilitate naming conventions, but it also automates the addition of helpful attributes, such as @updatedAt, when necessary. This makes it an essential utility for developers looking to enhance their productivity by reducing manual work and potential errors in schema manipulation.
<h2>Features</h2>
<ul>
<li>
Snake_case to CamelCase Transformation: Automatically converts snake_case field names to the more readable camelCase format, aligning with JavaScript conventions.
</li>
<li>
Model Name Singularization: Ensures that model names are always singular, promoting best practices in naming and clarity in the schema.
</li>
<li>
Field Name Handling: By default, fields are treated as singular, with special rules for many-to-many relationships, maintaining logical consistency.
</li>
<li>
Automatic @updatedAt Attribute: Adds the @updatedAt attribute to fields that correspond to database columns named updated_at, enhancing schema tracking.
</li>
<li>
Ignore Unwanted Models: Allows users to specify certain models to be ignored during schema processing, giving more control over the final output.
</li>
<li>
Post-Processing Integration: Leverages the getDMMF from @prisma/sdk for extensive post-processing capabilities, creating a more refined schema with minimal effort.
</li>
<li>
Testing and Validation: Includes test fixtures from @prisma/sdk for validating the transformation, ensuring the final schema is reliable and accurate.
</li>
<li>
MIT Licensed: This tool is open-source under the MIT License, promoting community contributions and collaborative development.
</li>
</ul>

<h2>Overview</h2>
The Bitcoin Digital Wallet is a robust solution designed for managing your digital assets securely while ensuring ease of accessibility. Targeted towards both individual users and businesses, this digital wallet leverages IBM Cloud's Hyper Protect Virtual Server to maintain a safe environment against potential threats. It combines a powerful backend built upon a modified Electrum Bitcoin Client and a user-friendly web frontend, facilitating seamless transactions and wallet management in a secure manner.
What sets this digital wallet apart is its emphasis on security features, particularly its encryption capabilities and integration with IBM Cloud Hyper Protect Crypto Services. As the demand for digital currencies continues to grow, this application serves as a vital tool for those looking to securely store and manage their Bitcoin investments.
<h2>Features</h2>
<ul>
<li>
Enhanced Security: Utilizes advanced encryption techniques to protect your wallet against unauthorized access, ensuring that your digital assets remain secure in a "hot wallet" environment.
</li>
<li>
Seamless Integration: Combines a modified Electrum Bitcoin Client for backend management along with a Laravel-based web frontend, allowing users to interact with their wallet easily through a web browser.
</li>
<li>
IBM Cloud Hyper Protect Compatibility: Designed to run on IBM Cloud Hyper Protect Virtual Server, providing a fortified environment for your digital wallet operations.
</li>
<li>
Flexible Deployment Options: The wallet application can be executed locally or on a cloud-based Linux VM, offering users the convenience of their preferred setup.
</li>
<li>
User-Friendly Interface: The web frontend is designed with users in mind, making it easy for both seasoned and novice Bitcoin users to navigate and manage their wallets effectively.
</li>
<li>
Optional Crypto Services Integration: Users can choose to enhance their security by integrating with IBM Cloud Hyper Protect Crypto Services for additional wallet file encryption and decryption.
</li>
<li>
Scalable Architecture: Built using Docker, the application can adapt to growth in user demand, ensuring that performance remains stable even as usage increases.
</li>
<li>
Comprehensive Build Instructions: Detailed guidelines for installation and configuration are provided, allowing users to set up the wallet with ease, whether they're beginner programmers or advanced developers.
</li>
</ul>

<h2>Overview</h2>
Creating modern web applications has never been easier with the combination of React and Node.js. React offers a modular approach to building user interfaces, while Node.js provides a robust server-side environment. This combination is exemplified in a sample application built using Express and React, which integrates best practices like health checks and application metric monitoring. The application showcases 12 popular UI patterns that facilitate the creation of a comprehensive dashboard application.
With a carefully curated set of components for contemporary web development, this sample application utilizes tools like React, Webpack, Sass, and Gulp. Users are empowered to set up a streamlined development environment, allowing for rapid iteration and deployment in different cloud environments.
<h2>Features</h2>
<ul>
<li>
Comprehensive UI Patterns: Includes 12 popular UI patterns that simplify dashboard construction, making it user-friendly for developers of all skill levels.
</li>
<li>
Health Check Endpoint: Implements a built-in health check endpoint to monitor the application's status in real-time, ensuring reliability in production.
</li>
<li>
Application Metric Monitoring: Provides endpoints to access application metrics, aiding in performance evaluation and troubleshooting.
</li>
<li>
Webpack Integration: Utilizes Webpack for efficient bundling and optimization of JavaScript and Sass files, enhancing performance and load times.
</li>
<li>
Gulp Task Runner: Leverages Gulp to automate repetitive tasks, such as running build processes,which streamlines the development workflow.
</li>
<li>
Cloud-Native Deployment: Features tools that facilitate easy deployment on IBM Cloud, helping developers manage their applications effectively in the cloud environment.
</li>
<li>
Modular Architecture: Promotes a modular design with React components, making it easier to manage and scale applications as requirements evolve.
</li>
<li>
External Session Persistence: Encourages best practices by suggesting external services for session management in production environments, ensuring data integrity and durability.
</li>
</ul>

<h2>Overview:</h2>
This document introduces a code pattern for creating a web-based chatbot with voice input and output. It describes the use of Watson Assistant for conversation dialog, Watson Speech to Text for capturing user voice, and Watson Text to Speech for playback responses. The web application is built using JQuery and Python Flask, allowing users to interact with the chatbot using voice commands and receive audio responses.
<h2>Features:</h2>
<ul>
<li>Voice Input and Output: Utilizes Watson Speech to Text and Text to Speech for voice-based interactions with the chatbot.</li>
<li>Integration with Watson Assistant: Chatbot responses are generated using Watson Assistant based on user inputs.</li>
<li>Web Socket Connection: Establishes a connection to transmit voice inputs to Watson Speech to Text.</li>
</ul>
<h2>Summary:</h2>
This code pattern demonstrates the implementation of a web-based chatbot with voice input and output capabilities. By integrating Watson services such as Speech to Text, Text to Speech, and Assistant, users can interact with the chatbot using voice commands and receive audio responses. The use of JQuery and Python Flask simplifies the development of the web application, showcasing an innovative approach to chatbot technology.

Ibm

Akka React Cloudant

Carbon UI Builder

Ce Cns

Cognos Dashboard Demo

Flask Microservice

Kubernetes Container Service GitLab Sample

Maximo Labs

Maximo Visual Inspector Dashboard

Nlc Icd10 Classifier

Prisma Schema Transformer

Secure Bitcoin Wallet

Template Node React

Watson Voice Bot