Displaying 1 to 20 from 87 results

BluePic - BluePic is a sample photo sharing application for iOS that shows you how to connect your mobile application with Kitura, Bluemix services, and OpenWhisk actions

  •    Swift

Read this in other languages: 한국어, Português,中国. BluePic is a photo and image sharing sample application that allows you to take photos and share them with other BluePic users. This sample application demonstrates how to leverage, in a mobile iOS 10 application, a Kitura-based server application written in Swift.

loopback-in-five - Set up a REST API in 5 minutes with Loopback

  •    Javascript

Express.js made it easy to roll up a REST API in Node.js, and it's become the de-facto library for standing up a backend. Strongloop took that and made it even easier to create your APIs. Strongloop created LoopBack, a tool that allows you to generate a Node.js API that's architected like Express.js, and adheres to the OpenAPI spec. You can have a production-ready web API online with Cloud Foundry and ready to go within 10 quick minutes, and it's flexible and scalable to any needs you might have as it grows.

Predictive-Market-Stress-Testing - Code for a Developer Journey that uses the Financial APIs (Investment Portfolio, Predictive Market Scenario and Simulated Instrumented Analytics) on Bluemix

  •    Python

In this developer journey, we will use three Bluemix finance services to create a web application which performs stress test on an investment portfolio. The Investment Portfolio service is used to load the portfolio into the interface. The Predictive Market Scenario service will create a scenario csv file using risk factor and shock magnitude from user inputs. The Simulated Instrument Analytics service uses the scenario csv file with each holding in the portfolio to create a table displaying the current and stressed price of the investment holding. Be sure to load investment portfolio before running the application.

swift-enterprise-demo - Showcase enterprise capabilities for Swift apps and micro-services.

  •    Swift

Using Swift-Enterprise-Demo you can see how the application can scale in and out according to rules defined in the Auto Scaling service, receive alerts when important events occur in the application, and see how the Circuit Breaker pattern prevents the application from executing actions that are bound to fail. The browser-based component of this application provides UI widgets that you can use to trigger actions that will cause stress on the server component of the application. These actions can increase or decrease the memory usage, increase or decrease the HTTP response time by adding or removing a delay, and increase or decrease the number of HTTP requests per second.

tjbot-sports-buddy - A Node application that can be run locally or on a Raspberry Pi powered TJBot

  •    Javascript

Read this in other languages: 한국어. Watson Conversation is now Watson Assistant. Although some images in this code pattern may show the service as Watson Conversation, the steps and processes will still work.

Akka-cluster-deploy-kubernetes - Deploy an AKKA cluster to kubernetes

  •    HTML

In this Code Pattern, we will deploy a simple Akka application on Kubernetes to demonstrate how you can build an inherently scalable, distributed solution. Akka is “a set of open-source libraries for designing scalable, resilient systems that span processor cores and networks”. Akka Cluster, in particular, enables the distribution of an application over a cluster, thereby lending elasticity to the application by automatically scaling out or in with the number of members in the cluster. Kubernetes is a container orchestration platform and has the ability to automatically scale the number of pods up or down in response to workload. Together, the two work in concert: your Akka cluster expands automatically as Kubernetes scales the number of pods running for a particular Kubernetes deployment.

CognitiveConcierge - A swift iOS app for recommending the best local restaurants with a swift with kitura backend API

  •    Swift

CognitiveConcierge is an end-to-end Swift application sample with an iOS front end and a Kitura web framework back end. This application also demonstrates how to pull in a number of different Watson services to your Swift client and server side apps via the Watson Developer Cloud's Swift SDK, including Conversation, Text to Speech, Speech to Text, and the Natural Language Understanding service. The user deploys the server application to IBM Cloud.

gdpr-fingerprint-pii - Use Watson Natural Language Understanding and Watson Knowledge Studio to fingerprint personal data from unstructured documents

  •    Java

Read this in other languages: 한국어. General Data Protection Regulation (GDPR) will be a new regulation in EU which will come into effect in May 2018. This new regulation applies to those organizations, including those outside EU, which collect and process personal data. It aims to give more control to individuals over usage of their personal data.

watson-discovery-ui - Develop a fully featured Node.js web app built on the Watson Discovery Service

  •    Javascript

In this Code Pattern, we walk you through a working example of a web application that queries and manipulates data from the Watson Discovery Service. This web app contains multiple UI components that you can use as a starting point for developing your own Watson Discovery Service applications. For this Code Pattern, we will be using data that contains reviews of Airbnb properties located in the Austin, TX area.

watson-vehicle-damage-analyzer - A server and mobile app to send pictures of vehicle damage to IBM Watson Visual Recognition for classification

  •    Javascript

In this developer code pattern, we will create a mobile app using Apache Cordova, Node.js and Watson Visual Recognition. This mobile app sends pictures of auto and motorcycle accidents and issues to be analyzed by a server app, using Watson Visual Recognition. The server application will use pictures of auto accidents and other incidents to train Watson Visual Recognition to identify various classes of issues, i.e. vandalism, broken windshield, motorcycle accident, or flat tire. A developer can leverage this to create their own custom Visual Recognition classifiers for their use cases. Currently this mobile app only runs on Android, but can be easily ported to iOS.

watson-waste-sorter - Create an iOS phone application that sorts waste into three categories (landfill, recycling, compost) using a Watson Visual Recognition custom classifier

  •    Swift

In this developer code pattern, we will create a mobile app, Python Server with Flask, and Watson Visual Recognition. This mobile app sends pictures of waste and garbage to be analyzed by a server app, using Watson Visual Recognition. The server application will use pictures of common trash to train Watson Visual Recognition to identify various categories of waste, e.g. recycle, compost, or landfill. A developer can leverage this to create their own custom Visual Recognition classifiers for their use cases. Create an IBM Cloud account and install the Cloud Foundry CLI on your machine.

ibm-integration-examples - Demonstrations of how to access IBM data storage technologies from Lagom services

  •    Java

Lagom is a framework for developing reactive microservices in Java or Scala. Created by Lightbend, Lagom is built on the proven Akka toolkit and Play Framework, and provides a highly productive, guided path for creating responsive, resilient, elastic, message-driven applications. This set of examples will grow over time as new integrations are developed.

innovate-digital-bank - This repository contains instructions to build a digital bank composed of a set of microservices that communicate with each other

  •    Javascript

In this Code Pattern, we will build a dummy digital bank composed of a set of microservices that communicate with each other. We'll be using Node.js, Express, MongoDB, and the IBM Cloud Container Service. Development of cloud native apps that are broken down into a set of microservices has been praised and commended as best-practice in software development methodologies. Software stacks like Kubernetes, which enable cloud native computing, have therefore picked up quite a bit of popularity.

Ionic-MFP-App - This repository contains instructions to develop a secure, enterprise-grade Ionic/Cordova based hybrid mobile app that connects to CouchDB/Cloudant and ObjectStorage via IBM Mobile Foundation service

  •    TypeScript

When developing your enterprise mobile app that needs centralized hosting of data, use of cloud-native services such as Cloudant No-SQL Database for storing textual data and Object Storage service for storing image/video/audio data, allows you to quickly go from idea-conception to reality. The Mobile Foundation service available from IBM Cloud provides a scalable mobile access gateway for securely accessing those backend services, and it provides other essential mobile backend capabilities such as push notifications, app lifecycle management and app analytics. This code pattern gives you step by step instructions for developing an Ionic/Cordova based hybrid mobile app that securely connects to Cloudant and Object Storage services via IBM MobileFoundation (aka MFP) service.

nlc-icd10-classifier - A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code

  •    Python

Read this in other languages: 日本語. DISCLAIMER: This application is used for demonstrative and illustrative purposes only and does not constitute an offering that has gone through regulatory review. It is not intended to serve as a medical application. There is no representation as to the accuracy of the output of this application and it is presented without warranty.

Predictive-Industrial-Visual-Analysis - Predictive Industrial Visual Analysis using Watson Visual Recognition, IBM Cloud Functions and Cloudant database

  •    Javascript

Skill Level: Beginner N.B: All services used in this repo are Lite plans. In this code pattern, we will identify industrial equipment for various damages upon visual inspection by using machine learning classification techniques. Using Watson Visual Recognition, we will analyze the image against a trained classifier to inspect oil and gas pipelines with six identifiers - Normal, Burst, Corrosion, Damaged Coating, Joint Failure and Leak. For each image we will provide a percent match with each of the category, on how closely the image matches one of the damaged identifiers or the Normal identifier. This data can then be used to create a dashboard to the pipelines needing immediate attention to no attention.

predictive-market-using-arria - Compute a stress test using the Predictive Market Scenario service and Simulated Instrument Analytics service on a set of investments maintained in the Investment Portfolio service, and then narrate the results using the Arria NLG service

  •    Javascript

This code pattern demonstrates how to compute a stress test using the Predictive Market Scenario service and Simulated Instrument Analytics service on a set of investments maintained in the Investment Portfolio service, and then narrate the results using the Arria NLG service. You will need to create Arria service in IBM Cloud and then bind the Arria NLG service to your application.

android-kubernetes-blockchain - Build a Blockchain enabled health and fitness app with Android and Kubernetes

  •    Java

In this code pattern, we will create an Android app that tracks the user's physical steps with Blockchain capabalities using Kubernetes. The users are registered to the Blockchain network anonymously and get rewarded with some "coins" for the steps they take. The users can trade their coins for some swag and these transactions are executed in the Blockchain network. This Android app was used in KubeCon Europe 2018. This code pattern is for developers who wish to provide data anonymity and security to their users. Their users will be more confident to use their app if it gives them more control over their privacy. The developers can also extend the pattern to use the backend from different platforms.

deploy-react-kubernetes - Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input

  •    Javascript

React and Redux is the perfect Javascript library if your application is similar to the one described above. React provides a component based structure for everything included in an application and allows abstraction if needed to limit duplication. With Redux, it handles all of the state and can easily manage data in an application. Once an application has been developed, it needs to be deployed for the rest of the world to see. There are many choices when looking for the right solution to manage and deploy your application. It can often be overwhelming when you're trying to pick the right solution.

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