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microgateway - IBM API Connect Microgateway framework, built on Node.js & Nginx
The role of a Gateway in an API architecture is to protect, enrich and control access to API services. These sets of capabilities are often related to security and rate limiting, but it also includes the ability to do deeper message inspection. For example, you may want to insure that the message received is properly formed JSON, XML, or data following your own specific format. In addition, the Gateway can modify the payload or transform it to meet old or new interfaces for the API backend. Finally, the Gateway can invoke multiple services and aggregate responses from multiple API backends.The Microgateway is the foundation for all of those things. It is optimized to perform security, rate limiting, and much more complex packet processing through a highly flexible flow-engine.
api-management gateway apiconnect nodejs nginx ibm api connect microgateway microservices secure enforcecarbon-components - The component library behind Carbon Design System
The Carbon Design System is a series of individual styles and components, that when combined make beautiful, intuitive designs. These designs are systemic and logical, as they all follow the same universal principles. The component library gives developers a collection of re-usable HTML and SCSS partials for building their products.
html scss carbon-design-system css carbon component components ibm js library pattern patterns sass style-guide eyeglass-modulenode-sdk - :comet: Node.js library to access IBM Watson services.
Node.js client library to use the Watson APIs. The examples folder has basic and advanced examples. The examples within each service assume that you already have service credentials.
ibm-watson-services language-translation conversation-service watson tone-analyzer natural-language visual-recognition personality-insights typescript conversation dialog discovery ibm natural-language-classifier natural-language-understanding speech-to-text text-to-speech tone_analyzer watson-developer-cloud wdcqiskit-api-py - A Python library for the Quantum Experience API
The official API Client to use IBM Quantum Experience in Python. This package can be used in Jupyter Notebook.
quantum-computing api-client quantum-experience ibm qiskit3270font - A 3270 font in a modern format
This font is derived from the x3270 font, which, in turn, was translated from the one in Georgia Tech's 3270tool, which was itself hand-copied from a 3270 series terminal. I built it because I felt terminals deserve to be pretty. The .sfd font file contains a x3270 bitmap font that was used for guidance. If you are running Debian or Ubuntu and you don't want to mess with building your font files, you can simply apt-get install fonts-3270 (It's available from the Debian (https://packages.debian.org/sid/fonts/fonts-3270) and Ubuntu (http://packages.ubuntu.com/zesty/fonts-3270) package repos at https://packages.debian.org/sid/fonts/fonts-3270 and http://packages.ubuntu.com/xenial/fonts/fonts-3270, although the packaged version may not be the latest version, but it's good enough for most purposes. For those who don't have the luxury of a proper system-managed package, Adobe Type 1, TTF, OTF and WOFF versions are available for download on http://s3.amazonaws.com/3270font/3270_fonts_b3b4b7d.zip (although this URL may not always reflect the latest version).
font fontforge ibm font-files sfd programming-font programming-fonts typography mainframebotkit-middleware - A middleware to connect Watson Conversation Service to different chat channels using Botkit
This middleware plugin for Botkit allows developers to easily integrate a Watson Assistant workspace with multiple social channels like Slack, Facebook, and Twilio. Customers can have simultaneous, independent conversations with a single workspace through different channels. Sign up for an IBM Cloud account.
bot botkit chatbot conversation assistant ibm watsonCloudComparer - Compare the various managed cloud services offered by the major public cloud providers in the market
This is the second version of my Cloud Comparison Slide deck which i prepared a year back(can be downloaded here: http://www.slideshare.net/ilyas_it83/microsoft-azure-vs-amazon-web-services-aws-services-feature-mapping). The version 1 recieved more than 22K views and 400+ download at the time of working on this project. This gave me the idea of creating a robust and dependable comparison/mapping between the various services offered by the major cloud providers in a lively and updatable format. The project is open sourced to let fellow Cloud Architects,IT Pros,Developers to feel free to edit and update the comparison upto date.
cloud azure ibm aws alibaba googleloopback-connector-cloudant - LoopBack Connector for IBM Cloudant
IBM Cloudant® is a NoSQL database platform built for the cloud. You can use Cloudant as a fully-managed DBaaS running on public cloud platforms like Bluemix and SoftLayer or via an on-premises version called Cloudant Local.The loopback-connector-cloudant module is the Cloudant connector for the LoopBack framework.
ibm strongloop loopback cloudant datasource connectorloopback-connector-db2 - LoopBack Connector for IBM DB/2
IBM® DB2® is the database of choice for robust, enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs. The loopback-connector-db2 module is the LoopBack connector for DB2.The --save option adds the dependency to the application's package.json file.
ibm strongloop loopback db2 datasource connectorincubator-openwhisk-vscode - Visual Studio Code extension (prototype) for authoring OpenWhisk actions inside the editor
This is a prototype extension for Visual Studio Code https://code.visualstudio.com/ that enables complete round trip cycles for authoring OpenWhisk actions inside the editor. The key point for this extension is that it has full round trip for open whisk actions (list, create new local, create new remote, update, import from remote system, invoke, etc…) without ever leaving the IDE and makes dev cycles far shorter and easier. It also works for both Swift and JS actions on Windows, Mac, and Linux.Download and run the installer for your platform from the Downloads Section.
ibm openwhiskbluemix-object-storage - Easily manage the accounts, containers, and objects for the IBM Bluemix Object Storage service
Easily manage the accounts, containers, and objects for the IBM Bluemix Object Storage service.
ibm bluemix object storage openstack object-storagepagenodes - Completely Browser Based IOT Platform
You can check out a working example of pagenodes here. Pagenodes is an in-browser fork of node-red. It requires no back-end server and is 100% browser-based. If you are going to host this, many modules will need to be hosted via https, or you can run it locally for full functionality. Pagenodes is currently in a heavy state of development, and we are working on a roadmap to follow for future implementations. In its current form it offers a large amount of functionality with very little set up.
editor messaging iot m2m pi arduino beaglebone ibm flownatural-language-classifier-nodejs-cli - Natural Language Classifier CLI tool
This is a command line interface (CLI) for the IBM Watson™ Natural Language Classifier service. For a list of available commands, run $ node natural-language-classifier-cli.js --help.
ibm watson wdc watson-developer-cloud natural-language-classifierTranscriber - NWJS os x desktop based application that given a video/audio file returns a transcription using IBM Watson Speech to text API
This app was an initial prototype to test the quality of IBM STT, and is no longer activly supported I am now working on a more full fledge version at https://github.com/OpenNewsLabs/autoEdit_2 ( http://www.autoedit.io ). If you clone the repo you can start the app with npm start.
nwjs ibm watson speech to text sttmicroservices-traffic-management-using-istio - Istio is an open platform that provides a uniform way to connect, manage, and secure microservices
Read this in other languages: 한국어. Microservices and containers changed application design and deployment patterns, but along with them brought challenges like service discovery, routing, failure handling, and visibility to microservices. "Service mesh" architecture was born to handle these features. Applications are getting decoupled internally as microservices, and the responsibility of maintaining coupling between these microservices is passed to the service mesh.
istio microservices zipkin envoy kubernetes google lyft ibm ibm-developer-technology-cloud ibmcodepixiedust-traffic-analysis - A Jupyter notebook using PixieDust and PixieApps to visualize San Francisco traffic accidents
In this Code Pattern we will use PixieDust running on IBM Data Science Experience (DSX) to analyze traffic data from the City of San Francisco. DSX is an interactive, collaborative, cloud-based environment where data scientists, developers, and others interested in data science can use tools (e.g., RStudio, Jupyter Notebooks, Spark, etc.) to collaborate, share, and gather insight from their data. The intended audience for this Code Pattern is application developers and other stakeholders who wish to utilize the power of Data Science quickly and effectively.
notebook data-science pixiedust dsx ibm spark journey jupyter-notebook ibmcode ibm-developer-technology-cognitive bluemixpowerai-market-sentiment - Built for developers familiar with IBM Power systems that are looking to leverage IBM's new PowerAI offering for machine learning
Read this in other languages: 한국어. In this Code Pattern we will use a Jupyter notebook to showcase an example of machine learning with time series on IBM Power8 systems. The notebook will focus on evalulating the predictability of future financial market values in the "renewable energy" sector by examining related markets and sentiment detected in New York Times news articles.
cognitive ibm-developer-technology-cognitive data-science jupyter-notebook ibmcode notebook nimbix-cloud-platform powerai ibm nimbixpowerai-transfer-learning - Image recognition training with TensorFlow Inception and transfer learning
Read this in other languages: 한국어. The pre-trained Inception-v3 model achieves state-of-the-art accuracy for recognizing general objects with 1000 classes. The model extracts general features from input images in the first part and classifies them based on those features in the second part. We will use this pre-trained model and re-train it it to classify houses with or without swimming pools.
jupyter-notebook nimbix-cloud-platform ibm nimbix cloud tensorflow inception image-recognition powerai ibmcode
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