JavaScript Libraries for Machine Learning

• Scala Style Guide
• Creating a Scala Maven application for Apache Spark in HDInsight using IntelliJ
• Using Scala to Program AWS Glue ETL Scripts
• Using Flink Scala shell with Amazon EMR clusters
• AWS EMR and Spark 2 using Scala from Udemy
• Using the Google Cloud Storage connector with Apache Spark
• Write and run Spark Scala jobs on Cloud Dataproc for Google Cloud
• Scala Courses and Certifications from edX
• Scala Courses from Coursera
• Scala - oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries.
• Using the Google Cloud Storage connector with Apache Spark
• Write and run Spark Scala jobs on Cloud Dataproc for Google Cloud
• Scala Courses and Certifications from edX
• Top Scala Courses from Udemy

JavaScript Libraries for Machine Learning

• Start Developing iOS Apps with Swift
• Apple Developer Documentation
• Apple Foundation Framework
• Swift - C.
• Xcode + Swift
• Swift 5.3 Basics
• Swift Courses Online from Coursera
• Swift Courses Online from Udemy
• Learning Swift course from Codecademy
• Apple Core Animation Framework
• Apple Core Graphics Framework
• Getting Started with LLDB
• Mac Catalyst - iOS - Human Interface Guidelines
• Amazon EC2 Mac Instances
• Apple Developer Forums
• Swift Forums

JavaScript Libraries for Machine Learning

• Safety in Systems Programming with Rust at Standford by Ryan Eberhardt
• WebAssembly meets Kubernetes with Krustlet using Rust
• Microsoft's Project Verona
• Rust - paradigm programming language focused on performance and safety. Rust has a comparable amount of runtime to C and C++, and has set up its standard library to be amenable towards OS development. Specifically, the standard library is split into two parts: core and std. Core is the lowest-level aspects only, and doesn't include things like allocation, threading, and other higher-level features.
• The Rust Language Reference
• Learning Rust
• Why AWS loves Rust
• Rust Programming courses on Udemy

JavaScript Libraries for Machine Learning

• Crater
• Wasmer - integrations).
• Firecracker - built for creating and managing secure, multi-tenant container and function-based services that provide serverless operational models. Firecracker runs workloads in lightweight virtual machines, called microVMs, which combine the security and isolation properties provided by hardware virtualization technology with the speed and flexibility of containers. Firecracker has also been integrated in container runtimes, for example [Kata Containers](https://github.com/kata-containers/documentation/wiki/Initial-release-of-Kata-Containers-with-Firecracker-support) and [Weaveworks Ignite](https://github.com/weaveworks/ignite).
• Sonic - less search backend similar to Elasticsearch in some use-cases.
• Rocket
• Vector - performance, end-to-end (agent & aggregator) observability data platform that puts the user in control of their observability data.
• Chalk - like logic solver.
• stdarch - specific APIs and run-time feature detection.
• Krustlet - and-toleration/). The project is currently experimental.

JavaScript Libraries for Machine Learning

• Scala Syntax (official)
• ScalaScript
• IntelliJ IDEA Scala plugin
• ScalaTest™
• Dotty
• ScalaMock - time reflection to create type safe code or manipulate programs.
• Scala.js
• Polynote
• Scala Native - of-time compiler and lightweight managed runtime designed specifically for Scala.
• Gitbucket
• Finagle - agnostic RPC system
• Gatling - Sent-Events and JMS.
• Scalatra - performance, async web framework, inspired by [Sinatra](https://www.sinatrarb.com/).
• Apache PredictionIO
• BigDL
• Eclipse Deeplearning4J (DL4J) - based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.
• Azure Databricks - based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
• Scala.js
• Polynote
• Scalatra - performance, async web framework, inspired by [Sinatra](https://www.sinatrarb.com/).

JavaScript Libraries for Machine Learning

• Clojure - purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
• ClojureScript
• Clojure Community Resources
• Clojure Training
• Learning Clojure on Udemy
• Clojure Fundamentals on Pluralsight
• Web Development in Clojure
• Clojure Online Courses on LinkedIn Learning
• Clojure Workshop on Packt
• Clojure Style Guide

JavaScript Libraries for Machine Learning

• Xcode - based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
• SwiftUI
• UIKit - Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.
• AppKit
• ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
• RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
• SceneKit - level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.
• Mac Catalyst
• Instruments - analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.
• Cocoapods - C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project.
• Vapor
• Hero
• Kingfisher - Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.
• Realm - C.
• Perfect - facing and server-side applications.
• Alamofire
• Eureka
• Carthage
• ReactiveCocoa
• AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.

JavaScript Libraries for Machine Learning

• Calva - emacs/orchard).
• Cursive
• Clj and deps.edn
• Leiningen
• Clojars - focused Maven repository.
• Clojure Toolbox
• CIDER - mode, an Emacs minor-mode that complements clojure-mode project.
• Riemann
• Lacinia

JavaScript Libraries for Machine Learning

• Redox - like Operating System written in Rust, aiming to bring the innovations of Rust to a modern microkernel and full set of applications. Acitvely being developed by [Jeremy Soeller](https://gitlab.redox-os.org/jackpot51).
• Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers. Tock uses two mechanisms to protect different components of the operating system. First, the kernel and device drivers are written in Rust, a systems programming language that provides compile-time memory safety, type safety and strict aliasing. Tock uses Rust to protect the kernel (the scheduler and hardware abstraction layer) from platform specific device drivers as well as isolate device drivers from each other. Second, Tock uses memory protection units to isolate applications from each other and the kernel.
• Rust on Chrome OS
• Writing an OS in Rust - opp).

JavaScript Libraries for Machine Learning

• Python - level programming language. Python is used heavily in the fields of Data Science and Machine Learning.
• Python Developer’s Guide
• Azure Functions Python developer guide - us/azure/azure-functions/functions-reference).
• CheckiO
• Python Institute
• PCEP – Certified Entry-Level Python Programmer certification
• PCAP – Certified Associate in Python Programming certification
• MTA: Introduction to Programming Using Python Certification
• Getting Started with Python in Visual Studio Code
• Google's Python Style Guide
• Google's Python Education Class
• Real Python
• Intro to Python for Data Science
• Intro to Python by W3schools
• Codecademy's Python 3 course
• Learn Python with Online Courses and Classes from edX
• Python Courses Online from Coursera
• Python Package Index (PyPI)
• PyCharm
• Django - level Python Web framework that encourages rapid development and clean, pragmatic design.
• Flask
• Web2py - source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases.
• Tornado - blocking network I/O, which can scale to tens of thousands of open connections.
• Sentry
• Scrapy - level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
• CherryPy - oriented HTTP web framework.
• Sanic
• Pyramid - world web application development and deployment more fun and more productive.
• TurboGears
• Falcon - performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
• NumPy
• Pillow
• IPython
• GraphLab Create - scale, high-performance machine learning models.
• Pandas
• Matplotlib - quality figures in a variety of hardcopy formats and interactive environments across platforms.
• Scikit-Learn
• PCPP – Certified Professional in Python Programming 2
• Python Tools for Visual Studio(PTVS)

JavaScript Libraries for Machine Learning

• Go
• Golang Contribution Guide
• Uber's Go Style Guide
• GitLab's Go standards and style guidelines
• Effective Go
• Go: The Complete Developer's Guide (Golang) on Udemy
• Getting Started with Go on Coursera
• Programming with Google Go on Coursera
• Learning Go Fundamentals on Pluralsight
• Learning Go on Codecademy
• Google Developers Training

JavaScript Libraries for Machine Learning

• Set up NodeJS on WSL 2
• Getting started with Node.js in Google Cloud
• Getting Started with Node.js in AWS
• Node.js App Hosting & Deployment in Microsoft Azure
• Introduction to Node.js by W3Schools
• Node.js tutorial in Visual Studio Code
• Server-side Development with NodeJS, Express and MongoDB on Coursera
• Node.js - side scripts outside of a browser.
• Node.js App Hosting & Deployment in Microsoft Azure

JavaScript Libraries for Machine Learning

• golang tools
• Go in Visual Studio Code
• NATS - premise, in the cloud, at the edge, and even on a Raspberry Pi. NATS can secure and simplify design and operation of modern distributed systems.
• Fiber

JavaScript Libraries for Machine Learning

• TypeScript Support for Vue.js
• Vue.js - adoptable JavaScript framework for building UI on the web.
• Introduction to Vue.js
• Vue.js API
• Introduction to Vue Test Utils
• Vue JavaScript Tutorial in Visual Studio Code
• Vue.js Plugins for JetBrains
• Introducing Storybook for VueJS
• Vue Mastery is the Ultimate Learning Resource for Vue.js
• Learn Vue.js from core-team members and industry experts on VueSchool
• VueJS Courses on Udemy
• Learning Vue.js on Codecademy
• VueJS Gitter
• VueJS Forum
• VueJS Open Collective

• Deno
• NativeScript
• AssemblyScript
• TensorFlow.js - source WebGL hardware-accelerated JavaScript library for training and deploying machine learning models.
• Rome - status) for JavaScript, TypeScript, JSON, HTML, Markdown, and CSS.
• Eclipse Theia - fledged multi-language Cloud & Desktop IDE-like products with state-of-the-art web technologies.
• TypeScript ESLint
• TensorFlow.js - source WebGL hardware-accelerated JavaScript library for training and deploying machine learning models.
• ReSharper

JavaScript Libraries for Machine Learning

• PhpStorm
• Laravel
• PHP Tools for Visual Studio/VS Code
• Symfony
• CakePHP
• Composer
• DesignPatternsPHP
• CodeIgniter
• HHVM - source virtual machine designed for executing programs written in [Hack](https://hacklang.org/). HHVM uses a just-in-time (JIT) compilation approach to achieve superior performance while maintaining amazing development flexibility. HHVM should be used together with a webserver like the built in, easy to deploy [Proxygen](https://docs.hhvm.com/hhvm/basic-usage/proxygen), or a [FastCGI-based](https://docs.hhvm.com/hhvm/advanced-usage/fastCGI) webserver on top of nginx or Apache.
• Phalcon
• Swoole - driven asynchronous & coroutine-based concurrency networking communication engine with high performance written in C and C++ for PHP.
• Matomo - featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code. Simply copy and paste this tag on websites you wish to track and access your analytics reports in real-time.
• Grav - based Web-platform. There is Zero installation required. Just extract the ZIP archive, and you are already up and running. It follows similar principles to other flat-file CMS platforms, but has a different design philosophy than most. Grav comes with a powerful Package Management System to allow for simple installation and upgrading of plugins and themes, as well as simple updating of Grav itself.
• Slim
• Flutter

JavaScript Libraries for Machine Learning

• Angular
• Getting Started with Angular
• What Is AngularJS?
• AngularJS Tutorial on W3Schools
• Angular Certification - Become a certified Angular Developer
• Angular University
• Angular Courses Online on Udemy
• Angular Courses Online on Coursera
• Learn Angular with Online Courses and Lessons on edX
• Angular Online Training Courses on LinkedIn Learning
• Learning AngularJS, including Angular directives from Codecademy
• Learning Angular from Pluralsight
• Ionic Angular Overview
• Angular Language Service for Visual Studio
• Angular JavaScript Tutorial in Visual Studio Code
• Laravel and Angular

• JavaScriptCore - C, and C-based apps. You can also use JavaScriptCore to insert custom objects into the JavaScript environment.
• Ember.js
• AngularJS
• Backbone.js - value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface.
• HTML (HyperText Markup Language)
• Cascading Style Sheets (CSS)

JavaScript Libraries for Machine Learning

• TensorFlow.js
• Brain.js
• ConvNetJS
• Neuro.js
• Stdlib
• Deeplearn.js - accelerated JavaScript library for machine intelligence. It brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode.

JavaScript Libraries for Machine Learning

• Apache Cordova - platform development, avoiding each mobile platform's native development language.
• Getting Started with Cordova
• Top Apache Cordova Courses on Udemy
• Apache Cordova - Building Hybrid Mobile App for Android & iOS Course on Udemy
• Learning Apache Cordova Course on Linkedin Learning
• Apache Cordova: Building Cross-Platform Mobile Apps Course on Linkedin Learning
• Choosing a Cross-Platform Development Tool: Cordova, Ionic, React Native, Titanium, and Xamarin Course on Linkedin Learning
• Convert a web app to a Cordova project Course on Linkedin Learning
• Build a Cordova app Course on Linkedin Learning

JavaScript Libraries for Machine Learning

• Getting Started with React
• React JavaScript Tutorial in Visual Studio Code
• React Community Resources
• React Courses on Coursera
• React Courses on Udemy
• React Nanodegree program on Udacity
• Becoming a React Developer Learning Path on LinkedIn Learning
• Learning ReactJS on Codecademy
• React Tutorials and Training Courses on Pluralsight
• Introduction to React Course on Cloud Academy
• React

JavaScript Libraries for Machine Learning

• React Native
• Ant Design - class UI design language and React UI library.
• Material-UI
• React Hook Form

JavaScript Libraries for Machine Learning

• Ionic GitHub
• Ionic Framework - Enterprise Training
• Ionic Academy
• Top Ionic Courses Online | Udemy
• Ionic React: Cross-Platform Mobile Development with Ionic 5 | Udemy
• Ionic & Angular JS: Principles Of Mobile and Web Development
• Ionic: Getting Started | Pluralsight
• Building Desktop Apps with Ionic and Electron | Pluralsight
• Ionic Essential Training | LinkedIn Learning
• Ionic React: Cross-Platform Mobile Development with Ionic 5 | Udemy

JavaScript Libraries for Machine Learning

• Ionic Native
• Stencil - ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to [React](https://reactjs.org/), [Angular](https://angular.io/), [Vue.js](https://vuejs.org/), and traditional web developers from a single, framework-agnostic codebase.
• Capacitor - platform API and code execution layer that makes it easy to call Native SDKs from web code and to write custom native plugins that your app may need. Also, Capacitor provides first-class Progressive Web App(PWAs) support so you can write one app and deploy it to the app stores and the mobile web.

JavaScript Libraries for Machine Learning

• node-docker
• egg
• jenkins-nodejs - installer, allowing to create as many NodeJS installations "profiles" as you want.
• Strapi
• Hexo
• Fastify
• NW.js
• PM2 - in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.
• nvm - user, and invoked per-shell. nvm works on any POSIX-compliant shell (sh, dash, ksh, zsh, bash), in particular on these platforms: unix, macOS, and windows WSL.
• NPM

JavaScript Libraries for Machine Learning

• App Builder
• Instabug - app feedback solution. With a one minute install guide, it enables users to seamlessly report bugs while automatically attaching details such as network logs, repro-steps, etc.
• Onsen UI - based HTML5 framework offers a large selection of components and responsive layout support. Onsen UI lets you create professionally designed multiplatform apps without acquiring additional skillset.
• ReactiveUI - platform model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming, which is a paradigm that allows you to abstract mutable state away from your user interfaces and express the idea around a feature in one readable place and improve the testability of your application.
• NSB/AppStudio
• React Boilerplate - first foundation with the best developer experience and a focus on performance and best practices.
• Ionic - end SDK for building cross-platform mobile apps. Built on top of Angular, Ionic also provides a platform for integrating services like push notifications and analytics.
• Mobiscroll
• VoltBuilder
• React Boilerplate - first foundation with the best developer experience and a focus on performance and best practices.
• Monaca - powered and framework-agnostic set of tools Monaca supports both online and offline development, debugging with live-reload feature and cloud build experience.
• VoltSigner - nothing gets uploaded. Compatible with all build tools. Notably, it can produce iOS certificates on Windows.
• React Boilerplate - first foundation with the best developer experience and a focus on performance and best practices.
• React Boilerplate - first foundation with the best developer experience and a focus on performance and best practices.

JavaScript Libraries for Machine Learning

• Angular Material UI component library
• AngularFire
• Apollo Angular
• GraphQL Code Generator - code-generator.com/docs/plugins/index) (TypeScript, Flow, React, Angular, MongoDB, Stencil, Reason, and more).
• NgRx
• Protractor - to-end test framework for Angular and AngularJS applications. Protractor is a [Node.js](http://nodejs.org/) program built on top of [WebDriverJS](https://github.com/SeleniumHQ/selenium/wiki/WebDriverJs).
• PrimeNG
• Project Clarity
• Angular CLI - line tool makes it easy to create an application that already works, right out of the box and follows all of Angular's best practices.

JavaScript Libraries for Machine Learning

• Vue CLI - to-end Testing.
• Vue Router
• VuePress - rendered static HTML for each page, and runs as an SPA once a page is loaded.
• Vuefire
• Vuetify
• Buefy
• Vue-Apollo
• Hoppscotch
• Apollo Client - featured caching GraphQL client with integrations for React, Angular, and more. It allows you to easily build UI components that fetch data via GraphQL.
• Onsen UI - feeling Progressive Web Apps (PWAs) and hybrid apps. It provides bindings for Angular 1, 2, React and Vue.js.
• Storybook

JavaScript Libraries for Machine Learning

• Svelte Tutorials
• Svelte Code Examples
• Svelte API
• Svelte REPL
• Getting started with Svelte - Learning web development | MDN
• Google's JavaScript Style Guide
• Svelte

JavaScript Libraries for Machine Learning

• Svelte Language Tools
• Inferno - like library for building high-performance user interfaces on both the client and server.

JavaScript Libraries for Machine Learning

• Top C Courses on Udemy
• C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
• C - purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.
• Embedded C - committee) to address issues that exist between C extensions for different [embedded systems](https://en.wikipedia.org/wiki/Embedded_system). The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.
• C & C++ Developer Tools from JetBrains
• Open source C++ libraries on cppreference.com
• C++ Graphics libraries
• C++ Libraries in MATLAB
• C++ Tools and Libraries Articles
• Google C++ Style Guide
• Introduction C++ Education course on Google Developers
• C++ style guide for Fuchsia
• C and C++ Coding Style Guide by OpenTitan
• Chromium C++ Style Guide
• C++ Core Guidelines
• C++ Style Guide for ROS
• Learn C++
• Learn C : An Interactive C Tutorial
• C++ Institute
• C++ Online Training Courses on LinkedIn Learning
• C++ Tutorials on W3Schools
• Learn C Programming Online Courses on edX
• Learn C++ with Online Courses on edX
• Learn C++ on Codecademy
• Coding for Everyone: C and C++ course on Coursera
• C++ For C Programmers on Coursera
• Top C Courses on Coursera
• C++ Online Courses on Udemy
• Basics of Embedded C Programming for Beginners on Udemy
• C++ For Programmers Course on Udacity
• C++ Fundamentals Course on Pluralsight
• Introduction to C++ on MIT Free Online Course Materials
• Introduction to C++ for Programmers | Harvard
• Online C Courses | Harvard University

JavaScript Libraries for Machine Learning

• jQuery API Documentation
• jQuery Learning Center
• jQuery Courses on Coursera
• jQuery Courses on Udemy
• jQuery Training Courses on LinkedIn Learning
• Intro to jQuery on Udacity
• Intro to AJAX on Udacity
• Learning jQuery on Codecademy
• jQuery Best Practices Training on Learning Tree
• Learning the jQuery Basics on Pluralsight
• jQuery In-Depth on Pluralsight
• ASP.NET Ajax JavaScript and jQuery Course on Pluralsight
• jQuery Certification from W3Schools
• jQuery Best Practices Training on Learning Tree
• jQuery - rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of web browsers.

JavaScript Libraries for Machine Learning

• Electron From Scratch: Build Desktop Apps With JavaScript course on Udemy
• Electron Courses on Coursera
• Electron Apps
• Getting Started with Electron
• Electron Development
• Master Electron: Desktop Apps with HTML, JavaScript & CSS course on Udemy
• Electron for Desktop Apps: The Complete Developer's Guide course on Udemy
• Electron Fundamentals on Pluralsight
• Electron - platform desktop applications using JavaScript, HTML and CSS. It is based on [Node.js](https://nodejs.org/) and [Chromium](https://www.chromium.org/) and is used by the [Atom editor](https://github.com/atom/atom) and many other [apps](https://electronjs.org/apps).
• JavaScript extensions for VS Code
• Configuring JavaScript libraries in WebStorm
• The OpenJS Foundation
• JavaScript in Visual Studio Code

JavaScript Libraries for Machine Learning

• jQuery UI
• Bridge.NET - to-JavaScript Compiler. Write your application in C# and run on billions of devices.
• Phantomas - based web performance metrics collector and monitoring tool

JavaScript Libraries for Machine Learning

• HTTPie - line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers.
• cURL - line tool for transferring data using various network protocols(HTTP, HTTPS, FTP, FTPS, SCP, SFTP, TFTP, DICT, TELNET, LDAP LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP or SMTPS). cURL is also used in cars, television sets, routers, printers, audio equipment, mobile phones, tablets, settop boxes, media players and is the Internet transfer engine for thousands of software applications in over ten billion installations.
• Authelia - source highly-available authentication server providing single sign-on capability and two-factor authentication to applications running behind [NGINX](https://nginx.org/en/).
• nginx(engine x)
• Proxmox Virtual Environment(VE) - source platform for enterprise virtualization. It inlcudes a built-in web interface that you can easily manage VMs and containers, software-defined storage and networking, high-availability clustering, and multiple out-of-the-box tools on a single solution.
• Wireshark

JavaScript Libraries for Machine Learning

• Electron Fiddle
• Electron Builder
• Selenium - neutral coding interface compatible with all major web browsers(Firefox, Google Chrome and Safari).
• Selenium IDE
• Nativefier
• GitHub Codespaces
• React Starter Kit
• Meteor - simple environment for building modern web applications with JavavScript.
• WebStorm - the-fly error detection, powerful navigation and refactoring for JavaScript, TypeScript, stylesheet languages, and all the most popular frameworks([Angular](https://angular.io/), [React](https://reactjs.org/), [Vue.js](https://vuejs.org/), [Ionic](https://ionicframework.com/), [Apache Cordova](https://cordova.apache.org/), [React Native](https://reactnative.dev/), [Node.js](https://nodejs.org/), [Meteor](https://www.meteor.com/#!), and [Electron](https://www.electronjs.org/)).
• Gatsby
• GraphQL
• Standard
• Quasar - performance VueJS user interfaces in record time. Such as responsive Single Page Apps, SSR Apps, PWAs, Browser extensions, Hybrid Mobile Apps and Electron Apps.
• Express
• Nest - side applications. It uses modern JavaScript, is built with TypeScript (preserves compatibility with pure JavaScript) and combines elements of OOP (Object Oriented Programming), FP (Functional Programming), and FRP (Functional Reactive Programming).
• RxDB - database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps, Progressive Web Apps and NodeJs.

JavaScript Libraries for Machine Learning

• Cython
• AWS SDK for C++
• ReSharper C++
• CLion - platform IDE for C and C++ developers developed by JetBrains.
• Code::Blocks
• Conan
• High Performance Computing (HPC) SDK
• Boost - edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.
• Automake
• Cmake - source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.
• GDB
• GCC - C, Fortran, Ada, Go, and D, as well as libraries for these languages.
• GSL - squares fitting. There are over 1000 functions in total with an extensive test suite.
• OpenGL Extension Wrangler Library (GLEW) - platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.
• Libtool
• Maven
• TAU (Tuning And Analysis Utilities) - based sampling. All C++ language features are supported including templates and namespaces.
• Clang - C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.
• OpenCV - time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
• Libcu++
• Oat++ - efficient web application. It's zero-dependency and easy-portable.
• Infer - C, and C. Infer is written in [OCaml](https://ocaml.org/).
• ANTLR (ANother Tool for Language Recognition)
• Visual Studio - rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.

JavaScript Libraries for Machine Learning

• Java
• The Eclipse Foundation
• Getting Started with Java
• Oracle Java certifications from Oracle University
• Java Tutorial by W3Schools
• Getting Started with Java in Visual Studio Code
• Google Java Style Guide
• AOSP Java Code Style for Contributors
• Chromium Java style guide
• Get Started with OR-Tools for Java
• Getting started with Java Tool Installer task for Azure Pipelines
• Gradle User Manual

JavaScript Libraries for Machine Learning

• Java SE
• JDK Development Tools
• NetBeans
• Elasticsearch
• RxJava - based programs by using observable sequences. It extends the [observer pattern](http://en.wikipedia.org/wiki/Observer_pattern) to support sequences of data/events and adds operators that allow you to compose sequences together declaratively while abstracting away concerns about things like low-level threading, synchronization, thread-safety and concurrent data structures.
• Guava
• Retrofit - safe HTTP client for Android and Java develped by Square.
• Apache Flink - and batch-processing capabilities with elegant and fluent APIs in Java and Scala.
• Fastjson
• libGDX - platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.
• Jenkins - source automation server. Built with Java, it provides over 1700 [plugins](https://plugins.jenkins.io/) to support automating virtually anything, so that humans can actually spend their time doing things machines cannot.
• Redisson - Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, and local cache.
• GraalVM - based languages like Java, Scala, Clojure, Kotlin, and LLVM-based languages such as C and C++.
• Gradle - language software development. From mobile apps to microservices, from small startups to big enterprises, Gradle helps teams build, automate and deliver better software, faster. Write in Java, C++, Python or your language of choice.
• Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
• JaCoCo
• Apache JMeter
• Junit
• Mockito
• SpotBugs
• SpringBoot - powered, production-grade applications and services with absolute minimum fuss. It takes an opinionated view of the Spring platform so that new and existing users can quickly get to the bits they need.
• YourKit

JavaScript Libraries for Machine Learning

• Kotlin
• Kotlin Programming Language Reference
• Kotlin style guide
• Learn the Kotlin programming language
• Get Started with Kotlin on Android
• Kotlin for cross-platform mobile development
• Using Kotlin with Quakus
• Building web applications with Spring Boot and Kotlin
• Migrating build logic from Groovy to Kotlin
• Kotlin Playground: Edit, Run, Share Kotlin Code Online
• An Absolute Beginner's Guide to Kotlin by Treehouse
• Kotlin Courses Online from Udemy
• Learning Kotlin from Codecademy
• Kotlin Bootcamp for Programmers course from Udacity

JavaScript Libraries for Machine Learning

• Android Virtual Device (AVD)
• IntelliJ IDEA

JavaScript Libraries for Machine Learning

• R
• An Introduction to R
• Google's R Style Guide
• R developer's guide to Azure
• Running R on AWS
• RStudio Server Pro for AWS
• Learn R by Codecademy
• Learn R Programming with Online Courses and Lessons by edX
• R Language Courses by Coursera
• Learn R For Data Science by Udacity

JavaScript Libraries for Machine Learning

• VSCode-R - project.org/), including features such as extended syntax highlighting, R language service based on code analysis, interacting with R terminals, viewing data, plots, workspace variables, help pages, managing packages, and working with [R Markdown](https://rmarkdown.rstudio.com/) documents.
• R Debugger
• Shiny
• Rmarkdown
• Plotly
• Metaflow - life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
• Prophet - linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data.
• LightGBM
• MLR
• CatBoost
• Plumber
• Drake - focused pipeline toolkit for reproducibility and high-performance computing.
• DiagrammeR
• Knitr - purpose literate programming engine in R, with lightweight API's designed to give users full control of the output without heavy coding work.
• Broom
• Shiny
• Dash
• R Debugger
• Visual Studio Code
• Code Server
• Tabnine

JavaScript Libraries for Machine Learning

• Ruby
• Ruby Documentation
• Ruby Community
• Ruby Gems
• Ruby courses by Coursera
• Learn Ruby course by Codecademy
• Ruby Glossary
• Ruby in Twenty Minutes Quickstart
• Getting started with a Ruby on Rails application on CircleCI.
• The Ruby Style Guide

JavaScript Libraries for Machine Learning

• RubyMine
• Rails - application framework that includes everything needed to create database-backed web applications according to the [Model-View-Controller (MVC)](https://en.wikipedia.org/wiki/Model-view-controller) pattern. Understanding the MVC pattern is key to understanding Rails. MVC divides your application into three layers: Model, View, and Controller, each with a specific responsibility.
• Active Admin
• Spree - commerce platform for Rails 6 with a modern UX, optional PWA frontend, REST API, GraphQL, several official extensions and 3rd party integrations.
• Sidekiq
• Kaminari
• Brakeman
• fastlane
• Fluentd
• Start building with PHP on Azure
• PHP Documentation
• Prettier for Ruby

JavaScript Libraries for Machine Learning

• PHP - purpose scripting language that is especially suited to web development. Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
• PHP 8
• What's New in PHP 8 - Auth0
• PHP Manual
• MIT's PHP Code Style Guide
• PHP Style Guide
• PHP tutorial by W3Schools
• PHP MySQL & CodeIgniter Course on Udemy

JavaScript Libraries for Machine Learning

• Flutter Gems
• Dart - source, scalable programming language, with robust libraries and runtimes, for building web, server, and mobile apps using the Flutter framework.
• Flutter documentation
• Style Guide for Flutter
• Creating your first Flutter app
• Build and release an Android app using Flutter
• Flutter Tools & techniques
• Dart and Flutter: The Complete Developer's Guide on Udemy
• Creating an Interactive Story with Flutter on Coursera
• Flutter for Beginners course on Pluralsight
• Flutter Online Training Courses on LinkedIn Learning
• The Complete Flutter App Development Bootcamp with Dart by App Brewery
• Adding Firebase to your Flutter app
• Using Firebase and Firestore with Flutter
• Fuchsia Project
• Getting Started with Fuchsia
• Fuchsia Reference
• Contributing to Fuchsia
• Flutter documentation

JavaScript Libraries for Machine Learning

• Firebase - as-a-Service (BaaS) app development platform that provides hosted backend services such as a realtime database, cloud storage, authentication, crash reporting, machine learning, remote configuration, and hosting for your static files.
• FlutterFire - plugins/) that enable Flutter apps to use [Firebase](https://firebase.google.com/) services. You can follow an example that shows how to use these plugins in the [Firebase for Flutter](https://codelabs.developers.google.com/codelabs/flutter-firebase/index.html#0) codelab.
• Appwrite - to-end backend server for Web, Mobile, and Flutter developers that is packaged as a set of Docker containers for easy deployment.
• Fluro

Interfaces

• GitLab's SQL Style Guide
• OracleDB SQL Style Guide Basics
• SQL
• Transact-SQL(T-SQL) - SQL commands.
• Introduction to Transact-SQL
• SQL Tutorial by W3Schools
• Learn SQL Skills Online from Coursera
• SQL Courses Online from Udemy
• SQL Online Training Courses from LinkedIn Learning
• Learn SQL For Free from Codecademy
• Tableau CRM: BI Software and Tools
• Databases on AWS
• Best Practices and Recommendations for SQL Server Clustering in AWS EC2.
• Connecting from Google Kubernetes Engine to a Cloud SQL instance.
• Educational Microsoft Azure SQL resources
• MySQL Certifications
• What is NoSQL?
• SQL vs. NoSQL Databases: What's the Difference?
• Tableau CRM: BI Software and Tools
• Tableau CRM: BI Software and Tools

JavaScript Libraries for Machine Learning

• Cisco Security Certifications
• The Red Hat Certified Specialist in Security: Linux
• Linux Professional Institute LPIC-3 Enterprise Security Certification
• Cybersecurity Training and Courses from IBM Skills
• Cybersecurity Courses and Certifications by Offensive Security
• Citrix Certified Associate – Networking(CCA-N)
• Citrix Certified Professional – Virtualization(CCP-V)
• CCNP Routing and Switching
• Certified Information Security Manager(CISM)
• Wireshark Certified Network Analyst (WCNA)
• Juniper Networks Certification Program Enterprise (JNCP)
• Networking courses and specializations from Coursera
• Network & Security Courses from Udemy
• Network & Security Courses from edX
• Microsoft Certified: Azure Security Engineer Associate
• Google Cloud Certified Professional Cloud Security Engineer

Interfaces

• REST(REpresentational State Transfer)
• JSON Web Token (JWT) - safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is digitally signed using JSON Web Signature (JWS).
• OAuth 2.0 - party applications to access the user account.

Interfaces

• Azure SQL Database - powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management.
• Azure SQL Managed Instance - premises applications to the cloud with very few application and database changes. Managed instance has split compute and storage components.
• Azure Synapse Analytics
• MSSQL for Visual Studio Code
• SQL Server Data Tools (SSDT)
• Bulk Copy Program - line tool that comes with Microsoft SQL Server. BCP, allows you to import and export large amounts of data in and out of SQL Server databases quickly snd efficeiently.
• SQL Server Migration Assistant
• SQL Server Integration Services - level data integration and data transformations solutions. Use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data.
• SQL Server Business Intelligence(BI)
• Tableau - releases/press-release-details/2019/Salesforce-Completes-Acquisition-of-Tableau/default.aspx).
• DataGrip - sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing.
• MySQL - native applications using the world's most popular open source database.
• PostgreSQL - relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.
• Amazon DynamoDB - value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed, multiregion, multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications.
• Apache Cassandra™ - tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.
• Apache HBase™ - source, NoSQL, distributed big data store. It enables random, strictly consistent, real-time access to petabytes of data. HBase is very effective for handling large, sparse datasets. HBase serves as a direct input and output to the Apache MapReduce framework for Hadoop, and works with Apache Phoenix to enable SQL-like queries over HBase tables.
• Hadoop Distributed File System (HDFS) - yarn/hadoop-yarn-site/YARN.html).
• Apache Mesos
• ElasticSearch - capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java.
• Logstash
• Kibana
• Trino - us/azure/architecture/data-guide/relational-data/etl), allow them all to use standard SQL statement, and work with numerous data sources and targets all in the same system.
• Extract, transform, and load (ETL)
• Redis(REmote DIctionary Server) - memory data structure store, used as a database, cache, and message broker. It provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
• FoundationDB - value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. FoundationDB was acquired by [Apple in 2015](https://techcrunch.com/2015/03/24/apple-acquires-durable-database-company-foundationdb/).
• IBM DB2 - empowered capabilities designed to help you manage both structured and unstructured data on premises as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine designed for scalability and flexibility.
• MongoDB - like documents.
• OracleDB - critical data with the highest availability, reliability, and security.
• MariaDB - critical applications.
• SQLite - language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day.
• SQLite Database Browser
• InfluxDB - us/azure/architecture/data-guide/relational-data/etl) or monitoring and alerting purposes, user dashboards, Internet of Things sensor data, and visualizing and exploring the data and more. It also has support for processing data from [Graphite](http://graphiteapp.org/).
• CouchbaseDB - model NoSQL document-oriented database](https://en.wikipedia.org/wiki/Multi-model_database). It creates a key-value store with managed cache for sub-millisecond data operations, with purpose-built indexers for efficient queries and a powerful query engine for executing SQL queries.
• dbWatch - premise, hybrid/cloud database environments.
• Cosmos DB Profiler - time visual debugger allowing a development team to gain valuable insight and perspective into their usage of Cosmos DB database. It identifies over a dozen suspicious behaviors from your application’s interaction with Cosmos DB.
• Adminer
• DbVisualizer
• AppDynamics Database - Volume Production Environment.
• Toad - in expertise. This SQL management tool resolve issues, manage change and promote the highest levels of code quality for both relational and non-relational databases.
• Lepide SQL Server - to-use, graphical user interface.
• Sequel Pro
• Kibana
• RStudio - highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.
• Azure SQL Database - powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management.
• DBeaver
• Apache Spark - in modules for streaming, SQL, machine learning and graph processing.