IoT-Guide

IoT Guide
https://github.com/mikeroyal/IoT-Guide

Last synced: 7 days ago
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Java Learning Resources
- In-memory data grids
Java Tools & Frameworks
- In-memory data grids
  - Apache Spark - scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
  - DBeaver - platform database tool for developers, SQL programmers, database administrators and analysts. Supports any database which has JDBC driver (which basically means - ANY database). EE version also supports non-JDBC datasources (MongoDB, Cassandra, Redis, DynamoDB, etc).
  - Java SE
  - JDK Development Tools
  - IntelliJ IDEA
  - 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
  - Junit
  - Mockito
  - SpotBugs
  - YourKit
  - Java Design Patterns
  - Elasticsearch
  - okhttp
  - LeakCanary
  - 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.
  - NetBeans
Kubernetes Learning Resources
- Interfaces
Learning Resources
- Interfaces
ML frameworks & applications
- Interfaces
  - Amazon SageMaker
  - Open Neural Network Exchange(ONNX) - in operators and standard data types.
  - Anaconda
  - NVIDIA cuDNN - accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).
  - Jupyter Notebook - source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.
  - Apache PredictionIO
  - BigDL
  - Apache Spark™ MLflow
  - MLflow Tracking
  - MLflow Projects
  - MLflow Models
  - Model Registry
  - 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.
  - Chainer - based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
  - Tensorman
  - 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.
  - PlaidML
  - OpenCV - time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
  - Caffe
  - Theano - dimensional arrays efficiently including tight integration with NumPy.
  - nGraph - of-use to AI developers.
  - Apache Spark Connector for SQL Server and Azure SQL - performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.
  - Cluster Manager for Apache Kafka(CMAK)
  - Numba - aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
  - cuML - learn.
  - AutoGluon - accuracy deep learning models on tabular, image, and text data.
  - TensorFlow - to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Networking Tools & Concepts
- 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)
- Wireshark
- cURL Fuzzer
- DoH - alone application for DoH (DNS-over-HTTPS) name resolves and lookups.
- HTTPStat
- Wuzz
- Websocat - line client for WebSockets, like netcat (or curl) for ws:// with advanced socat-like functions.
- 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.
Network Protocols
- Interfaces
  - OAuth 2.0 - party applications to access the user account.
Node.js Learning Resources
- In-memory data grids
Node.js Tools
- In-memory data grids
  - NPM
  - 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.
  - Express
  - Meteor - simple environment for building modern web applications with JavavScript.
  - 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.
  - NestJS
  - Strapi
  - Standard
  - Hexo
  - node-gyp - platform command-line tool written in Node.js for compiling native addon modules for Node.js. It contains a vendored copy of the gyp-next project that was previously used by the Chromium team, extended to support the development of Node.js native addons.
  - Mocha
  - AVA
  - egg
  - mysqljs
  - axios
Online ML Learning Resources
- In-memory data grids
  - openHAB - platform software with the aim to integrate all kinds of Smart Home technologies, devices, etc.
  - Eclipse SmartHome - to-use solution. It offers a large set of features to choose from and leaves enough possibilities to design a Smart Home solution specific to your expectations. Its modular design brings millions of combinations and proves to be easily extensible by custom parts.
  - The Thing System
  - Open Source Robotics Foundation
  - Hazelcast - memory data grid based on Java.
  - Home Assistant
- Interfaces
  - Machine Learning by Stanford University from Coursera
  - Machine Learning Courses Online from Udemy
  - Learn Machine Learning with Online Courses and Classes from edX
  - DBus - process communication, and remote procedure call mechanism that allows communication between multiple processes running concurrently on the same machine.
  - Constrained Application Protocol (CoAP) - to-machine (M2M) applications such as smart energy and building automation."
  - Manjaro Linux ARM
  - Arch Linux ARM
  - Ubuntu MATE for Raspberry Pi
  - Ubuntu Core on a Raspberry Pi
  - Ubuntu Server for ARM
  - Debian
  - openSUSE
  - SUSE
  - Kali Linux for the Raspberry Pi
  - RetroArch
  - RetroPie
  - LibreELEC
  - HeliOS
  - Simba
  - Trampoline
  - VxWorks - leading real-time operating systems (RTOS) for building embedded devices and systems for more than 30 years.
  - Zephyr OS - oriented RTOS with a small-footprint kernel designed for use on resource-constrained and embedded systems. Zephyr has a small-foorprint Kernel focusing on embedded devices compatible with x86, ARM, RISC-V, Xtensa and [others](https://docs.zephyrproject.org/latest/boards/index.html).
  - FreeRTOS - time operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage.
  - Contiki-os - constrained systems with a focus on low-power wireless Internet of Things devices.
  - Red Hat® JBoss® Middleware - term maintenance.
  - IoTSyS
  - Raspberry Pi OS
  - LWM2M
  - Fedora ARM
  - DuinOS
  - OpenIoT - connected objects, while at the same time generating and processing important business/applications events.
  - OpenRemote
  - Ubuntu Core on a Raspberry Pi
  - Debian

Programming Languages

Python 25 C++ 15 Rust 14 Swift 8 Java 6 C 6 Go 6 JavaScript 5 Shell 4 Scala 3

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Data

Tools

Indexes

Applications

Experiments

Awesome

IoT-Guide

Java Learning Resources

In-memory data grids

Java Tools & Frameworks

In-memory data grids

Kubernetes Learning Resources

Interfaces

Learning Resources

Interfaces

ML frameworks & applications

Interfaces

Networking Tools & Concepts

Network Protocols

Interfaces

Node.js Learning Resources

In-memory data grids

Node.js Tools

In-memory data grids

Online ML Learning Resources

In-memory data grids

Interfaces