Repository | |
---|---|
Written in | Ruby |
Operating system | Cross-platform |
Available in | English, Italian, Brazilian Portuguese [1] |
Type | API |
License | GPL version 3 |
Website | thingspeak.com and github |
ThingSpeak is an open-source software written in Ruby which allows users to communicate with internet enabled devices. [2] It facilitates data access, retrieval and logging of data by providing an API to both the devices and social network websites. ThingSpeak was originally launched by ioBridge in 2010 as a service in support of IoT applications. [3]
ThingSpeak has integrated support from the numerical computing software MATLAB from MathWorks, [4] allowing ThingSpeak users to analyze and visualize uploaded data using MATLAB without requiring the purchase of a MATLAB license from MathWorks. [5]
ThingSpeak has been the subject of articles in specialized "Maker" websites like Instructables, [6] Codeproject, [7] and Channel 9. [8]
A fourth-generation programming language (4GL) is a high-level computer programming language that belongs to a class of languages envisioned as an advancement upon third-generation programming languages (3GL). Each of the programming language generations aims to provide a higher level of abstraction of the internal computer hardware details, making the language more programmer-friendly, powerful, and versatile. While the definition of 4GL has changed over time, it can be typified by operating more with large collections of information at once rather than focusing on just bits and bytes. Languages claimed to be 4GL may include support for database management, report generation, mathematical optimization, GUI development, or web development. Some researchers state that 4GLs are a subset of domain-specific languages.
MATLAB is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
GNU Octave is a scientific programming language for scientific computing and numerical computation. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB. It may also be used as a batch-oriented language. As part of the GNU Project, it is free software under the terms of the GNU General Public License.
Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language. It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others. A toolbox, MapleSim, adds functionality for multidomain physical modeling and code generation.
Scilab is a free and open-source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling, simulation of explicit and implicit dynamical systems and symbolic manipulations.
Laboratory Virtual Instrument Engineering Workbench (LabVIEW) is a system-design platform and development environment for a visual programming language developed by National Instruments.
MathWorks is an American privately held corporation that specializes in mathematical computing software. Its major products include MATLAB and Simulink, which support data analysis and simulation.
SageMath is a computer algebra system (CAS) with features covering many aspects of mathematics, including algebra, combinatorics, graph theory, group theory, differentiable manifolds, numerical analysis, number theory, calculus and statistics.
The Internet of things (IoT) describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. The Internet of things encompasses electronics, communication and computer science engineering. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network, and be individually addressable.
Microsoft Azure, often referred to as Azure, is a cloud computing platform run by Microsoft. It offers access, management, and the development of applications and services through global data centers. It also provides a range of capabilities, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Microsoft Azure supports many programming languages, tools, and frameworks, including Microsoft-specific and third-party software and systems.
Intel oneAPI Math Kernel Library is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS, LAPACK, ScaLAPACK, sparse solvers, fast Fourier transforms, and vector math.
Linaro is an engineering organization that works on free and open-source software such as the Linux kernel, the GNU Compiler Collection (GCC), QEMU, power management, graphics and multimedia interfaces for the ARM family of instruction sets and implementations thereof as well as for the Heterogeneous System Architecture (HSA). The company provides a collaborative engineering forum for companies to share engineering resources and funding to solve common problems on ARM software. In addition to Linaro's collaborative engineering forum, Linaro also works with companies on a one-to-one basis through its Services division.
The following table compares notable software frameworks, libraries and computer programs for deep learning.
The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.
open Home Automation Bus (openHAB) is an open source home automation software written in Java. It is deployed on premises and connects to devices and services from different vendors. As of 2019, close to 300 bindings are available as OSGi modules. Actions, such as switching on lights, are triggered by rules, voice commands, or controls on the openHAB user interface. The openHAB project started in 2010. In 2013, the core functionality became an official project of the Eclipse Foundation under the name Eclipse SmartHome. openHAB is based on Eclipse SmartHome and remains the project for the development of bindings. According to Black Duck Open Hub, it is developed by one of the largest open-source teams in the world. It also has an active user community.
Home Assistant is free and open-source software for home automation designed to be a central control system for smart home devices with a focus on local control and privacy. It can be accessed through a web-based user interface, by using companion apps for Android and iOS, or by voice commands via a supported virtual assistant such as Google Assistant or Amazon Alexa.
Apache IoTDB is a column-oriented open-source, time-series database (TSDB) management system written in Java. It has both edge and cloud versions, provides an optimized columnar file format for efficient time-series data storage, and TSDB with high ingestion rate, low latency queries and data analysis support. It is specially optimized for time-series oriented operations like aggregations query, downsampling and sub-sequence similarity search. The name IoTDB comes from Internet of Things (IoT) Database, which means it was designed as an IoT-native TSDB that resolves the pain points of the typical IoT scenarios, including massive data generation, high frequency sampling, out-of-order data, specific analytics requirements, high costs of storage and operation & maintenance, low computational power of IoT devices.