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The Jakarta Messaging API (formerly Java Message Service or JMS API) is a Java application programming interface (API) for message-oriented middleware. It provides generic messaging models, able to handle the producer–consumer problem , that can be used to facilitate the sending and receiving of messages between software systems . [ 1 ]
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
The Java Telephony API (JTAPI) was an application programming interface designed to provide telephony call control within the Java programming language. [1] It was designed to provide an interface between a Java-based application and the telephony system, [2] from first-party call control in a consumer device to third-party call control in large distributed call centers.
UnifiedPOS or UPOS is a world wide vendor- and retailer-driven Open Standard's initiative under the National Retail Federation, Association of Retail Technology Standards (NRF-ARTS) to provide vendor-neutral software application interfaces for numerous (as of 2011, thirty-six) point of sale (POS) peripherals (POS printer, cash drawer, magnetic stripe reader, bar code scanner, line displays, etc.).
Airavata: a distributed system software framework to manage simple to composite applications with complex execution and workflow patterns on diverse computational resources; Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge
JavaPOS (short for Java for Point of Sale Devices), is a standard for interfacing point of sale (POS) software, written in Java, with the specialized hardware peripherals typically used to create a point-of-sale system. The advantages are reduced POS terminal costs, platform independence, and reduced administrative costs.
The OSGi Alliance has specified many services. Services are specified by a Java interface. Bundles can implement this interface and register the service with the Service Registry. Clients of the service can find it in the registry, or react to it when it appears or disappears. The table below shows a description of OSGi System Services: [8]
It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.