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Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. [6] It was first released in 2013 and is developed by Docker, Inc. [7]
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate , serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [ 4 ]
The above example demonstrate the simplicity behind the API design, which makes it similar to popular Python based machine learning kit (scikit-learn). Our objective is to simplify for the user the API and the main machine learning functions such as Classify and Predict.
C/C++, Python, R, Java, Go, Rust, Node.js, Wasm, ODBC, ADBC, and more [2] Open source (MIT License) DuckDB is an in-process database system designed for high performance for analytical query workloads offers client APIs for a wide range of languages. Exasol: Exasol AG 2000 JDBC, ODBC, ADO.NET, Python, SQL, R, Go, Rest API [3] Proprietary
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.
Docker, a project automating the deployment of applications inside software containers; Apache Mesos, a large-scale cluster management platform based on container isolation; Operating system-level virtualization implementations; Proxmox Virtual Environment, an open-source server virtualization management platform supporting LXC containers and KVM
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [36] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [37] [38] [39] [40]
PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.