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In end-user development an artifact is either an application or a complex data object that is created by an end-user without the need to know a general programming language. Artifacts describe automated behavior or control sequences, such as database requests or grammar rules, [1] or user-generated content. Artifacts vary in their maintainability.
Knowledge management, FAIR data, MLOps, Data management, Artifact Evaluation, Package management system, Scientific workflow system, DevOps, Continuous integration, Reproducibility: License: Apache License for version 2.0 and BSD License 3-clause for version 1.0: Website: github.com /ctuning /ck, cknow.io
Modern version control systems allow explicit designation of code owners for particular files or directories (cf. GitHub CODEOWNERS feature). Typically, the code owner is either receiving notifications for all the changes in the owned code or is required to approve each change.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control , bug tracking , software feature requests, task management , continuous integration , and wikis for every project ...
Artifacts are simply an output or collection of files (ex. JAR, WAR, DLLS, RPM etc.) and one of those files may contain metadata (e.g. POM file). Whereas packages are a single archive file in a well-defined format (ex. NuGet) that contain files appropriate for the package type (ex. DLL, PDB). [33]
Sonatype Nexus Repository is a software repository manager, available under both an open-source license and a proprietary license. [1] It can combine repositories for various programming languages, so that a single server can be used as a source for building software.
facebook.github.io /zstd / Zstandard is a lossless data compression algorithm developed by Yann Collet at Facebook . Zstd is the corresponding reference implementation in C , released as open-source software on 31 August 2016.
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.