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Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code". While other "configuration as code" workflow platforms exist using markup languages like XML, using Python allows developers to import libraries and classes to help them create their workflows.
CK has an integrated cross-platform package manager with Python scripts, JSON API and JSON meta-description to automatically rebuild software environment on a user machine required to run a given research workflow. [17]
StackStorm (abbreviation: ST2) is an open source event-driven platform for runbook automation. It supports the Infrastructure as Code (IaC) approach to DevOps automation and has been compared with SaltStack and Ansible, [2] it primarily focuses on doing things or running workflows based on events.
Salt (sometimes referred to as SaltStack) is a Python-based, open-source software for event-driven IT automation, remote task execution, and configuration management. Supporting the " infrastructure as code " approach to data center system and network deployment and management, configuration automation, SecOps orchestration, vulnerability ...
Bazel is extensible with the Starlark programming language. [13] Starlark is an embedded language whose syntax is a subset of the Python syntax. However, it doesn't implement many of Python's language features, such as the ability to access the file I/O, in order to avoid extensions that could create side-effects or create build outputs not known to the build system itself.
In addition to providing a script for automated testing, Gherkin's natural language syntax is designed to provide simple documentation of the code under test. [25] Gherkin currently supports keywords in dozens of languages. [25] [26] [7] [8]
"Verify mode" (also called dry run) refers to having an ability to determine whether a node is conformant with a guarantee of not modifying it, and typically involves the exclusive use of an internal language supporting read-only mode for all potentially system-modifying operations.
RhodeCode is written in Python using the Pylons Framework. It is run as a standalone hosted application on a dedicated server (or in a private cloud) to manage multiple repositories within an organization. RhodeCode CE is free, with an unlimited number of users and repositories. RhodeCode EE is for-fee and builds enterprise integrations on top ...