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Embeddable JVM-based workflow engine with high availability, fault tolerance, and support for multiple databases. Additional libraries are provided for visualization and REST API.
The main features of nitorcreations/nflow are: Embedded Workflow Libraries, Workflow Frameworks.
Open-source alternatives to nitorcreations/nflow include: spotify/luigi — Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a… camunda/camunda-bpm-platform — Camunda is a business process automation platform and orchestration tool used to model, deploy, and monitor automated… agnostiqhq/covalent — Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute… airbnb/airflow — Airflow is a workflow orchestration platform for authoring, scheduling, and monitoring complex data pipelines as code… alpha-unito/streamflow. aiidateam/aiida-core — The official repository for the AiiDA code.
Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a workflow orchestration engine that organizes tasks into directed acyclic graphs, ensuring that jobs execute in the correct logical order based on their dependencies. By utilizing a centralized scheduler, the system coordinates task execution across distributed environments, tracks global workflow state, and prevents redundant processing by verifying the existence of output targets before triggering any work. The project distinguishes itself through a robust state-tracking mechanism t
Camunda is a business process automation platform and orchestration tool used to model, deploy, and monitor automated workflows and human-centric tasks. It features a BPMN workflow engine for executing processes based on the BPMN 2.0 standard and a DMN decision engine for automating business logic and rule evaluation. The platform is designed for flexibility through an embedded workflow library that allows the engine to be integrated directly into custom applications. It supports multi-tenant workflow management, enabling the secure separation of process definitions and instance data for mult
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.