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Kedro is a data science pipeline framework and production toolbox designed to build reproducible, modular workflows using software engineering best practices. It functions as a data engineering orchestrator and catalog manager, bridging the gap between interactive analysis and maintainable production pipelines. The framework distinguishes itself by using a data catalog to decouple data access from processing logic and providing tools to transition analysis from interactive notebooks into structured workflows. It includes a workflow visualization tool that generates visual maps of data pipelin
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
The main features of argoproj-labs/hera are: GitOps And Continuous Delivery, Workflow Frameworks.
Projects with overlapping indexed features include: quantumblacklabs/kedro — Kedro is a data science pipeline framework and production toolbox designed to build reproducible, modular workflows… couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… adinhodovic/argo-cd-mixin. aiidateam/aiida-core — The official repository for the AiiDA code. airbnb/airflow — Airflow is a workflow orchestration platform for authoring, scheduling, and monitoring complex data pipelines as code… agnostiqhq/covalent — Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute…