Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
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Updated
Jun 1, 2024 - Python
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Gitlab CI Dashboard will provide you a global overview of all pipelines, schedules and their status within a single group
high performance dotnet core socket tcp/udp communication components
Event-driven Automation Framework for Kubernetes
Concourse is a container-based continuous thing-doer written in Go.
Extraction pipeline and analysis tools for Aperture Masking Interferometry mode of the last generation of instruments (ground-based and space).
Workflow Engine for Kubernetes
🧙 Build, run, and manage data pipelines for integrating and transforming data.
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TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Open source security data pipelines.
DeBasher: a Flow-Based Programming Extension for Bash
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Tekton library for EDP pipelines. EDP Interceptor that enriches payload from VCS with EDP entities
Turns Data and AI algorithms into production-ready web applications in no time.
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