awesome-ml-pipelines and awesome-mlops-kubernetes
These two tools are complements, as awesome-mlops/awesome-ml-pipelines focuses on general machine learning and data science workflows, while awesome-mlops/awesome-mlops-kubernetes specifically curates tools for deploying and managing those machine learning pipelines within a Kubernetes environment.
About awesome-ml-pipelines
awesome-mlops/awesome-ml-pipelines
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
About awesome-mlops-kubernetes
awesome-mlops/awesome-mlops-kubernetes
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work