claimed-framework/claimed
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
This tool helps machine learning engineers and data scientists streamline the process of taking their Jupyter notebooks, Python, or R scripts and deploying them as production-ready AI components. It takes your code, automatically packages it into container images with all dependencies, and prepares it for execution on Kubernetes or Kubeflow Pipeline clusters. This is for machine learning engineers, data scientists, and MLOps specialists who need to rapidly move their experimental models into robust, scalable production environments.
2,316 stars. Actively maintained with 9 commits in the last 30 days.
Use this if you are an MLOps specialist or data scientist who needs to quickly deploy AI models or data processing scripts from various formats (notebooks, Python, R) into a scalable, containerized production environment with automated dependency management and grid compute capabilities.
Not ideal if you are an individual data scientist only working on local analysis and not concerned with deploying models to large-scale, distributed production systems.
Stars
2,316
Forks
3,961
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 19, 2026
Commits (30d)
9
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