kubeflow / sdk
Universal Python SDK to run AI workloads on Kubernetes
Why this job: works in the areas we cover, but does not say which job it does
What it does
The Kubeflow SDK is a set of unified Pythonic APIs that let you run any AI workload at any scale – without the need to learn Kubernetes. It provides simple and consistent APIs across the Kubeflow ecosystem, enabling users to focus on building AI applications rather than managing complex infrastructure.
Get started
pip install -U kubeflow- Maintenance
- Active
- Last commit 12 days ago
- Stars
- 159
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.5.0
- Released 3 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 17
- Last 90 days
- Issues
- 52% closed
- 139 still open
- Pull requests
- 298 merged
- 183 waiting
- Releases
- 11
- 8 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
- Makefile 1%
Topics
- ai
- distributed
- jax
- kubeflow
- llm
- machine-learning
- python
- pytorch
- fine-tuning
- huggingface
- hyperparameter-optimization
- mlops
Project record
- JobOther AI tools
- StatusListed
- Commits438
- Forks323
- Watching11
- Stars in 28 days+4
- CreatedApr 23, 2025
- First seen by usNov 7, 2026
- CheckedNov 12, 2026