kubeflow / pipelines
Machine Learning Pipelines for Kubeflow
Why this job: works in the areas we cover, but does not say which job it does
What it does
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 4,264
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.18.0
- Released 15 days ago
- Built with
- Python
- 39% of the code
Is it looked after?
- Contributors
- 13
- Last 90 days
- Issues
- 95% closed
- 251 still open
- Pull requests
- 7,736 merged
- 126 waiting
- Releases
- 190
- 16 in the last year
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| elyra-ai / elyra | 2,005 | 7 days ago | Apache-2.0 | No downloads |
| GoogleCloudPlatform / automlops | 258 | 7 months ago | Apache-2.0 | No downloads |
| terrytangyuan / distributed-ml-patterns | 547 | 10 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 39%
- Go 38%
- TypeScript 21%
- JavaScript 2%
Topics
- kubeflow-pipelines
- mlops
- kubeflow
- machine-learning
- kubernetes
- pipeline
- data-science
Project record
- JobOther AI tools
- StatusListed
- Commits7,915
- Forks2,192
- Watching94
- Stars in 28 days+25
- CreatedMay 12, 2018
- First seen by usNov 7, 2026
- CheckedNov 12, 2026