run-house / kubetorch
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
Why this job: topics: observability, evaluation
What it does
Kubetorch lets you programmatically build, iterate, and deploy ML applications on Kubernetes at any scale - directly from Python.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 1,229
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.0
- Released 8 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 97% closed
- 2 still open
- Pull requests
- 1,879 merged
- 23 waiting
- Releases
- 53
- 10 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Netflix / metaflow | 10,341 | 3 days ago | Apache-2.0 | No downloads |
| graphsignal / graphsignal | 276 | 7 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 99%
- Shell <1%
- Dockerfile <1%
- Jinja <1%
Topics
- artificial-intelligence
- aws
- data-science
- gcp
- machine-learning
- python
- pytorch
- ray
- serverless
- distributed
- infrastructure
- observability
Project record
- JobEvals and observability
- StatusListed
- Commits2,581
- Forks61
- Watching6
- Stars in 28 days+1
- CreatedMay 10, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026