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Tool profile

run-house/kubetorch

stable

Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

artificial-intelligenceawsdata-processingdata-sciencedistributedevaluationgcpinference
Velocity score
0.05/ 10
[STARS]
1.2k
[FORKS]
58
[CONTRIBUTORS]
19
[LAST_COMMIT]
2mo ago
OPEN_ON_GITHUB
Velocity class: stable
Is run-house/kubetorch still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
505/ 1000
inference · run-house/kubetorch
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
560
[INSTALL_VEL]
498
[ACTIVITY]
250
[COMMUNITY_SIGNAL]
762

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout