Package · PyPI
ml-goodput-measurement
PyPI · v0.2.3 · Licence not reported
Package to monitor Goodput, Badput and other metrics of ML workloads.
Not filed under any category yet: no assignment reached confidence 0.5.
Technologies
Install
pip install ml-goodput-measurementAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.74
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 8.1
- 20 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.2.3
- 20 versions
- First published
- FEB 27, 2024
- Last release
- AUG 17, 2026
- 2mo ago
- Licence
- Not reported
Repository
Not in the Crest catalog
ai-hypercomputer/ml-goodput-measurement (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v0.2.3
Runtime 9
- google-api-core
>=2.24.1 - google-cloud-logging
>=3.5.0 - google-cloud-monitoring
>=2.20.0 - google-cloud-storage
>=2.0.0 - numpyAny version
- requestsAny version
- scipyAny version
- tensorboardxAny version
- urllib3Any version
Related packages
No related package is in the catalog yet.
Related news
No published news event mentions this package or its repository yet.