Package · PyPI
benchpots
PyPI · v1 · BSD License
A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install benchpotsAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.47
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 5.7
- 11 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
- v1
- 11 versions
- First published
- MAY 22, 2024
- Last release
- APR 27, 2026
- 6mo ago
- Licence
- BSD License
Repository
Not in the Crest catalog
wenjiedu/benchpots (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 · v1
Runtime 8
- h5pyAny version
- nonlinear_benchmarks
>=1.0.1 - numpyAny version
- pandasAny version
- pygrinder
>=0.7 - scikit-learnAny version
- torch
>=1.10 - tsdb
>=0.7.1
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Related news
No published news event mentions this package or its repository yet.