Package · PyPI
PyPI · v1.1.0 · Apache-2.0
A Fair and Scalable Time Series Analysis Toolkit and benchmark.
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
pip install basictsPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
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.
In the Crest catalog
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
==1.3.3==59.5.0==2.18.0==4.67.1==4.40.1No published news event mentions this package or its repository yet.