Package · PyPI

easy-cs-rec-custommodel

PyPI · v0.9.2 · Licence not reported

An easy-to-use framework for Recommendation

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 easy-cs-rec-custommodel

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.29
DerivedRelease cadence and recency, 0 to 1
Releases per year
522
3 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
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30 days
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90 days
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1 year
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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
v0.9.2
3 versions
First published
NOV 11, 2025
Last release
NOV 13, 2025
12mo ago
Licence
Not reported

Repository

In the Crest catalog

alibaba/EasyRec

A framework for large scale recommendation algorithms.

Stars
2.4K
Forks
385
Language
Python
Last push
6mo ago
Last release
10mo ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.9.2

Runtime 11

  • PyYAMLAny version
  • eas_prediction==0.24
  • futureAny version
  • matplotlibAny version
  • oss2Any version
  • pandasAny version
  • psutilAny version
  • pyarrowAny version
  • pyodpsAny version
  • scikit-learnAny version
  • xlrd>=0.9.0

Related news

No published news event mentions this package or its repository yet.