Package · PyPI

top2vec

PyPI · v1.0.36 · BSD

Top2Vec learns jointly embedded topic, document and word vectors.

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 top2vec

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.27
DerivedRelease cadence and recency, 0 to 1
Releases per year
8.0
37 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
v1.0.36
37 versions
First published
MAR 22, 2020
Last release
NOV 14, 2024
24mo ago
Licence
BSD

Repository

In the Crest catalog

ddangelov/Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

Stars
3.1K
Forks
372
Language
Python
Last push
24mo ago
Last release
3y ago

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

Dependencies latest version · v1.0.36

Runtime 9

  • gensim>=4.0.0
  • hdbscan>=0.8.27
  • numpy>=1.20.0
  • pandasAny version
  • scikit-learn>=1.2.0
  • tqdmAny version
  • transformersAny version
  • umap-learn>=0.5.1
  • wordcloudAny version

Related news

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