sentence-transformers

PyPI v5.4.0

5,394,060 weekly downloads · Apache-2.0 · 8 Dependencies

Recently published

Source data as of:

Summary

Embeddings, Retrieval, and Reranking

Install pip install sentence-transformers

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 5,394,060 Source: PyPI (Python Package Index)
Releases 75 Last release: 2026-04-09 Source: PyPI (Python Package Index)
Dependencies 8 Source: PyPI (Python Package Index)

Description

Embeddings, Retrieval, and Reranking

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
sentence-transformers
Registry
PyPI
Version
5.4.0
Weekly downloads
5,394,060 (weekly)
License
Apache-2.0
Dependencies
8: transformers, huggingface-hub, torch, numpy, scikit-learn, scipy, typing_extensions, tqdm
Releases
75
Last release
2026-04-09
First published
2019-07-25
Keywords
Transformer Networks, BERT, XLNet, sentence embedding, PyTorch, NLP, deep learning
Repository
https://github.com/huggingface/sentence-transformers/

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Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 48.4 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 9.0 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 41.0 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources

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Same license

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Shared keyword

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