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Sentence Transformers

Library · Catalog tech@1

Embeddings for sentences and text.

Categories
Matched as
  • sbert
  • sentence transformers
  • sentence-transformers

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. Sentence Transformers has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.19,144 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
Collecting
Download growth needs Crest’s daily observations of its official models 30 days apart.278M downloads in 30 days · 27 official models
News
Collecting
News counts once there are 3 events across the last 60 days; it has 1.0 in the last 30 days · 1 in the 30 before

Adoption by registry

The growth of Sentence Transformers’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of Sentence Transformers’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
0published events that mention it
Events · 30 days
0published events that mention it
Previous 30 days
1events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

Members 7repositories tagged with one of its aliases, most-starred first

  • OpenBMB/UltraRAG

    A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

    Tagged sentence-transformersPython

    5.7K

  • embeddings-benchmark/mteb

    MTEB: State-of-the-art evaluation of embeddings across languages and modalities

    Tagged sentence-transformersPython

    3.4K

  • ddangelov/Top2Vec

    Top2Vec learns jointly embedded topic, document and word vectors.

    Tagged sentence-transformersPython

    3.1K

  • beir-cellar/beir

    A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

    Tagged sentence-transformersPython

    2.3K

  • MinishLab/model2vec

    Fast State-of-the-Art Static Embeddings

    Tagged sentence-transformersPython

    2.2K

  • Minima-AI-Inc/minima

    On-premises conversational RAG with configurable containers

    Tagged sentence-transformersPython

    1K

  • octimot/StoryToolkitAI

    An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models

    Tagged sentence-transformersPython

    1K

Packages

“Is” packages are Sentence Transformers itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

  • sentence-transformers

    Embeddings, Retrieval, and Reranking

    Listed in the catalogPyPI

    Not published by PyPI

Ecosystem 42packages that depend on it, most-adopted first

  • memos

    A package for Pensieve (previously known as memos)

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • ms-agent

    MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • mseep-kg-gen

    Extract a knowledge graph using LLMs from any text or messages array

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • mteb

    Massive Text Embedding Benchmark

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • nebula-ai

    AI-Powered Ethical Hacking Assistant

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • open-webui

    Open WebUI

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • opencompass

    A comprehensive toolkit for large model evaluation

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • pensiev

    A package for Pensieve (previously known as memos)

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • pytorch-widedeep

    Combine tabular data with text and images using Wide and Deep models in Pytorch

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • ragatouille

    Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • ragxplorer

    A open-source tool to to visualise your RAG documents 🔮.

    Depends on sentence-transformersPyPI

    Not published by PyPI
  • setfit

    Efficient few-shot learning with Sentence Transformers

    Depends on sentence-transformersPyPI

    Not published by PyPI

Models

Open models on Hugging Face. Official models are published under the prefixes the catalog declares; derivatives declare an official model as their base, and are never credited by name alone. Downloads are the Hub’s rolling 30-day count. All of them in the model list

Official 27the 12 most downloaded

Derivatives 7models in the catalog that declare an official model as their base

Latest news the 2 latest events that mention it