Sentence Transformers is used in Python projects. Embeddings, Retrieval, and Reranking It has 8 direct runtime dependencies. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
Embeddings, Retrieval, and Reranking
Sentence Transformers declares 8 direct runtime dependencies, each of which is resolved and rendered as an expandable node in the graph:
Beyond its direct dependencies, Sentence Transformers pulls in further packages through its dependency tree. PyDeps walks the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency, expand any node on demand, and understand the full set of code that ships when you install Sentence Transformers.
Sentence Transformers is distributed under the Apache-2.0 license. Use the vulnerability panel, powered by the OSV database, to check whether Sentence Transformers or anything in its dependency tree has known CVEs before you ship, and review the license of every dependency to confirm compatibility with your project.
In the interactive graph each node is a package and each edge is a version constraint. Expand a node to load its subdependencies, switch to the dependents view to see which packages rely on Sentence Transformers, and download Sentence Transformers together with all of its dependencies as wheels for offline or air-gapped installs.