langchain-openai

pypi package · declared by 84 of 2,343 sampled repositories · graph computed 2026-08-24

Counted from the runtime dependencies public repositories declare — not the resolved tree. A transitive dependency is a consequence; a declared one is a choice. Development dependencies are excluded because they repeat across every project in a language regardless of what is being built.

Declared with

ranked by association, not by count

Tools declared alongside this one, ranked by association strength
Declared with	Repositories	vs chance
langchain	46 of 2,343	0.84
langchain-community	32 of 2,343	0.80
langchain-core	33 of 2,343	0.77
langchain-anthropic	16 of 2,343	0.73
langgraph	25 of 2,343	0.72
langchain-google-genai	16 of 2,343	0.70
langchain-ollama	10 of 2,343	0.63
faiss-cpu	8 of 2,343	0.53
streamlit	9 of 2,343	0.46
sentence-transformers	13 of 2,343	0.43
python-dotenv	34 of 2,343	0.40
redis	8 of 2,343	0.33
pandas	19 of 2,343	0.30
uvicorn	24 of 2,343	0.30
openai	22 of 2,343	0.29
pydantic	32 of 2,343	0.28
fastapi	23 of 2,343	0.27
tiktoken	10 of 2,343	0.26
rich	17 of 2,343	0.25
scikit-learn	8 of 2,343	0.22

Every pair above is counted from the same evidence: repo manifest.

Used instead

candidates · shares a neighbourhood and refuses to co-occur

No alternative measured. A pair qualifies only if it shares a neighbourhood and then fails to appear together against an expectation that it would — and almost everything that shares a neighbourhood does appear together. That is the test working, not a gap in the data: similarity alone would list this tool’s closest neighbours as alternatives, and most of them are things it is used with.