scikit-learn

pypi package · declared by 119 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 withRepositoriesvs chance
scipy35 of 2,3430.54
pandas49 of 2,3430.52
matplotlib34 of 2,3430.52
numpy66 of 2,3430.48
torch35 of 2,3430.44
seaborn9 of 2,3430.44
plotly8 of 2,3430.43
einops16 of 2,3430.43
datasets21 of 2,3430.43
transformers32 of 2,3430.42
nltk11 of 2,3430.41
tqdm34 of 2,3430.40
sentencepiece11 of 2,3430.37
pyarrow9 of 2,3430.37
peft10 of 2,3430.36
sentence-transformers13 of 2,3430.36
boto39 of 2,3430.35
openai34 of 2,3430.34
accelerate15 of 2,3430.34
huggingface-hub16 of 2,3430.34

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.