numpy

pypi package · declared by 384 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
pandas122 of 2,3430.56
tqdm110 of 2,3430.52
scipy76 of 2,3430.52
torch97 of 2,3430.51
scikit-learn66 of 2,3430.48
matplotlib67 of 2,3430.45
transformers81 of 2,3430.44
torchvision42 of 2,3430.42
huggingface-hub52 of 2,3430.41
einops37 of 2,3430.41
pillow81 of 2,3430.41
opencv-python32 of 2,3430.40
safetensors25 of 2,3430.40
pyarrow24 of 2,3430.38
accelerate43 of 2,3430.37
numba11 of 2,3430.36
statsmodels11 of 2,3430.36
seaborn16 of 2,3430.36
datasets41 of 2,3430.35
networkx27 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.