matplotlib

pypi package · declared by 128 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
scipy	42 of 2,343	0.58
seaborn	15 of 2,343	0.57
pandas	59 of 2,343	0.56
jupyter	10 of 2,343	0.56
scikit-learn	34 of 2,343	0.52
statsmodels	8 of 2,343	0.48
torch	40 of 2,343	0.46
torchvision	21 of 2,343	0.46
scikit-image	8 of 2,343	0.46
hydra-core	8 of 2,343	0.46
numpy	67 of 2,343	0.45
tensorboard	9 of 2,343	0.41
opencv-python	14 of 2,343	0.40
tqdm	36 of 2,343	0.39
datasets	20 of 2,343	0.39
accelerate	19 of 2,343	0.38
transformers	29 of 2,343	0.36
wandb	10 of 2,343	0.36
librosa	8 of 2,343	0.36
peft	10 of 2,343	0.34

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.