torch

pypi package · declared by 176 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
torchvision	56 of 2,343	0.75
transformers	79 of 2,343	0.67
torchaudio	22 of 2,343	0.58
accelerate	43 of 2,343	0.57
einops	31 of 2,343	0.54
peft	25 of 2,343	0.54
safetensors	22 of 2,343	0.53
sentencepiece	26 of 2,343	0.53
tqdm	63 of 2,343	0.51
datasets	37 of 2,343	0.51
numpy	97 of 2,343	0.51
wandb	21 of 2,343	0.51
huggingface-hub	38 of 2,343	0.50
tensorboard	15 of 2,343	0.49
diffusers	15 of 2,343	0.48
omegaconf	13 of 2,343	0.48
opencv-python	23 of 2,343	0.48
matplotlib	40 of 2,343	0.46
bitsandbytes	14 of 2,343	0.45
scikit-learn	35 of 2,343	0.44

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.