pandas

pypi package · declared by 219 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
matplotlib	59 of 2,343	0.56
numpy	122 of 2,343	0.56
scikit-learn	49 of 2,343	0.52
pyarrow	23 of 2,343	0.50
statsmodels	12 of 2,343	0.50
scipy	46 of 2,343	0.48
tqdm	65 of 2,343	0.47
jupyter	10 of 2,343	0.46
seaborn	14 of 2,343	0.44
sentence-transformers	24 of 2,343	0.39
datasets	30 of 2,343	0.39
torch	47 of 2,343	0.39
openpyxl	16 of 2,343	0.38
cloudpickle	8 of 2,343	0.37
plotly	10 of 2,343	0.37
accelerate	25 of 2,343	0.34
networkx	17 of 2,343	0.34
tiktoken	29 of 2,343	0.34
transformers	39 of 2,343	0.33
langchain-community	15 of 2,343	0.33

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.