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| Declared with | Repositories | vs chance |
|---|---|---|
| scipy | 35 of 2,343 | 0.54 |
| pandas | 49 of 2,343 | 0.52 |
| matplotlib | 34 of 2,343 | 0.52 |
| numpy | 66 of 2,343 | 0.48 |
| torch | 35 of 2,343 | 0.44 |
| seaborn | 9 of 2,343 | 0.44 |
| plotly | 8 of 2,343 | 0.43 |
| einops | 16 of 2,343 | 0.43 |
| datasets | 21 of 2,343 | 0.43 |
| transformers | 32 of 2,343 | 0.42 |
| nltk | 11 of 2,343 | 0.41 |
| tqdm | 34 of 2,343 | 0.40 |
| sentencepiece | 11 of 2,343 | 0.37 |
| pyarrow | 9 of 2,343 | 0.37 |
| peft | 10 of 2,343 | 0.36 |
| sentence-transformers | 13 of 2,343 | 0.36 |
| boto3 | 9 of 2,343 | 0.35 |
| openai | 34 of 2,343 | 0.34 |
| accelerate | 15 of 2,343 | 0.34 |
| huggingface-hub | 16 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-occurNo 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.