pypi:scikit-learnThis dossier links the stable identity pypi:scikit-learn to 6 exact observed versions across 13 public repositories.
A package identity or provider interface in published code does not prove configuration, an account, procurement, data transfer or an API call.
ecosystem:name + exact version + evidence pathPublication age and licenses come from deps.dev metadata. They are context—not a maintenance, legal or portability verdict.
02 Oct 202410 Jan 202506 Jun 202518 Jul 202509 Sept 202510 Dec 2025landeshauptstadt-muenchen/f-13-rag4 Occurrencesuba-ki-lab/photovoltaic_systems2 Occurrencesuba-ki-lab/strahlenexposition2 Occurrencesbbsr_ida_public/base_projects/dockerized_weaviate1 Occurrencebbsr_ida_public/llm_workshop1 Occurrenceenergieautarkes-wohnquartier/backend1 Occurrenceuba-ki-lab/gamma_flow1 Occurrenceuba-ki-lab/gsa-extraction1 Occurrenceuba-ki-lab/llm-questionnaire-benchmarking-framework1 Occurrenceuba-ki-lab/llm-testframework1 Occurrenceuba-ki-lab/objection-management1 Occurrenceuba-ki-lab/ressource-efficient-computer-vision1 Occurrenceuba-ki-lab/retrieval-evaluation1 Occurrencebbsr_ida_public/base_projects/dockerized_weaviatedocker/requirements.txtenergieautarkes-wohnquartier/backendpoetry.locklandeshauptstadt-muenchen/f-13-ragrequirements-dev.txtlandeshauptstadt-muenchen/f-13-ragrequirements-gpu.txtlandeshauptstadt-muenchen/f-13-ragrequirements-testing.txtlandeshauptstadt-muenchen/f-13-ragrequirements.txtuba-ki-lab/gamma_flowrequirements.txtuba-ki-lab/gsa-extractionuv.lockuba-ki-lab/llm-questionnaire-benchmarking-frameworkuv.lockuba-ki-lab/llm-testframeworkuv.lockbbsr_ida_public/llm_workshopdocker/requirements.txtuba-ki-lab/objection-managementuv.lockuba-ki-lab/photovoltaic_systemsrequirements.txtuba-ki-lab/photovoltaic_systemssbom.jsonuba-ki-lab/ressource-efficient-computer-visionuv.lockuba-ki-lab/retrieval-evaluationuv.lockuba-ki-lab/strahlenexpositionpoetry.lockuba-ki-lab/strahlenexpositionsbom.jsonOnly exact npm and PyPI tuples are enriched. Reported SPDX expressions are metadata; no compatibility, obligation or legal conclusion is inferred.
Retrieval, parsing, matching and publishing use no generative AI model.i6eal (2026): scikit-learn — exact AI dependency evidence dossier, data state 19 Jul 2026. https://i6eal.de/en/tools/ki-abhaengigkeitsatlas/paket/scikit-learn-ab0941d9/
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