{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"Provides converters and base data manipulation functions for the ArviZ Bayesian analysis ecosystem, handling posterior data storage and transformation.","skillfed_tags":["bayesian-inference","data-conversion","posterior-analysis"],"use_cases":["Convert posterior samples from different Bayesian samplers into a standardized xarray-based format for downstream analysis","Store and retrieve multidimensional inference data efficiently using xarray structures","Build custom Bayesian analysis pipelines that need a common data layer across different modeling frameworks","Integrate Bayesian model outputs into reproducible research workflows with standardized metadata"],"what_it_does":"arviz-base is the foundation layer of the ArviZ ecosystem, a modular Python library for exploratory analysis of Bayesian models. This subpackage specifically handles data converters and base manipulation\u2014the infrastructure for transforming posterior samples from different modeling tools into a common format and performing core data operations. It depends on numpy, xarray, typing-extensions, and lazy_loader to provide efficient storage and access to multidimensional inference data.\n\nThe package is designed as part of a larger ecosystem and targets researchers and practitioners working with Bayesian inference. It requires Python 3.12 or later and is actively maintained by the ArviZ community under NumFOCUS.","worth_installing":"Yes, if you are working within the ArviZ ecosystem or need to standardize posterior data from multiple Bayesian modeling frameworks. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Verify first whether you need the full ecosystem or can use this subpackage independently."},"id":"arviz-base","links":{"html":"https://skillfed.io/packages/arviz-base","md":"https://skillfed.io/packages/arviz-base.md","pypi":"https://pypi.org/project/arviz-base/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"arviz-base","python_support":"supports_current","summary":"Base ArviZ features and converters."},"popularity":{"monthly_downloads":607412,"position":5785,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.3.0"}