{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"Hist provides a user-friendly interface for creating, filling, and analyzing histograms, built on top of boost-histogram with support for named axes, advanced indexing, and integrated plotting.","skillfed_tags":["histogramming","data-analysis","scientific-computing"],"use_cases":["Exploratory data analysis: quickly bin and visualize distributions with named axes and automatic plotting.","Physics analysis: work with multidimensional histograms using named axes and UHI+ indexing for event selection.","Statistical summaries: compute density arrays, project histograms to lower dimensions, or convert to profile histograms.","Stacked comparisons: group related histograms and plot them together with automatic legend generation.","Interactive notebooks: leverage built-in Jupyter representation and quick plotting for iterative analysis."],"what_it_does":"Hist is a front-end library for boost-histogram that simplifies histogram creation and manipulation for data analysis workflows. It extends boost-histogram with named axes, simpler construction syntax, and convenience methods for common operations like density computation, projection, and sorting. The library is designed for analysts and researchers who need to bin, aggregate, and visualize data without wrestling with low-level histogram APIs.\n\nThe package includes plotting routines for 1D and 2D histograms, support for histogram stacks, and an extended indexing system (UHI+) that allows data-coordinate slicing and rebinning. It depends on boost-histogram for the core binning engine, numpy for array operations, and optional extras for plotting and fitting. The library is actively maintained, supports modern Python versions (3.10+), and is part of the Scikit-HEP ecosystem.","worth_installing":"Yes. Hist is actively maintained, has no known vulnerabilities, installs with low friction, and is BSD-3-Clause licensed. It is well-suited for anyone doing data binning or histogram analysis in Python, especially those working in scientific or physics domains. The named-axes interface and plotting integration make it more approachable than raw boost-histogram for exploratory work."},"id":"hist","links":{"html":"https://skillfed.io/packages/hist","md":"https://skillfed.io/packages/hist.md","pypi":"https://pypi.org/project/hist/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"hist","python_support":"supports_current","summary":"Hist classes and utilities"},"popularity":{"monthly_downloads":744588,"position":5172,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.11.0"}