{"categories":[{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Mizani provides scales and transformations for graphics systems, handling data mapping, formatting, and axis/legend generation for visualization libraries.","skillfed_tags":["visualization-backend","data-transformation"],"use_cases":["Format axis labels and legends in a custom graphics system or plotting library.","Transform data values (log, sqrt, date) for visualization without modifying the original dataset.","Generate color scales and palettes for multi-dimensional data visualization.","Handle timezone-aware date formatting in time-series plots.","Standardize scale behavior across multiple chart types in a graphics framework."],"what_it_does":"Mizani is a scales library for Python graphics, inspired by Hadley Wickham's R Scales package. It provides tools to map data values to visual properties\u2014colors, positions, sizes\u2014and to format axes and legends. The package handles continuous and discrete scales, data transformations, and formatting functions that graphics systems need to render plots correctly.\n\nIt is typically used as a backend component in visualization libraries rather than directly by end users. The package depends on numpy, scipy, pandas, and tzdata to perform numerical transformations and handle time-zone-aware date formatting. With low install friction and support for Python 3.10+, it integrates cleanly into graphics pipelines that need robust, reusable scale logic.","worth_installing":"Yes, if you are building or extending a graphics library that needs production-grade scale and formatting logic. No, if you are a data analyst looking for a direct plotting tool\u2014use plotnine or matplotlib instead. The aging maintenance status and minimal recent activity suggest it is stable but not actively developed; evaluate whether you need active upstream support."},"id":"mizani","links":{"html":"https://skillfed.io/packages/mizani","md":"https://skillfed.io/packages/mizani.md","pypi":"https://pypi.org/project/mizani/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-28","license_spdx":null,"license_treatment":"permissive","name":"mizani","python_support":"supports_current","summary":"Scales for Python"},"popularity":{"monthly_downloads":3401046,"position":2634,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.14.4"}