{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/6"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/8"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/4"},{"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":"Financial","url":"https://skillfed.io/packages/category/office-business-financial"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"},{"label":"Education","url":"https://skillfed.io/packages/category/education"},{"label":"Computer Aided Instruction (CAI)","url":"https://skillfed.io/packages/category/education-computer-aided-instruction-cai"}],"enrichment":{"capability":"Rounds numbers by significant figures, decimal places, or uncertainty, and formats them in multiple scientific and publication styles with results that match expected mathematical behavior.","skillfed_tags":["numeric-precision","scientific-computing"],"use_cases":["Round measurement data with associated uncertainty for scientific publications or lab reports.","Format financial figures to significant digits for regulatory or presentation purposes.","Ensure consistent rounding behavior in educational software or numerical computing workflows.","Convert numeric results to publication-ready strings with appropriate precision notation.","Handle rounding in physics or chemistry calculations where significant figures are critical."],"what_it_does":"sigfig is a Python library that fixes the unintuitive behavior of Python's built-in round() function by providing mathematically correct rounding based on significant figures, decimal places, or measurement uncertainty. It accepts numbers in multiple formats (int, float, string) and returns rounded results as strings or formatted output.\n\nThe package is designed for scientific, financial, and educational contexts where rounding precision matters. It supports several output formats including Drake notation and uncertainty representation, making it useful for publishing results, displaying measurements with error bounds, or ensuring consistent numerical behavior across calculations where standard Python rounding would give unexpected results.","worth_installing":"Yes, if you need reliable significant-figure or uncertainty-based rounding. The package is stable (Production/Stable status), permissively licensed, has no known vulnerabilities, and carries low install friction. The aging maintenance status (last release 522 days ago) is not a blocker for a mature rounding library, but verify that its behavior matches your specific rounding requirements before adopting it in new projects."},"id":"sigfig","links":{"html":"https://skillfed.io/packages/sigfig","md":"https://skillfed.io/packages/sigfig.md","pypi":"https://pypi.org/project/sigfig/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-03-10","license_spdx":null,"license_treatment":"permissive","name":"sigfig","python_support":"supports_current","summary":"Python library for rounding numbers (with expected results)"},"popularity":{"monthly_downloads":824182,"position":4963,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.3.19"}