{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"PolicyEngine US models the US federal and state tax and benefit system for household-level microsimulation calculations, computing tax liabilities, benefit eligibility, and distributional impacts.","skillfed_tags":["tax-policy-modeling","microsimulation","open-research"],"use_cases":["Compute household tax liability and benefit eligibility under current or proposed tax-benefit rules.","Analyze distributional or budgetary impacts of policy changes on specific household types.","Validate policy proposals by running microsimulation scenarios against calibrated US demographic and income data.","Integrate US tax-benefit calculations into a larger policy analysis or research workflow.","Inspect and audit the encoded rules of the federal and state tax-benefit system."],"what_it_does":"PolicyEngine US is a microsimulation engine that encodes the rules of the US federal and state tax and benefit system, allowing you to compute tax liabilities, benefit eligibility, and household-level financial outcomes under different policy scenarios. It is built on policyengine-core and integrates with pandas, microdf-python, spm-calculator, and tables to handle data processing and tabular storage.\n\nThe package is actively maintained and positioned as the authoritative source for US tax-benefit rules and household calculations. However, the description explicitly notes that direct microsimulation via the Microsimulation() class is deprecated; the maintainers recommend using the policyengine.py bundle for population-wide modeling, which pins certified and calibration-gated datasets. Microsimulation results are estimates and should be validated against the calibration diagnostics.","worth_installing":"Yes, if you need to model US household-level tax and benefit outcomes and are comfortable with AGPL v3 licensing. The package is actively maintained, has low install friction, and is the canonical source for US tax-benefit rules. However, note that direct microsimulation is deprecated in favor of the policyengine.py bundle for population-wide analysis. Verify that your Python version (3.11\u20133.14) and pandas 3+ are available before installing."},"id":"policyengine-us","links":{"html":"https://skillfed.io/packages/policyengine-us","md":"https://skillfed.io/packages/policyengine-us.md","pypi":"https://pypi.org/project/policyengine-us/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"agpl","name":"policyengine-us","python_support":"supports_current","summary":"US federal and state tax-benefit microsimulation model."},"popularity":{"monthly_downloads":167425,"position":10470,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.808.0"}