Tax-Calculator is a mature, open-source microsimulation library for static (and simple behavioral) analysis of the US federal individual income and payroll tax system. It provides a Python API and a CLI tool (`tc`) that allow users to define policy reforms via JSON parameter files, apply them to microdata samples (CPS, PUF, or TMD), and produce distributional tables, revenue estimates, marginal tax rates, and welfare measures. The core architecture separates policy parameters (`Policy`), taxpayer records (`Records`), and economic adjustments (`GrowFactors`, `GrowDiff`, `Consumption`) from the calculation engine (`Calculator`), which uses Numba JIT compilation for performance. While primarily an application/library with formal releases and CI/CD, it also bundles research data (CPS microdata, grow factors) and includes extensive cross-validation against NBER's TAXSIM-35 model. The codebase is well-structured, heavily tested, and actively maintained, with a clear modular design that supports both CLI and programmatic use.
This repository is a curated, static collection of real-world legal case studies documenting the consequences of web scraping, data theft, and automated tool misuse in China. It contains no executable code, data pipelines, or analytical notebooks; instead, it organizes news articles, court documents, and lawyer analyses into categorized 'forbidden zones' (禁区) covering illegal crawler services, personal data trading, copyright infringement, and service disruption. The sole entry point is the README, which lists 16+ cases with links to external sources. While not a software project, it serves as a valuable educational reference for developers and legal practitioners navigating Chinese data compliance law. The repository is fully reproducible as it consists of static markdown files with no dependencies or runtime requirements.