Market area models, such as the Huff model and its extensions, are widely used to estimate regional market shares and customer flows of retail and service locations. Another, now very common, area of application is the analysis of catchment areas, supply structures and the accessibility of healthcare locations. The huff Python package provides a complete workflow for market area analysis, including data import, construction of origin-destination interaction matrices, basic model analysis, parameter estimation from empirical data, calculation of distance or travel time indicators, and map visualization. Additionally, the package provides several methods of spatial accessibility analysis. The package is modular and object-oriented. It is intended for researchers in economic geography, regional economics, spatial planning, marketing, geoinformation science, and health geography. The software is openly available via the [Python Package Index (PyPI)](https://pypi.org/project/huff/); its development and version history are managed in a public [GitHub Repository](https://github.com/geowieland/huff_official) and archived at [Zenodo](https://doi.org/10.5281/zenodo.18639559).

翻译：市场区域模型，例如Huff模型及其扩展，被广泛用于估计零售和服务网点的区域市场份额与客流量。另一个如今非常普遍的应用领域是分析医疗机构的服务区、供给结构与可达性。huff Python包为市场区域分析提供了完整的工作流程，包括数据导入、构建起点-终点交互矩阵、基础模型分析、基于经验数据的参数估计、距离或出行时间指标计算以及地图可视化。此外，该包还提供了多种空间可达性分析方法。该包采用模块化与面向对象的设计，主要面向经济地理学、区域经济学、空间规划、市场营销、地理信息科学以及健康地理学领域的研究人员。该软件可通过[Python Package Index (PyPI)](https://pypi.org/project/huff/)公开获取；其开发与版本历史在公共[GitHub仓库](https://github.com/geowieland/huff_official)中进行管理，并归档于[Zenodo](https://doi.org/10.5281/zenodo.18639559)。