{"categories":[{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"Power Grid Model is a Python/C++ library for steady-state distribution power system analysis, supporting power flow, state estimation, and short circuit calculations.","skillfed_tags":["power-systems","grid-analysis","scientific-computing"],"use_cases":["Run power flow studies to determine steady-state voltages and currents in a distribution network","Perform state estimation to infer grid conditions from real-world measurement data","Analyze short circuit faults to size protective equipment and validate grid resilience","Validate input data and export results for integration with other grid analysis tools","Build grid optimization or planning workflows that require repeated steady-state calculations"],"what_it_does":"Power Grid Model is a production-grade library for analyzing electrical distribution networks. The core is implemented in C++ for performance, with a Python interface for ease of use. It handles three main types of steady-state power system calculations: power flow (determining voltages and currents), state estimation (inferring grid state from measurements), and short circuit analysis (computing fault currents). The library depends only on numpy and is distributed as pre-compiled wheels for most platforms, making installation straightforward despite its compiled nature.\n\nDevelopers use it to model and analyze distribution grids\u2014the lower-voltage networks that deliver power to neighborhoods and industrial sites. It's aimed at researchers, engineers, and developers working on grid planning, operation, or optimization. The project is actively maintained under the LF Energy umbrella and includes documentation and examples for common workflows.","worth_installing":"Yes, if you work on power system analysis. The library is production-stable, actively maintained, has no known vulnerabilities, and solves a specialized but well-defined problem. Medium install friction is manageable given pre-compiled wheels for common platforms. The copyleft license (MPL-2.0) is a consideration only if you plan to distribute modified versions of the library itself; using it as-is in proprietary applications is permitted."},"id":"power-grid-model","links":{"html":"https://skillfed.io/packages/power-grid-model","md":"https://skillfed.io/packages/power-grid-model.md","pypi":"https://pypi.org/project/power-grid-model/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"MPL-2.0","license_treatment":"copyleft","name":"power-grid-model","python_support":"supports_current","summary":"Python/C++ library for distribution power system analysis"},"popularity":{"monthly_downloads":152047,"position":10912,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.13.142"}