{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Provides a pythonic interface to Particle Data Group particle identification codes and properties, with lookup and search utilities for particle physics data.","skillfed_tags":["particle-physics","hep-data","physics-simulation"],"use_cases":["Look up particle properties by PDG ID or name in high-energy physics simulations and analysis.","Filter particles by quantum numbers (flavor, spin, charge) to find specific particle types in Monte Carlo events.","Convert between different particle identification schemes used by MC generators and the standard PDG numbering.","Build particle classification functions by composing PDGID property queries for custom physics selections.","Query nucleus information and construct particle objects for nuclear physics calculations."],"what_it_does":"Particle wraps the Particle Data Group's official particle tables and provides object-oriented access to particle properties, identification codes (PDGIDs), and metadata. It implements the standard PDG ID numbering scheme through the PDGID class, which supports queries on particle properties like flavor content, spin, and charge. The Particle class offers search and lookup utilities to find particles by PDG ID, name, EvtGen identifier, or by filtering on properties like mass, width, and quark content.\n\nThe package is designed for high-energy physics workflows where you need to look up particle properties, classify particles by their quantum numbers, or work with Monte Carlo generator identification schemes. It includes command-line tools for quick lookups and provides both object-oriented and functional interfaces to PDGID queries, making it suitable for interactive exploration or embedded in analysis scripts.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It fills a clear need for standardized particle data access in HEP workflows. Install it if you work with particle physics data or Monte Carlo event analysis."},"id":"particle","links":{"html":"https://skillfed.io/packages/particle","md":"https://skillfed.io/packages/particle.md","pypi":"https://pypi.org/project/particle/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"particle","python_support":"supports_current","summary":"Extended PDG particle data and MC identification codes"},"popularity":{"monthly_downloads":116279,"position":12212,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}