{"library":"vector","type":"library","category":null,"description":"The Vector library provides classes and utilities for representing 2D, 3D, and 4D vectors, primarily for scientific computing, especially within the Scikit-HEP ecosystem. It offers a NumPy-compatible interface for vector operations, with support for various backends including pure Python objects, NumPy arrays, Awkward Arrays, and Numba for JIT-compiled calculations. The current version is 1.8.0, and it maintains a regular release cadence with several minor versions released annually.","language":"python","status":"active","version":"1.8.0","tags":["physics","mathematics","vectors","scikit-hep","numba","awkward","geometry","lorentz"],"last_verified":"Sat May 23","install":[{"cmd":"pip install vector","imports":["import vector","my_vec = vector.obj(x=1, y=2)","vec_array = vector.arr(x=[1,2,3], y=[4,5,6])","awk_array = vector.awk(x=ak.Array([1,2]), y=ak.Array([3,4]))"]}],"homepage":null,"github":"https://github.com/scikit-hep/vector","docs":"https://vector.readthedocs.io/","changelog":"https://vector.readthedocs.io/en/latest/changelog.html","pypi":"https://pypi.org/project/vector/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.9,"avg_import_s":0.35,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/vector/compatibility"}}