{"id":57188,"library":"ndarray","title":"Ndarray","description":"An n-dimensional array for general elements and numerics with lightweight array views and slicing.","status":"active","version":"0.17.2","language":"rust","source_language":null,"source_url":"https://github.com/rust-ndarray/ndarray","tags":["array","numerics","linear-algebra","scientific"],"install":[{"cmd":"# Cargo.toml\n[dependencies]\nndarray = \"0.17.2\"","lang":"toml","label":"Cargo.toml"},{"cmd":"cargo add ndarray","lang":"bash","label":"cargo add"}],"dependencies":[],"imports":[{"symbol":"Array2","correct":"use ndarray::Array2;"}],"quickstart":{"code":"use ndarray::Array2;\n\nfn main() {\n    let mut a = Array2::<f64>::zeros((3, 4));\n    a[[1, 2]] = 3.14;\n    println!(\"{:?}\", a);\n}","lang":"rust","description":"Create a 3x4 zero-filled 2D array and set one element."},"warnings":[],"env_vars":null,"search_vec":"'algebra':22 'array':6,14,18 'dimension':5 'element':9 'general':8 'lightweight':13 'linear':21 'linear-algebra':20 'n':4 'n-dimension':3 'ndarray':1 'numer':11,19 'scientif':23 'slice':17 'view':15","created_at":"2026-06-16T15:32:01.653017+00:00","updated_at":"2026-06-16T15:32:01.653017+00:00","problems":[],"ecosystem":"crates","meta_description":null,"install_score":null,"quickstart_score":null,"quickstart_tag":null,"pypi_latest":null,"cli_name":null,"cli_version":null,"type":"library","homepage":"https://github.com/rust-ndarray/ndarray","github":"https://github.com/rust-ndarray/ndarray","docs":"https://docs.rs/ndarray/","changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"categories":["utility"],"base_url":null,"auth_type":null,"provenance":{"verified_status":null,"verified_at":null,"last_verified":"2026-06-16","next_check":"2026-12-13","install_tag":null}}