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A collection of twenty-nine browser-native, fully accessible interactive tools for a one-semester linear algebra course at the sophomore level, suitable for mathematics, engineering, computer science, and data science majors. The collection is distinguished from existing linear-algebra visualization resources by three design choices. First, all tools run entirely in the browser with full WCAG 2.1 AA conformance — keyboard navigation, screen-reader-accessible mathematics, and visible focus indicators throughout. Second, the collection supports direct pedagogical comparison: three parallel least-squares solvers (normal equations, QR decomposition, and SVD) operate on identical input data so students can compare conditioning, computational cost, and numerical behavior across methods on the same problem. This comparison is awkward to set up in classroom software and is rarely available in a single integrated tool. Third, the foundational tools provide step-by-step worked output (REF and RREF solvers with pivot highlighting at each elimination step, elementary matrices presented explicitly as the matrix-multiplication encoding of row operations, matrix inverse via augmented row reduction with intermediate steps), giving students a verification tool for hand calculations rather than only a final answer. The collection covers foundations (row reduction, determinant, trace, inverse, four fundamental subspaces), geometry (animated 2D transformations, the row-versus-column-picture view of 2D systems, change-of-basis animation, determinant as oriented area or volume, matrix-vector multiplication with eigenvector display), decompositions (LU with partial and scaled-partial pivoting, QR, Cholesky, CR, diagonalization, full SVD with both numerical computation and a three-step rotate-scale-rotate geometric animation), and applied topics (Gram-Schmidt, similarity transforms, the Moore-Penrose pseudo-inverse).

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