Conformal

Static shape analysis for MATLAB. Catch dimension errors before runtime, no MATLAB license required.

Kalman filter with a bug
function [x_upd, P_upd] = kalman_update(x, P, H, z, R)
    y = z - H * x;
    S = H * P * H' + R;
    K = P * H' * inv(S);
    x_upd = x + K * y;
    P_upd = (eye(3) - K * H) * P;  % bug: should be eye(4)
end

x = zeros(4, 1);  P = eye(4);
H = [1 0 0 0; 0 1 0 0];  R = 0.5 * eye(2);
[x_upd, P_upd] = kalman_update(x, P, H, z, R);
Conformal output
W_ELEMENTWISE_MISMATCH line 6:
  eye(3) - (K * H):
  matrix[3 x 3] vs matrix[4 x 4]

Conformal tracks H, P, K through
each multiply, follows H' as the
transpose of H, and catches where
eye(3) conflicts with K * H.
Conformal showing inline diagnostics in VS Code

Dimension mismatches appear as underlines while you type.

No MATLAB license needed

Conformal analyzes .m files directly without calling MATLAB, so it runs on any machine, including CI servers and laptops without a license.

Zero false positives

Tested against 1,197 real-world files from 11 open-source repos. Zero crashes, zero false positives in default mode. 515 tests across 22 categories.

Under 100ms per file

The VS Code extension runs analysis on every keystroke with a 500ms debounce. The analyzer is compiled to JavaScript and runs in-process, so there is no subprocess startup cost.

Coming soon: MATLAB to Python

Conformal Migrate uses shape analysis to translate MATLAB to Python more accurately than a purely syntactic tool can. 168 builtins, shape-aware operator dispatch, and 1-to-0 index conversion with constant folding.