Use case · Research & science

A lab notebook that computes exactly.

The analysis lives in five places: algebra in Mathematica, ODEs in MATLAB, stats in a notebook, wrangling in pandas, the write-up in a doc. Grid puts exact symbolic work, numerics, and data in the same reactive cells as the narrative — and every symbolic result carries a certificate you can replay.

Grids
01 · The model

Monday morning, as source.

analysis.gridgrid
symbol x
poly = A1*x^2 + 1

# exact, not floating-point-lucky
slope = SYMBOLIC.D(poly, x)
roots = SYMBOLIC.SOLVE(poly, x)
claim = SYMBOLIC.DECIDE(x^2 >= 0)

# numerics beside the algebra
traj = ODE_SOLVE(f, y0, tspan)

A1 is an ordinary reactive input — edit it and the symbolic pipeline rebuilds. Assumptions gate rewrites: x/x only cancels when x ≠ 0 is actually known.

Not a demo. A working domain.

This isn't a wrapper around a CAS: symbolic values are native, and beside them sit sequence alignment (BIO_ALIGN), molecular docking (MOL_DOCK), and hundreds of physics, chemistry, and astronomy functions in the same catalog.

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