.npyTypical support level 5

Open NumPy NPY Arrays Online

Explore NPY array dimensions, data types and values without installing Python. Free, with no uploads, signup or software installation.

Choose a .npy file

Your file stays on this device

Choose a file to view it in your browser. No signup or software installation needed. Your file stays on your device and is never uploaded.

What Anyfile can show

Array shape, dtype and byte order
Paged primitive and structured values
Fortran- or C-order metadata

Limits and conditions

Object arrays are not deserialized for safety
Very high-dimensional arrays are flattened into an inspection-oriented view

IMPLEMENTATION

Viewers responsible for this format

NPY is NumPy's binary format for one array. Anyfile parses the header, validates the data layout and exposes numeric, boolean, string and structured values in bounded pages.

NumPy array viewer

NumPy array viewer: explore supported file formats, viewing limits and open-source credits. Your files are never uploaded.

See implementation and open-source credits

Common question

Does Anyfile execute Python pickle data in an NPY file?

No. Object deserialization is intentionally rejected; the viewer handles safe array layouts only.