Inspect NumPy NPY matrix
Inspect NumPy NPY shape, numeric dtype and storage order locally.
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Supported input formats
- NumPy NPY numeric array (.npy)
Output format
JavaScript Object Notation (.json)
Support applies to this conversion direction. Check the limits below for features that may change or be discarded.
Compare all supported formats and conversion limits →How to use Inspect NumPy NPY matrix
- Add your supported file using the chooser or drop zone.
- Review the settings and conversion limits before processing.
- Select Convert files, then download the result.
What to expect
- Maximum 64 MiB and 2 million stored values/coordinates; each dimension is at most 2 million. Only finite values are supported. Dense CSV is capped at 2 million cells.
- NPY v1/v2/v3, plain numeric/bool dtype only: signed/unsigned 1/2/4/8-byte integers, float32/64 and bool. Endianness and C/Fortran order are handled. No object/pickle, structured, string, float16, complex, NPZ or masked arrays. JSON stores flat data in original storage order with shape/dtype; unsafe integers are decimal strings. CSV supports rank 0–2 and lays out rows/columns; JSON supports rank up to 32.
Engine: Local scientific matrix parser. The engine may need a first-use download. Your file stays in this browser session.Check conversion engines and offline requirements.
About this conversion
Is inspect numpy npy matrix free?
Yes. This tool runs on your device without an account or a conversion fee.
Are files uploaded during conversion?
File processing happens locally in your browser. Engines may download their code on first use; your input files are not sent to a conversion server. Read how file privacy works.
What if conversion fails?
Check that the file matches a supported input, review the engine’s limitations and try a smaller representative file. If the engine cannot load, check its engine assets and browser requirements. The app reports failures without switching to a remote converter.
Continue with your output
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- JSON to SQLite database
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