What is a .NPY file?
NPY stores a NumPy array, the core data type of Python’s scientific stack.
- Did you know
- The .npy format was designed to save NumPy arrays to disk efficiently.
- A short header at the top of the file stores the array’s data type, shape and whether it is laid out in C or Fortran order, as a Python dictionary literal.
- If the array holds Python objects rather than numbers, the data section falls back to a pickle stream instead of a raw memory dump.
- What Analyser reads
- Identify and read metadata from developer and data files: JWT tokens (header + claims + expiry), WebAssembly, Java class files, NumPy/Safetensors/GGUF model files, source maps, SQL dumps, Visual Studio/.NET projects, Terraform, Protobuf, GraphQL, SARIF, Python bytecode, and Apple property lists (XML + binary). Jupyter notebooks (IPYNB) and HAR captures now open in a full viewer - see Notebooks & data above.
- Depth of analysis
- .NPY is an identification-grade format: Analyser recognises it from its bytes and decodes the header metadata it carries, rather than opening it in a full viewer. Formats that do get a full viewer are marked "Full" on the formats page.
- Open a .NPY file
- Drag a .NPY file onto the Analyser home page (or tap to pick one). It is identified entirely in your browser - nothing is uploaded, there is no account, and it works offline once installed.