dsch 0.1.2

Structured, metadata-enhanced data storage.

DSCH provides structured, metadata-enhanced data storage for Python 3.

Features

• Application-specific, user-defined data schemas

  • Data fields (e.g. NumPy arrays, date/time, strings)

  • Data validation (e.g. array size limits)

  • Container elements (dict- or list-like)

  • Arbitrary nested data structures

  • Ensures consistent data input for later processing

• Metadata included in schemas

  • Consistent metadata for all datasets/files

  • Implicit documentation of dataset contents

  • Use e.g. for the unit of a physical quantity

• Support for multiple storage backends

  • HDF5 files

  • NumPy npz files

  • MATLAB mat files

  • Modular interface for adding new backends

• Unified user frontend

  • Data handling is independent from the backend in use