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Structured, metadata-enhanced data storage.

Project Description

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


  • 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
  • Unified user frontend
    • Data handling is independent from the backend in use
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Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
dsch-0.1.0.tar.gz (37.9 kB) Copy SHA256 Checksum SHA256 Source May 23, 2017

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