Structured, metadata-enhanced data storage.
Project description
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
Modular interface for adding new backends
Unified user frontend
Data handling is independent from the backend in use
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