Welcome to dsch’s documentation!

DSCH (data schema consistency helper) provides structured, metadata-enhanced data storage in different formats. Users define an application-specific data schema, combining different fields (e.g. NumPy arrays, strings, dates) into the required structure. Constraints may be applied to individual fields, e.g. limiting the size of an array. Also, the schema can include metadata, e.g. units of physical quantities, to produce consistent and self-documenting datasets. Data can be stored in different formats (HDF5, NumPy or MATLAB files) through a single, unified interface.

Contents

• dsch
  • Introduction
  • Reasoning
• Installation
  • Stable release
  • From sources
• Tutorial
  • Defining a Schema
  • Opening a Storage
  • Accessing Data
  • Modifying Data
  • Data Validation
  • Storing Data
  • Conclusion
• Advanced Topics
  • Schema design
  • Querying field state
  • Validation
• API Reference
  • Schema specification
  • User frontend
  • Data management
  • Storage interfaces
  • HDF5 backend
  • NumPy NPZ backend
  • MAT-file backend
  • Custom exceptions
• Credits
  • Development Lead
  • Contributors
• Changelog
  • 0.3.0 - 2021-02-12
  • 0.2.1 - 2018-02-02
  • 0.2.0 - 2018-02-01
  • 0.1.3 - 2018-01-11
  • 0.1.2 - 2017-08-25
  • 0.1.1 - 2017-06-09
  • 0.1.0 - 2017-05-18

Indices and tables

• Index
• Module Index
• Search Page