DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.

Features

  • Organization of managed data objects within a hierarchical structure which is determined by a free-definable data model
  • Import of data files into different storage locations
  • Archival of managed data using Tivoli Storage Manager as storage backend
  • Support of standard file browser features, e.g. coyping, moving, deletion, ...
  • Support of symbolic links on data objects
  • Support of complex search queries based upon meta data
  • Platform-independent graphical user interfaces
  • Access to managed data via a Python API

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License

BSD License

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User Reviews

  • Good developed, simple and easy to install.

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Additional Project Details

Intended Audience

Aerospace, End Users/Desktop, Engineering, Science/Research

User Interface

Qt

Programming Language

Python

Registered

2008-08-21