DataFinder is a data management software developed in Python that primarily targets the management of huge data accumulations, often encountered in the scientific field. The system is able to handle large amounts of data and can be easily integrated in existing working environments. It can be optimized to fit any situation by embedding scripts.
DataFinder is a lightweight software for managing technical and scientific data. It was developed to manage large amounts of data, and allows data to be stored using a number of different storage interfaces (e.g. WebDAV, FTP, GridFTP, or TSM). The structure of the data and descriptive metadata are stored in XML format on the central server and can be edited using the standardized WebDAV protocol.
One can contribute, in using the software , extending it with your own scripts and also developing the underliying structure even further.
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Requirements:
· Python
What's New in This Release: [ read full changelog ]
· Added Subversion support. A subversion server can be used for meta data storage and data storage.
· Added Amazon S3 support. S3 storage resources can be used for data storage.
· Added domain property support.
· Added first version of an event notification system.
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