Core API for managing (scientific) data
Project description
- Documentation: http://dtoolcore.readthedocs.io
- GitHub: https://github.com/jic-dtool/dtoolcore
- PyPI: https://pypi.python.org/pypi/dtoolcore
- Free software: MIT License
Features
- Core API for adding different types of metadata to files on disk
- Automatic generation of structural metadata
- Programmatic discovery and access of items in a dataset
- Structural metadata includes hash, size and modification time for subsequent integrity checks
- Ability to annotate individual files with arbitrary metadata
- Metadata stored on disk as plain text files, i.e. disk datasets generated using this API can be accessed without special tools
- Ability to create plugins for custom storage solutions
- Plugins for iRODS and Microsoft Azure storage backends available
- Cross-platform: Linux, Mac and Windows are all supported
- Works with Python 2.7, 3.5 and 3.6
- No external dependencies
Overview
The dtoolcore project provides a Python API for managing (scientific) data. It allows researchers to:
- Package data and metadata into a dataset
- Organise and backup datasets easily
- Find datasets of interest
- Verify the contents of datasets
- Discover and work with data programatically
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size dtoolcore-3.14.0.tar.gz (15.2 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
