Metadata-Version: 2.4
Name: udos
Version: 0.0.3
Summary: Universal Dataset Open Standard
Project-URL: Homepage, https://github.com/i2mint/udos
Project-URL: Repository, https://github.com/i2mint/udos
Project-URL: Documentation, https://i2mint.github.io/udos/
Author: Thor Whalen
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: acquisition,data,dataset,search,sharing,standard
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Provides-Extra: dev
Requires-Dist: pytest-cov>=4.0; extra == 'dev'
Requires-Dist: pytest>=7.0; extra == 'dev'
Requires-Dist: ruff>=0.1.0; extra == 'dev'
Provides-Extra: docs
Requires-Dist: sphinx-rtd-theme>=1.0; extra == 'docs'
Requires-Dist: sphinx>=6.0; extra == 'docs'
Description-Content-Type: text/markdown

# udos
Universal Dataset Open Standard

A place to develop an open standard for dataset 
search, acquisition, reusable preparation, and sharing.

# Target user stories

- Search outside data (use several sources such as kaggle, github, named urls, etc?)
- Get local copy of data 
    - Set rules for automatic updates of data
- Search locally using:
    - General query expansion (using word2vec?)
    - Custom aliases
    - Fuzzy matching
- Construct data feeds by combining multiple data feeds
- Visualize relationships (to understand the data, spot errors, etc.)
- Operable quick models (for quick-and-dirty inference)
