traval

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0.5.1 traval-0.5.1-py3-none-any.whl

Wheel Details

Project: traval
Version: 0.5.1
Filename: traval-0.5.1-py3-none-any.whl
Download: [link]
Size: 38890
MD5: b0c54db652253f494f86c51b7bffc086
SHA256: f774105706241d0ea2fcd06a7112c2d4bab0562b36b9fe1ca93bc3c070067897
Uploaded: 2024-09-27 08:25:34 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: traval
Version: 0.5.1
Summary: Python package for applying automatic error detection algorithms to time series. Create custom error detection algorithms to support data validation workflows.
Author: D.A. Brakenhoff
Maintainer-Email: "D.A. Brakenhoff" <d.brakenhoff[at]artesia-water.nl>
Project-Url: homepage, https://github.com/ArtesiaWater/traval
Project-Url: repository, https://github.com/ArtesiaWater/traval
Project-Url: documentation, https://traval.readthedocs.io/en/latest/
Keywords: hydrology,groundwater,time series,analysis,database
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Other Audience
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Hydrology
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Requires-Dist: traval[ci]; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: Ipython; extra == "docs"
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Requires-Dist: nbsphinx; extra == "docs"
Requires-Dist: nbsphinx-link; extra == "docs"
Provides-Extra: ci
Provides-Extra: docs
Description-Content-Type: text/markdown
[Description omitted; length: 4115 characters]

WHEEL

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traval-0.5.1.dist-info/RECORD

top_level.txt

traval