Wheelodex » Projects » peak-performance

peak-performance

View on PyPI — Reverse Dependencies (0)

0.7.0 peak_performance-0.7.0-py3-none-any.whl

Wheel Details

Project: peak-performance
Version: 0.7.0
Filename: peak_performance-0.7.0-py3-none-any.whl
Download: [link]
Size: 43993
MD5: 84d87365dbaa9d3380620c3c7626c8a6
SHA256: 1b5110bf9836b6a563c2ee76ecd7d1f50dbd797d2f0f0a9789eb67e9217c817b
Uploaded: 2024-05-14 07:39:55 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: peak-performance
Version: 0.7.0
Summary: A Python toolbox to fit chromatography peaks with uncertainty.
Author-Email: Jochen Nießer <j.niesser[at]fz-juelich.de>, Michael Osthege <m.osthege[at]fz-juelich.de>
Project-Url: homepage, https://jugit.fz-juelich.de/IBG-1/micropro/peak-performance
Project-Url: documentation, https://jugit.fz-juelich.de/IBG-1/micropro/peak-performance
Project-Url: repository, https://jugit.fz-juelich.de/IBG-1/micropro/peak-performance
License: AGPLv3
Keywords: hplc,mass-spectrometry,uncertainty quantification
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.9
Requires-Dist: arviz
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pymc (>=5.9.1)
Requires-Dist: pytensor
Requires-Dist: scipy
Requires-Dist: openpyxl
Requires-Dist: numpy (<1.26.0)
Description-Content-Type: text/markdown
License-File: LICENSE.md
[Description omitted; length: 3988 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
peak_performance/__init__.py sha256=yTq4THYewbWRnrs2Qkv4nCd-7MyvDlu_t0fPeWeKxQc 261
peak_performance/models.py sha256=HpJzjf9Eq1ZXUxKlX6GZDj21icL4s_G0naJrCgWntcM 27457
peak_performance/pipeline.py sha256=8yy2-hTNozBJeLE_dulQJCzCBWv2CoRRdXSHDN2UwD8 64395
peak_performance/plots.py sha256=5F-s7ZcFgZuN5xGIWRSJ5-_Pl99-vqbcr3F8dYnBFQc 9455
peak_performance/test_main.py sha256=xQiLDjhldxZzY5sp3RyIJUTtXxX46auWY9Qy7nuifxw 97
peak_performance/test_models.py sha256=r6kqAVBtAbycf4IoRaXcSCZp6Lras3afK6o9qcLZbH8 11592
peak_performance/test_pipeline.py sha256=gTZAxcJEVwJ0XW4IewmIWGLmx1n7KaK8egrovKHsCFI 22961
peak_performance/test_plots.py sha256=lGwPWzezAhzEnyu_NMx2lFtyzzb1wxy-jnRMtOaaniY 4100
peak_performance-0.7.0.dist-info/LICENSE.md sha256=zj-4LZ7oChyw5Uj5sFYOrVI3juK06Cb9lFm0rPcHXYk 32387
peak_performance-0.7.0.dist-info/METADATA sha256=uAz1t9qggYqguLgLPJ611PjUOYKM8CWJQLXbH3u8RsY 5076
peak_performance-0.7.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
peak_performance-0.7.0.dist-info/top_level.txt sha256=-lZSmgn2fZA-xPVmddLwaRt2hQeeWj7TYVefOk7_T58 17
peak_performance-0.7.0.dist-info/RECORD — —

top_level.txt

peak_performance