Metadata-Version: 2.4
Name: molass_legacy
Version: 0.2.4
Summary: Matrix Optimization with Low-rank factorization for Automated analysis of SEC-SAXS
Project-URL: Repository, https://github.com/freesemt/molass-legacy
Author: Molass Community
Maintainer: Molass Community
License: GNU General Public License v3.0
License-File: LICENSE.txt
Keywords: SEC-SAXS
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Requires-Python: <3.13,>=3.9
Requires-Dist: lmfit
Requires-Dist: matplotlib
Requires-Dist: molass>=0.3.0
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: openpyxl
Requires-Dist: psutil
Requires-Dist: pybaselines>=1.2.0
Requires-Dist: pyperclip
Requires-Dist: python-tkdnd
Requires-Dist: pywin32
Requires-Dist: ruptures
Requires-Dist: scikit-learn
Requires-Dist: scipy<1.16.0
Requires-Dist: screeninfo
Requires-Dist: seaborn
Requires-Dist: statsmodels
Requires-Dist: termcolor
Requires-Dist: toml
Requires-Dist: wmi
Description-Content-Type: text/markdown

<h1 align="center"><a href="https://freesemt.github.io/molass-legacy"><img src="docs/_static/molass-legacy.png" width="400"></a></h1>

Molass Legacy is an open-source version of [MOLASS](https://pfwww.kek.jp/saxs/MOLASSE.html) an analytical tool for SEC-SAXS experiment data currently hosted at [Photon Factory](https://www2.kek.jp/imss/pf/eng/) or [SPring-8](http://www.spring8.or.jp/en/), Japan.

To install this package, use pip as follows.

```
pip install -U molass_legacy
```

For details, see also:

- **Legacy Reference:** https://freesemt.github.io/molass-legacy for legacy function reference

See also:

- **Molass Library Repository:** https://github.com/nshimizu0721/molass-library

<br>