molass


Namemolass JSON
Version 0.6.0 PyPI version JSON
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home_pageNone
SummaryMatrix Optimization with Low-rank factorization for Automated analysis of SEC-SAXS
upload_time2025-09-05 06:20:53
maintainerMolass Community
docs_urlNone
authorMolass Community
requires_python<3.13,>=3.9
licenseGNU General Public License v3.0
keywords sec-saxs
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center"><a href="https://nshimizu0721.github.io/molass-library"><img src="docs/_static/molass-title.png" width="300"></a></h1>

Molass Library is a rewrite 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
```

For details, see also:

- **Essence:** https://nshimizu0721.github.io/molass-essence for theory,
- **Tutorial:** https://nshimizu0721.github.io/molass-tutorial for how to use,
- **Technical:** https://freesemt.github.io/molass-technical for technical details,
- **Reference:** https://nshimizu0721.github.io/molass-library for function reference,
- **Legacy Repository:** https://github.com/freesemt/molass-legacy for legacy codes.

To join the community, see also:

- **Handbook:** https://nshimizu0721.github.io/molass-develop for maintenance.

<br>
            

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