molass 0.6.4

Matrix Optimization with Low-rank factorization for Automated analysis of SEC-SAXS

Molass Library is a rewrite of MOLASS, a tool for the analysis of SEC-SAXS experiment data currently hosted at Photon Factory and SPring-8, Japan.

To install this package, use pip as follows.

pip install -U molass

If you want to use Excel reporting features (Windows only), install with the excel extra:

pip install -U molass[excel]

Note: The excel extra installs pywin32, which is required for Excel reporting and only works on Windows.

For details, see also:

• Essence: https://molass-saxs.github.io/molass-essence for theory,
• Tutorial: https://molass-saxs.github.io/molass-tutorial for how to use,
• Technical: https://freesemt.github.io/molass-technical for technical details,
• Reference: https://molass-saxs.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://molass-saxs.github.io/molass-develop for maintenance.