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

Tested Platforms

Continuous integration tests run on:

  • Python 3.12, 3.13, 3.14 on Ubuntu (latest)
  • Python 3.12, 3.13, 3.14 on Windows (latest)

Installation

Requirements: Python 3.12, 3.13, or 3.14

Linux (Ubuntu/Debian) prerequisites:

Before installing on Linux, ensure system build tools are available (needed to compile C extensions such as ultranest):

sudo apt install build-essential python3-dev

To install this package, use pip as follows:

pip install -U molass
pip install molass_data  # Sample datasets for tutorials and testing

For development (requires molass-legacy as a sibling directory):

git clone https://github.com/biosaxs-dev/molass-library
git clone https://github.com/biosaxs-dev/molass-legacy
cd molass-library
pip install -e ".[testing]"
pip install molass_data

Quick Start

For a hands-on introduction, see the tutorial's Quick Start section, or run the corresponding test file:

pytest tests/tutorial/01-quick_start.py -v

Note: Running tests requires the development install. See CONTRIBUTING.md for setup instructions.

The molass-beginner repository provides an interactive onboarding experience in VS Code Agent mode.

Documentation

Community

To join the community, see:

Especially for testing, see the first two sections in

Copilot Usage

Context is auto-loaded from .github/copilot-instructions.md when using GitHub Copilot in Agent mode (AI Context Standard).

For behavioral rules and user-type guidance, see Copilot/copilot-guidelines.md.

Optional Features

Excel reporting (Windows only):

If you want to use Excel reporting features (Windows only) for backward compatibility, 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.

Project links

Data verified by PyPI on Aug 7, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (1.0.7)

2 maintainers

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Credits

Author/Maintainer: Masatsuyo Takahashi, Nobutaka Shimizu

GitHub Statistics

Data verified by PyPI on Aug 7, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU General Public License v3 (GPLv3) (GNU General Public License v3.0)

Requires

Python <3.15, >=3.12

Provides Extra

excel testing

Tags

SEC-SAXS

Classifiers

Report project as malware

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