Stoner

Official Resources

• Homepage: https://stoner.readthedocs.io/
• Documentation: https://stoner.readthedocs.io/
• Source Repository: https://github.com/PhysicsStoner/Stoner
• License: GPL v3

Overview

The Stoner package is a Python library containing a collection of utilities for managing and analyzing experimental data, particularly in physics. It provides a Data class (subclassing Pandas DataFrame) with metadata handling and specialized plotting/analysis methods useful for experimentalists (e.g., hysteresis loops, IV curves).

Scientific domain: Experimental physics data analysis
Target user community: Experimental physicists (Leeds University origin)

Capabilities (CRITICAL)

• Data Loading: Readers for various instrument formats (VSM, resistivity, etc.).
• Metadata: Dictionary-like metadata associated with data.
• Analysis: Curve fitting, smoothing, differentiation.
• Plotting: Publication-quality plotting wrappers around Matplotlib.

Sources: Stoner documentation

Inputs & Outputs

• Input formats: CSV, instrument text files
• Output data types: Plots, processed files

Interfaces & Ecosystem

• Pandas/Matplotlib/Scipy: Built on top of the standard stack.

Workflow and Usage

1. d = Stoner.Data.load('file.dat')
2. d.plot(x='Field', y='Moment')
3. d.analyze(...)

Performance Characteristics

• Python convenience wrapper.

Application Areas

• Magnetism (VSM data)
• Transport measurements
• General lab data analysis

Community and Support

• Developed at University of Leeds (Cond. Matt. group).

Verification & Sources

Primary sources:

1. GitHub: https://github.com/PhysicsStoner/Stoner

Confidence: VERIFIED

Verification status: ✅ VERIFIED

• Website: ACTIVE
• Documentation: AVAILABLE
• Source: OPEN (GitHub)
• Development: ACTIVE
• Applications: Experimental data analysis