Welcome to Pkynetics’s Documentation

Pkynetics is a comprehensive Python library for thermal analysis kinetic methods. It provides tools for data preprocessing, kinetic analysis using various methods, and result visualization for thermal analysis data.

Key Features

• Data import from various thermal analysis instruments

• Model-fitting methods for kinetic analysis

• Model-free (isoconversional) methods

• Advanced computational techniques

• Result visualization tools

Contents

User Guide:

• Installation
  • Basic Installation
  • Dependencies
  • Development Installation
  • Verifying Installation
  • Troubleshooting
• Usage
  • Data Import
  • Model Fitting Methods
  • Result Visualization
• Troubleshooting
  • Installation Issues
  • Data Import Problems
  • Analysis Errors
  • Visualization Problems
  • Performance Issues
  • Reporting Issues

Modules:

• Data Import Module
  • TGA Importer
  • DSC Importer
  • Custom Importer
  • Key Features
  • Available Importers
  • Supported Manufacturers
  • Usage Example
• Model Fitting Methods
  • Avrami Method
  • Kissinger Method
  • Coats-Redfern Method
  • Freeman-Carroll Method
  • Horowitz-Metzger Method
  • Overview
  • Usage Example
• Model Free Methods
  • Overview

Development:

• Changelog

Getting Started

To get started with Pkynetics, please refer to the Installation guide for setup instructions, and the Usage page for an overview of the library’s capabilities.

For detailed examples and API documentation, explore the module-specific pages listed in the Contents section.

If you encounter any issues, consult the Troubleshooting guide for solutions to common problems.

Indices and Tables

• Index

• Module Index

• Search Page