thermohipy 0.2.2

A thermogravimetric analysis helper tool by Hikari.

ThermoHi

A lightweight Python toolkit for thermal kinetics data analysis and visualization.

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📖 Introduction

ThermoHi is a small, research-oriented Python package for thermal kinetic analysis
and data visualization, designed for TG/DTG analysis in polymer and biomass pyrolysis. It supports calculating apparent activation energy with model-free methods such as FWO, KAS, Starink, Friedman, and Vyazovkin method with clean APIs and ready-to-plot results. (You can also export the data and use your own software to create the plots.)

An example file (example.py) is included to illustrate the usage of ThermoHi's main functionalities.

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examples

FWO method： KAS method: Starink method: Friedman method: Vyazovkin method:

🔬 Planned Features

Future versions of ThermoHi will include:

• Support for importing experimental data directly from .csv or .xlsx files (via pandas)
• Unified plotting style for publication-ready figures (Matplotlib themes)
• Exporting results as .csv
• Directly read TG/DTG experimental data and automatically extract corresponding (T, β, dα/dT) values based on user-selected α

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📄 License

Distributed under the MIT License.
See LICENSE for details.

Author

Hikari Quicklime, Ph.D.
Forestry Industry Researcher & Independent Developer
GitHub: QuicklimeHikari

⚙️ Installation

pip install thermohipy