Welcome to IndenToolBox’s documentation!

IndenToolBox is an open‑source Python toolbox for instrumented indentation (nanoindentation) data. It takes you from raw instrument exports to structured, reproducible batch analyses and publication‑ready results — all within notebooks or Python scripts.

Key features

• Pre‑processing: parse vendor exports (e.g. Hysitron TI‑950, CSM), define the indenter tip and test protocol, assemble a Batch, and export TOML/CSV.

• Interactive widgets: optional UI in Jupyter for file selection and metadata entry.

• Post‑processing: step‑wise feature extraction (parabolic loading fit, unloading fit) and Oliver–Pharr modulus computation.

• Reverse analysis (demo): run methods such as GIAN99, DAO01, and CASA05 to back‑out material parameters.

• Plotting: quick inspection and interactive force–displacement plots.

• Reproducible pipeline: a shared data model between notebooks and the Python API.

Get started

• Installation and configuration: see Getting started with IndenToolBox.

• Hands‑on examples: see Tutorials (pre‑ and post‑processing).

• API details: see API Reference.

Contents:

• Getting started with IndenToolBox
  • Install VSCode
  • Install GIT
  • Setup Python
  • Run Jupyter Lab
• Tutorials
  • Pre-Processing (examples/pre_processing)
  • Post-Processing (examples/post_processing)
• API Reference
  • Batch class
  • Test class
  • Step classes
  • Tip classes
  • Metaclasses
  • Post-processing
• About the Project
  • Goals
  • History
  • What you can do with indentoolbox
  • Who is it for?
  • Design choices
  • Team and credits
  • Learn more

Indices and tables

• Index

• Module Index

• Search Page