# PsyTools

> Part of [LISQM](https://zhenxianli.github.io/LISQM/) (List of Implementations of Sound Quality Metrics), a list of open-source implementations of psychoacoustic metrics. Data as of 2026-10-28. Web page: https://zhenxianli.github.io/LISQM/projects/psytools.html

**Status unknown.** The repository cannot be opened without a login. It redirects to the TU Graz GitLab login page, while the author's profile page on the same server is public (checked 2026-10-07). What it implements has not been verified, so it is not listed under the metrics.

Python toolbox for psychoacoustic analysis from TU Graz, described in a 2026 student conference paper.

- **Repository:** https://gitlab.tugraz.at/11F34386B3DC1474/psytools
- **Language:** Python
- **Kind:** Library/Toolbox (Functions to call from your own code: a Python package, a MATLAB toolbox, or a C, C++, C#, Rust or Julia library.)
- **Group:** status unknown (Projects whose code could not be opened, for example because the repository needs a login. What they implement is unverified, so they are listed with what they claim and not under the metrics.)
- **Licence:** unknown
- **Latest release:** unknown
- **Last commit:** unknown (unknown)
- **Maintainers:** Eugen-Maximilian Stangl, Julia Donnerer
- **AI assistance:** not stated
- **Paper:** Stangl, E.-M., & Donnerer, J. (2026). PsyTools: An open-source Python toolbox for standardized psychoacoustic analysis. *POSTERS 2026: Proceedings of the International Student Scientific Conference Poster*, Czech Technical University in Prague, 172–173. https://tugraz.elsevierpure.com/en/publications/psytools-an-open-source-python-toolbox-for-standardized-psychoaco/
- **How to cite:** Cite the paper above. Name the version or commit you used.
- **Entry checked:** 2026-10-07

## What it is said to implement

A conference paper describes an open-source Python toolbox for standardised psychoacoustic analysis: loudness, sharpness, fluctuation strength, roughness, tonality, psychoacoustic annoyance, LAeq and LAmax, following ISO 532-1, DIN 45692 and ECMA-418, with the Zwicker model and the Sottek Hearing Model.

As described in the sources below; the code itself could not be checked.

## Sources

- https://tugraz.elsevierpure.com/en/publications/psytools-an-open-source-python-toolbox-for-standardized-psychoaco/
- https://gitlab.tugraz.at/11F34386B3DC1474/psytools