Skip to main content

Extract and analyze Acoustic Emission measurement data

Project description

Vallen AE Python Tools

Build Status Documentation Status Coverage Status License: MIT PyPI PyPI - Python Version Code style: black

Python tools to extract and analyze Acoustic Emission measurement data:

  • Reading (and writing) of Vallen Systeme SQLite database files (*.pridb, *.tradb, *.trfdb)
  • vallenae.features: Extraction of Acoustic Emission features
  • vallenae.timepicker: Timepicking algorithms for arrival time estimations


For full documentation and examples, please visit


Install the latest version from PyPI:

pip install vallenae

Please note, that vallenae requires Python 3.6 or newer. On Linux systems, pip is usually mapped to Python 2, so use pip<version> (e.g. pip3 or pip3.7) instead. Alternatively, you can run pip from your specific Python version with python<version> -m pip.


Feature requests, bug reports and fixes are always welcome!

After cloning the repository, you can easily install the development environment and tools (pylint, mypy, pytest, tox) with:

git clone
cd pyVallenAE
pip install -e .[dev]

And run the test suite with tox:


The documentation is built with sphinx:

cd docs
sphinx-build . _build

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for vallenae, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size vallenae-0.2.1.tar.gz (23.2 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page