Metadata-Version: 2.1
Name: vallenae
Version: 0.6.0
Summary: Extract and analyze Acoustic Emission measurement data
Home-page: https://github.com/vallen-systems/pyVallenAE
Author: Daniel Altmann, Lukas Berbuer (Vallen Systeme GmbH)
Author-email: software@vallen.de
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/vallen-systems/pyVallenAE/issues
Project-URL: Source, https://github.com/vallen-systems/pyVallenAE
Keywords: Vallen,Acoustic Emission,AMSY,WaveLine,data acquisition,analysis,timepicker,SQLite,pridb,tradb,trfdb
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: docs
Provides-Extra: tests
Provides-Extra: tools
Provides-Extra: dev
License-File: LICENSE.txt

# Vallen AE Python Tools

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Python tools to extract and analyze Acoustic Emission measurement data:

- vallenae.**io**: 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

---
**Note**: A free/lite version of the Vallen AE Suite is available since the release R2020.
If offers the basic features for real-time data visualization and analysis with VisualAE.
So you could write you own pridb/tradb files and have real-time visualizations with VisualAE.

The Vallen AE Suite can be downloaded here: https://www.vallen.de/downloads/

---

## Documentation

For full documentation and examples, please visit http://pyvallenae.rtfd.io.

## Installation

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`.

## Contributing

Feature requests, bug reports and fixes are always welcome!

After cloning the repository, you can easily install the development environment and tools 
([pylint](https://www.pylint.org), [mypy](http://mypy-lang.org), [pytest](https://pytest.org), [tox](https://tox.readthedocs.io))
with:

```
git clone https://github.com/vallen-systems/pyVallenAE.git
cd pyVallenAE
pip install -e .[dev]
```

And run the test suite with tox:

```
tox
```

The documentation is built with [sphinx](https://www.sphinx-doc.org):

```
cd docs
sphinx-build . _build
```


