semvec/pypi-packages huggingface dataset:
tpnetwork 1.2.0a2
A python network module
Requires Python: >=3.5

## tpnetwork

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A python network module

## Documentation

tpnetwork module is separated in severals sub-modules to manage all your network devices.
More information on [this page](https://github.com/tomarrok/tpnetwork/wiki).

### sub-modules
- network (main)
- fortinet : <em>In progress (Available in the last alpha version - v1.2.0a2)</em>

## Install
```
sudo apt install python3-pip
pip3 install tpnetwork
```

### Requires:
- Python : `v3.7+`

## Author
- [Thomas Pajon](mailto:th.pajon45@gmail.com)
behalearn 3.0.1
Library for processing and visualizing behavioral biometric data

# behalearn

behalearn is a library that simplifies data preparation and feature extraction for behavioral biometric data
(such as mouse movements, touch movements, accelerometer data).
Such data may be subsequently used for e.g. implicit user authenticaton.

behalearn also provides a handful of simple, interactive visualizations of raw data, pre-processed data
and reports of prediction results (such as the [DET curve](https://en.wikipedia.org/wiki/Detection_error_tradeoff)).

# Installation
The source code is currently hosted on [GitLab](https://gitlab.com/behametrics/behalearn).

The easiest way to install behalearn is via `pip`:
```
pip install behalearn
```

# Usage
Simply import individual behalearn modules or their functions/classes, for example:
```
from behalearn.features import FeatureExtractor
```

The [DEMO.ipynb](https://gitlab.com/behametrics/behalearn/-/blob/master/DEMO.ipynb) file shows examples of basic behalearn usage.

# Documentation
The official documentation and structure of the library is available [here](https://behametrics.gitlab.io/behalearn/).

# License
Source code is provided under the [MIT License](LICENSE).