semvec/pypi-packages huggingface dataset:
pentest-report-generator 0.1.6
Generate penetration testing report from markdown files
License: MIT
Requires Python: >=3.10,<4.0
Keywords: HTML,Markdown,PDF,Penetration test

# pentest-report-generator

Generate HTML and PDF penetration testing reports from markdown files.

## Usage

```
Usage: genpenrep [OPTIONS]

Options:
  -s, --sources DIRECTORY  Directory with .md source files
  -o, --output DIRECTORY   Directory to write output files
  -c, --compress           Create .zip archive with the HTML source files
  --only-pdf               Do not output HTML files
  --only-html              Do not output PDF file
  --help                   Show this message and exit.
```

You can see an example penetration test and the output in the `example` directory.

## Setup

```bash
# Why is pipx better than pip? https://pypa.github.io/pipx/#how-is-it-different-from-pip
pipx install pentest-report-generator

pip install pentest-report-generator
```

The software is also available as a [Docker container](https://hub.docker.com/r/staticnoise/pentest-report-generator/tags).

```bash
docker run -it --rm -v "$PWD/sources:/data" -v "$PWD/output:/output" 'staticnoise/pentest-report-generator' -s /data -o /output
```

## Development

```bash
pipx install --editable ./
```

### Docker

```
podman login docker.io
poetry build

# update Dockerfile and bump-up the version number if necessary
podman build -t docker.io/staticnoise/pentest-report-generator .

# test the created docker container
podman run -it --rm -v "$PWD/sources:/data:z" -v "$PWD/output:/output:z" 'docker.io/staticnoise/pentest-report-generator' -s /data -o /output

# publish the Docker image
podman push docker.io/staticnoise/pentest-report-generator
```

### Poetry

```bash
poetry config repositories.pypi https://upload.pypi.org/legacy/

# you will be prompted for password
poetry config http-basic.pypi staticnoise

poetry build

poetry publish --dry-run
poetry publish
```

## License

```
Copyright (c) 2022-2023 Adam Chovanec

Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
```
htithermal 0.0.1
A package to plot AI/ML metrics at ease
License: MIT
Requires Python: >=3.7

# Hti Thermal
This package is used to extract thermal raw datapoints from rJpeg image capture using Hti-Xintai HT-19 Thermal Imager.

## How to use
_After installing the package:_ <br>

**import htithermal as ht**

_Then use following commands:_
### Extract thermal datapoint from images
**themperature_array = ht.convertRjpegToTemperature('C:/Users/gsome/Desktop/Hti-Images/20230417-100642.jpg')<br>**

### Extract all thermal datapoint from images in given directory
**ht.imagesToThermals(input_dir='C:\\Users\\gsome\\Desktop\\Hti-Images')<br>**

### Visualize thermal image
**import matplotlib.pyplot as plt<br>**
**import pandas as pd<br>**
**plt.imshow(themperature_array)<br>**
**plt.show()<br>**