semvec/pypi-packages huggingface dataset:
harreveltools 0.0.5
This package is the result of sweat and tears
Requires Python: >=3.8

Hello future me,

in order to update your package, check out this tutorial

https://packaging.python.org/en/latest/tutorials/packaging-projects/


Or in short, run the following commands

'''python3 -m pip install --upgrade build
python3 -m pip install --upgrade twine

python3 -m build
python3 -m twine upload --skip-existing dist/*'''
netvulnscan 0.1.2
A package to discover network devices, scan ports and services, and find vulnerabilities.
Requires Python: >=3.6

# NetVulnScan

NetVulnScan is a Python package designed to discover network devices, scan their ports and services, and identify vulnerabilities.

## Features

- **Network Discovery**: Identify devices on your network using ARP requests.
- **Port Scanning**: Scan a range of ports on discovered devices.
- **Service Detection**: Detect services running on the scanned ports.
- **Vulnerability Scanning**: Check for known vulnerabilities in the detected services.

## Installation

To install the package, use pip:

```bash
pip install netvulnscan

## Usage

Use the netdev_discovery function to find devices on network.

from netvulnscan import netdev_discovery                            # Import the network discovery function from the netvulnscan package

network = '192.168.1.0/24' # Replace with your network              # Specify the network to scan (e.g., the 192.168.1.0/24 network)
devices = discover_devices(network)                         # Discover devices on the specified network
for device in devices:                                              # Loop through the discovered devices and print their IP and MAC addresses
    print(f"IP: {device['ip']}, MAC: {device['mac']}") 

Use the netdev_scan funtion to scan ports on discovered devices.

from netvulnscan import netdev_scan                                 # Import the port scanning function from the netvulnscan package

# Specify the target IP address to scan for open ports
ip = '192.168.1.1'  # Replace with the target IP            
ports = scan_ports(ip)                                  # Scan the ports on the specified IP address
for port in ports:                                                      # Loop through the scanned ports and print their port number and state (open/closed)
    print(f"Port: {port['port']}, State: {port['state']}")

from netvulnscan import netdev_detect_services                  # Import the service detection function from the netvulnscan package

services = detect_services(ip)                      # Detect services running on the specified IP address
for service in services:                                                        # Loop through the detected services and print their port number, name, and version
    print(f"Port: {service['port']}, Service: {service['name']}, Version: {service['version']}")

from netvulnscan import netdev_vuln             # Import the vulnerability scanning function from the netvulnscan package

vulnerabilities = scan_vulnerabilities(ip)          # Scan the specified IP address for known vulnerabilities
for port, vulns in vulnerabilities.items():                 # Loop through the scanned vulnerabilities and print their port number and associated vulnerabilities
    print(f"Port: {port}, Vulnerabilities: {vulns}")
pyxu-ldct-reader 1.0.0
Data loader that reads and parses clinical CT sinograms in the LDCT-and-Projection-data repository and map them to Pyxu's XRayTransform
Requires Python: <3.13,>=3.10

pyxu-ldct-reader
================

.. image:: https://img.shields.io/pypi/l/pyxu-ldct-reader.svg?color=green
   :target: https://github.com/EPFL-Center-for-Imaging/pyxu-ldct-reader/raw/main/LICENSE
   :alt: License MIT
.. image:: https://img.shields.io/pypi/v/pyxu-ldct-reader.svg?color=green
   :target: https://pypi.org/project/pyxu-ldct-reader
   :alt: PyPI
.. image:: https://github.com/EPFL-Center-for-Imaging/pyxu-ldct-reader/workflows/tests/badge.svg
   :target: https://github.com/EPFL-Center-for-Imaging/pyxu-ldct-reader/actions
   :alt: tests
.. image:: https://codecov.io/gh/EPFL-Center-for-Imaging/pyxu-ldct-reader/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/EPFL-Center-for-Imaging/pyxu-ldct-reader
   :alt: codecov
.. .. image:: https://img.shields.io/endpoint?url=https://pyxu-org.github.io/fair/shields/pyxu-ldct-reader
..    :alt: Pyxu score
..    :target: https://pyxu-org.github.io/fair/score.html

Data loader that reads and parses clinical CT sinograms in the LDCT-and-Projection-data repository and map them to Pyxu's XRayTransform
---------------------------------------------------------------------------------------------------------------------------------------

This `Pyxu`_ plugin was generated with `Cookiecutter`_ using the `cookiecutter-pyxu`_ template.

.. Don't miss the `contributing-guide`_ to set up your new package and to review the Pyxu `developer notes`_.

Installation
------------

You can install ``pyxu-ldct-reader`` via `pip`_:

.. code-block:: bash

   pip install pyxu-ldct-reader


To install latest development version :

.. code-block:: bash

   pip install git+https://github.com/EPFL-Center-for-Imaging/pyxu-ldct-reader.git


Contributing
------------

Contributions are very welcome. Tests can be run with `tox`_, please ensure
the coverage at least stays the same before you submit a pull request.

License
-------

Distributed under the terms of the `MIT`_ license,
``pyxu-ldct-reader`` is free and open source software

Issues
------

If you encounter any problems, please `file an issue`_ along with a detailed description.

.. _Pyxu: https://github.com/pyxu-org/pyxu
.. _contributing-guide: https://pyxu-org.github.io/fair/contribute.html
.. _developer notes: https://pyxu-org.github.io/fair/dev_notes.html
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _MIT: http://opensource.org/licenses/MIT
.. _BSD-3: http://opensource.org/licenses/BSD-3-Clause
.. _GNU GPL v3.0: http://www.gnu.org/licenses/gpl-3.0.txt
.. _GNU LGPL v3.0: http://www.gnu.org/licenses/lgpl-3.0.txt
.. _Apache Software License 2.0: http://www.apache.org/licenses/LICENSE-2.0
.. _Mozilla Public License 2.0: https://www.mozilla.org/media/MPL/2.0/index.txt
.. _cookiecutter-pyxu: https://github.com/pyxu-org/cookiecutter-pyxu

.. _file an issue: https://github.com/EPFL-Center-for-Imaging/pyxu-ldct-reader/issues

.. _tox: https://tox.readthedocs.io/en/latest/
.. _pip: https://pypi.org/project/pip/