semvec/pypi-packages huggingface dataset:
handsome 0.1.0
a shiny suit for wrapping fine-looking machine learning models
License: MIT

# handsome

> a shiny suit for wrapping fine-looking machine learning models

[![codecov](https://codecov.io/gh/withtwoemms/handsome/graph/badge.svg?token=7SAGH7XO28)](https://codecov.io/gh/withtwoemms/handsome)
dear.remote-integrity 1.1
The DearBytes remote integrity tool is an IDS (Intrusion Detection System) that keeps track of files on a remote server and logs an event if a file gets added, removed or modified.
License: MIT
Requires Python: >=3.5.0

# DearBytes Remote Integrity Tool
The DearBytes remote integrity tool is an [IDS (Intrusion Detection System)](https://en.wikipedia.org/wiki/Intrusion_detection_system) that keeps track of files on a remote server
and logs an event if a file gets added, removed or modified.

## Dependencies
* **Python version**: 3.6.0+

## Installation
To install the tool, clone the source into a directory of choice and run the following commands:

### Linux / OSX

    $ pip install virtualenv --user     # Install virtualenv (if not installed yet)
    $ virtualenv venv                   # Set up a virtual environment 
    $ source venv/bin/activate          # Activate the virtual environment (do this every time you wish to run the tool)
    $ pip install .                     # Install the package (use -e for development)

### Windows

    C:\Users\You\Integrity> pip install virtualenv --user
    C:\Users\You\Integrity> virtualenv venv
    C:\Users\You\Integrity> .\venv\Scripts\activate.bat
    C:\Users\You\Integrity> pip install .
    
## Usage (Remote Integrity tool)
To use the tool, activate the virtual environment and run the following command:

    $ remote-integrity --config {path to config file}.cfg

## Usage (Database Inspection tool)
To use the database inspection tool, activate the virtual environment and run the following command:

    $ remote-integrity --list {servers|checksums|events}

## Notification example
![Example of a notification](docs/notification.PNG)


## Configuration file format
The tool requires a configuration file to be run, this allows flexibility without having to repeat the same commands every time you use the tool.
The format is as follows:

    # Sample configuration file
    # Usable as template and local development configuration file
    #
    # Copyright (C) 2017 DearBytes B.V. - All Rights Reserved

    [server]
    server_name=Unique name that will be stored in the database
    server_port=22
    server_address=127.0.0.1
    
    [auth]
    auth_username=someone
    auth_private_key=~/.ssh/id_rsa

    [filter]
    scan_php_modules = yes
    start_directory=~/Documents/
    ignore_files=.gitignore
    ignore_directories=.git,fonts
    
    [email]
    email_smtp_host=smtp.domain.com
    email_smtp_user=username
    email_smtp_pass=<password>
    email_recipients=you@email.com,someone@email.com
    email_noreply_address=noreply@example.com
   
    [logging]
    logging_syslog_host=syslog.domain.com
    
    [telegram]
    telegram_api_token={your api token}
    telegram_api_chat_id={your chat id}
    
## Skipping notifications
* **Email notifications:** Leave config field `email_smtp_host` blank
* **Syslog notifications:** Leave config field `logging_syslog_host` blank
* **Telegram notifications:** Leave config field `telegram_api_token` blank
sjk 0.6.1
SJK: Some Jupyter Kernels.
License: MIT
Requires Python: >=3.5

SJK: Some Jupyter Kernels
=========================

A collection of Jupyter_ kernels for several computer algebra systems.

* Singular_
* Macaulay2_
* Mathematica_
* GAP_
* `Risa/Asir`_

.. _Jupyter: https://jupyter.org
.. _Singular: https://www.singular.uni-kl.de
.. _Macaulay2: http://www2.macaulay2.com/Macaulay2
.. _Mathematica: https://www.wolfram.com/mathematica
.. _GAP: https://www.gap-system.org
.. _Risa/Asir: http://www.math.kobe-u.ac.jp/Asir
irisml-tasks-azure-computervision 0.0.9
Azure Computer Vision API tasks for IrisML
License: MIT
Requires Python: >=3.8

# irisml-tasks-azure-computervision

## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 
trademarks or logos is subject to and must follow 
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.