shivammathur/ippy

:rocket: Ping IP addresses and domains in parallel to find the accessible and inaccessible ones.

🚀 IPpy

Parallel testing of IP addresses and domains in python. Reads IP addresses and domains from a CSV file and gives two lists of accessible and inaccessible ones. Refer to Usage to see how to use this.

🎉 About

• Compatible with both Python 2 and 3.
• Testing of IPs and domains is done in parallel.
• By default there are 4 Workers.
• All Workers work on an input Queue and a output Queue.

🆎 Modes

• verbose - if true, ping output will be displayed.
• output - json or csv

✨ Support

• Windows, Linux and macOS are supported.
• Supports both IPv4 and IPv6 IPs, and domain names.

# Examples
127.0.0.1
::1
localhost

⚡ Install

$ pip install ippy

📝 Usage

# Create IPpy instance
ippy_obj = ippy.Ippy()

# Set config - verbose, output, num_workers
# verbose - True or False
# output - csv or json
ippy_obj.set_config(True, 'csv', 4)

# Set Input File
ippy_obj.set_file(file='ip_list.csv')

# Run IPpy
ippy_obj.run()

# Get Results
output = ippy_obj.result()
print(output)

🚨 Tests

To run the tests, first install tox.

$ pip install tox

then run tox from the project root directory.

$ tox

📜 License

The scripts and documentation in this project are released under the MIT License. This project has multiple dependencies and their licenses can be found in their respective repositories.

👍 Contributions

Contributions are welcome! See Contributor's Guide.

💖 Support this project

• Please star the project and share it.
• Consider supporting the project using GitHub sponsors.

ippy's Issues

Dependabot couldn't authenticate with https://pypi.python.org/simple/

Dependabot couldn't authenticate with https://pypi.python.org/simple/.

You can provide authentication details in your Dependabot dashboard by clicking into the account menu (in the top right) and selecting 'Config variables'.

View the update logs.

Parellel processing or Round robin

https://github.com/schweikert/fping
fping uses round robin queue for processing. Does parallel processing alone give better results over it in case of large number of IPs?

FlintCI pycodestyle service available

Hi, FlintCI creator here! 😃

I'm opening this issue because I saw you activate FlintCI on your repo (and thank you for that!).

Just telling you that you can activate the pycodestyle (PEP8) service right now. See the documentation: https://flintci.io/docs#pycodestyle

You can start using it with this tiny .flintci.yml configuration:

services:
  pycodestyle: true

I'm also working on PyLint. Help would be greatly appreciated here: https://gitlab.com/flintci/flintci/issues/153

Happy coding! 👍