shennina VS nasty_ransomware.py

Compare shennina vs nasty_ransomware.py and see what are their differences.

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shennina nasty_ransomware.py
2 1
467 0
- -
10.0 10.0
over 1 year ago over 1 year ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

shennina

Posts with mentions or reviews of shennina. We have used some of these posts to build our list of alternatives and similar projects.

nasty_ransomware.py

Posts with mentions or reviews of nasty_ransomware.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-07.

What are some alternatives?

When comparing shennina and nasty_ransomware.py you can also consider the following projects:

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

nasty_trojan.py - Light Trojan for educational purposes ๐Ÿ˜ˆ ๐Ÿงข

MLflow - Open source platform for the machine learning lifecycle

kalify - Get some Kali tools on a more classic Debian-based distro. ๐Ÿงข

clip-as-service - ๐Ÿ„ Scalable embedding, reasoning, ranking for images and sentences with CLIP

EvilOSX - An evil RAT (Remote Administration Tool) for macOS / OS X.

spaCy - ๐Ÿ’ซ Industrial-strength Natural Language Processing (NLP) in Python

nasty_brave.py - Stealing Brave History for educational purposes ๐Ÿ˜ˆ ๐Ÿงข

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.