best-of-ml-python VS Awesome-WAF

Compare best-of-ml-python vs Awesome-WAF and see what are their differences.

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best-of-ml-python Awesome-WAF
16 3
15,302 5,917
1.3% -
7.9 2.5
6 days ago 10 months ago
Python Python
Creative Commons Attribution Share Alike 4.0 Apache License 2.0
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.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

Awesome-WAF

Posts with mentions or reviews of Awesome-WAF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-24.

What are some alternatives?

When comparing best-of-ml-python and Awesome-WAF you can also consider the following projects:

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

wafw00f - WAFW00F allows one to identify and fingerprint Web Application Firewall (WAF) products protecting a website.

dtale - Visualizer for pandas data structures

XSStrike - Most advanced XSS scanner.

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

awesome-honeypots - an awesome list of honeypot resources

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

abuse-ssl-bypass-waf - Bypassing WAF by abusing SSL/TLS Ciphers

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

awesome-scala - A community driven list of useful Scala libraries, frameworks and software.