JGAAP VS security-advisories

Compare JGAAP vs security-advisories and see what are their differences.

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JGAAP security-advisories
4 3
253 12
-1.2% -
4.2 3.4
11 months ago 5 months ago
Java
- -
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.

JGAAP

Posts with mentions or reviews of JGAAP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-13.

security-advisories

Posts with mentions or reviews of security-advisories. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-21.

What are some alternatives?

When comparing JGAAP and security-advisories you can also consider the following projects:

JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning

signald

nelson - Automated, multi-region container deployment

SuperStyl - Supervised Stylometry

blog - The Vespa blog - https://blog.vespa.ai

log4jScanner - log4jScanner provides the ability to scan internal subnets for vulnerable log4j web services

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

log4j-scan - A fully automated, accurate, and extensive scanner for finding log4j RCE CVE-2021-44228

security-tools

Mailcow - mailcow: dockerized - 🐮 + 🐋 = 💕