security-advisories VS JGAAP

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

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
security-advisories JGAAP
3 4
12 253
- -1.2%
3.4 4.2
5 months ago 11 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.

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.

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.

What are some alternatives?

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

signald

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

nelson - Automated, multi-region container deployment

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

SuperStyl - Supervised Stylometry

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

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

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.

Mailcow - mailcow: dockerized - 🐮 + 🐋 = 💕

security-tools