A C++ based data analytics platform for processing large-scale real-time streams containing structured and unstructured data
QMiner is an analytics platform for large-scale real-time streams containing structured and unstructured data. It is designed to for scaling to millions of instances on high-end commodity hardware, providing efficient storage, retrieval and analytics mechanisms with real-time response.
QMiner is developed in collaboration between AILab at Jozef Stefan Institute and Quintelligence.
Prerequisites:
Install:
npm install qminer
Test:
npm install mocha -g
cd node_modules/qminer/test/nodejs
mocha *.js
Install for developers:
git clone https://github.com/qminer/qminer.git
cd qminer
npm install
For debug build use: npm install --debug
Run tests for developers:
npm install mocha -g
cd test/nodejs
mocha *.js
For more detailed installation check the following instructions:
Thanks to Deleaker we find leaks in our project.
FAQs
A C++ based data analytics platform for processing large-scale real-time streams containing structured and unstructured data
The npm package qminer receives a total of 275 weekly downloads. As such, qminer popularity was classified as not popular.
We found that qminer demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
Socket researchers have discovered malicious npm packages targeting crypto developers, stealing credentials and wallet data using spyware delivered through typosquats of popular cryptographic libraries.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.
Security News
A Stanford study reveals 9.5% of engineers contribute almost nothing, costing tech $90B annually, with remote work fueling the rise of "ghost engineers."