QMiner

QMiner is an analytics platform for large-scale real-time streams containing structured and unstructured data. It is designed for scaling to millions of data points on high-end commodity hardware, providing efficient storage, retrieval and analytics mechanisms with real-time response.

Project homepage

Examples

• Twitter sentiment extraction
• Recommendation system

Prerequisites

node.js v8.x, v6.x, v4.x and npm 5.3 or higher

To test that your node.js version is correct, run node --version and npm --version. Not compatible with nodejs v0.10 or older.

Windows

• Visual C++ Redistributable Packages for Visual Studio 2015 download vcredist_x64.exe for node.js x64 or vcredist_x86.exe for node.js x86.

Install

npm install qminer

Test

node -e "require('qminer'); console.log('OK')"

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Compile from source

• Linux
• Mac OS X
• Windows

Documentation

• Examples
• JavaScript API
  • qm module
  • la module
  • analytics module
• C++ Documentation
• Architecture
• Roadmap
• Mailing list

Acknowledgments

QMiner is developed by AILab at Jozef Stefan Institute, Quintelligence and other contributors.

The authors would like to acknowledge funding from the European Union Seventh Framework Programme, under Grant Agreements 288342 (XLike), 611346 (XLime), 611875 (Symphony), 317534 (Sophocles), 318452 (Mobis), 600074 (NRG4Cast), 619437 (Sunseed), 632840 (FI-Impact) and 612329 (ProaSense).

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 636160-2 (Optimum).

Thanks to Deleaker for supporting open-source projects.