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README.md

@ -125,7 +125,7 @@ _Related: [Database Management](#database-management), [Personal Dashboards](#pe
- [AWStats](http://www.awstats.org/) - Generate statistics from web, streaming, ftp or mail server logfiles. ([Demo](https://www.awstats.org/#DEMO), [Source Code](https://github.com/eldy/awstats)) `GPL-3.0` `Perl`
- [Countly Community Edition](https://count.ly) - Real time mobile and web analytics, crash reporting and push notifications platform. ([Source Code](https://github.com/countly)) `AGPL-3.0` `Nodejs/Docker`
- [Druid](http://druid.io/) - Distributed, column-oriented, real-time analytics data store. ([Source Code](https://github.com/apache/druid)) `Apache-2.0` `Java/Docker`
- [EDA](https://eda.jortilles.com/en/jortilles-english/) - Web application for data analysis and visualization. ([Source Code](https://github.com/jortilles/EDA)) `AGPL-3.0` `Nodejs/Docker`
- [EDA](https://github.com/jortilles/EDA) - Web application for data analysis and visualization. `AGPL-3.0` `Nodejs/Docker`
- [GoAccess](http://goaccess.io/) - Real-time web log analyzer and interactive viewer that runs in a terminal. ([Source Code](https://github.com/allinurl/goaccess)) `GPL-2.0` `C`
- [GoatCounter](https://www.goatcounter.com) - Easy web statistics without tracking of personal data. ([Source Code](https://github.com/arp242/goatcounter)) `EUPL-1.2` `Go`
- [Litlyx](https://litlyx.com) - All-in-one Analytics Solution. Setup in 30 seconds. Display all your data on an AI-powered dashboard. Fully self-hostable and GDPR compliant. ([Source Code](https://github.com/Litlyx/litlyx)) `Apache-2.0` `Docker`

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