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author | awesome-selfhosted-bot <github-actions@github.com> | 2024-12-14 10:59:31 +0000 |
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committer | awesome-selfhosted-bot <github-actions@github.com> | 2024-12-14 10:59:31 +0000 |
commit | 437f338cf0afeb978bb69e611619e05c2fe18426 (patch) | |
tree | 0d5fd042d27ffff3ba8df995d439e5e87214aaba | |
parent | [bot] build markdown from awesome-selfhosted-data 754c9c7 (diff) | |
download | awesome-selfhosted-437f338cf0afeb978bb69e611619e05c2fe18426.tar.gz awesome-selfhosted-437f338cf0afeb978bb69e611619e05c2fe18426.zip |
[bot] build markdown from awesome-selfhosted-data cfac2f6
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -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` |