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| author | kokomo123 <70863536+kokomo123@users.noreply.github.com> | 2021-06-07 01:49:20 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-06-07 01:49:20 +0000 |
| commit | 0a50e845a231a60171df584ce8a0235b10a7b1d7 (patch) | |
| tree | 400203d2c04a206b1611eea97a81dfa644e1b351 | |
| parent | Changed links around (diff) | |
| download | awesome-selfhosted-0a50e845a231a60171df584ce8a0235b10a7b1d7.tar.gz awesome-selfhosted-0a50e845a231a60171df584ce8a0235b10a7b1d7.zip | |
Potentially fixed CI problems?
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -1085,7 +1085,7 @@ _See also <https://en.wikipedia.org/wiki/List_of_streaming_media_systems>, <http - [Journal](https://github.com/inoda/journal) - Simple journaling with encrypted entries and sharing capabilities. `MIT` `Ruby` - [Kimai](https://www.kimai.org/) - Kimai is a free & open source timetracker. It tracks work time and prints out a summary of your activities on demand. ([Demo](https://www.kimai.org/demo/), [Source Code](https://github.com/kevinpapst/kimai2/)) `MIT` `PHP` - [King Phisher](https://github.com/securestate/king-phisher) - King Phisher is a tool for testing and promoting user awareness by simulating real world phishing attacks. `BSD-3-Clause` `Python` -- [Lancache](https://github.com/lancachenet/monolithic) `⚠` - LAN Party game caching made easy. `MIT` `Shell` +- [Lancache](https://lancache.net) `⚠` - LAN Party game caching made easy. ([Source Code](https://github.com/lancachenet/monolithic)) `MIT` `Shell` - [MailyGo](https://codeberg.org/jlelse/MailyGo) - MailyGo is a small tool written in Go that allows to send HTML forms, for example from static websites without a dynamic backend, via email. `MIT` `Go` - [MalwareMultiScan](https://github.com/mindcollapse/MalwareMultiScan) - Self-hosted VirusTotal-like for scanning files with multiple antiviruses running in a Docker. `MIT` `C#` - [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source self hosted AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. `GPL-3.0` `Python` |