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| author | nodiscc <nodiscc@gmail.com> | 2021-07-01 16:17:13 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-07-01 16:17:13 +0000 |
| commit | 4968e506d50483638dbeabb67105a14ca4ded90b (patch) | |
| tree | 068b5d221fdc3c947352fe04bfdfaab787a50b15 | |
| parent | Merge pull request #2574 from stefanjf/patch-3 (diff) | |
| parent | lancache: update language/platform (diff) | |
| download | awesome-selfhosted-4968e506d50483638dbeabb67105a14ca4ded90b.tar.gz awesome-selfhosted-4968e506d50483638dbeabb67105a14ca4ded90b.zip | |
Merge pull request #2569 from kokomo123/patch-1
Add Lancache to Misc/Other
| -rw-r--r-- | README.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -1083,6 +1083,7 @@ _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://lancache.net) `⚠` - LAN Party game caching made easy. ([Source Code](https://github.com/lancachenet/monolithic)) `MIT` `Docker/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` |