From 0d3964dd6f5b01dcbf1c30074467d1f85f3a211d Mon Sep 17 00:00:00 2001 From: Matthew Elwell Date: Fri, 16 Jun 2023 17:55:22 +0100 Subject: [PATCH] Add Flagsmith to miscellaneous section (#3847) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c6467ab2..568c55bb 100644 --- a/README.md +++ b/README.md @@ -1330,6 +1330,7 @@ Software that does not fit in another section. - [DomainMOD](https://domainmod.org) - Application to manage your domains and other internet assets in a central location. DomainMOD includes a Data Warehouse framework that allows you to import your WHM/cPanel web server data so that you can view, export, and report on your data. ([Demo](https://demo.domainmod.org), [Source Code](https://github.com/domainmod/domainmod)) `GPL-3.0` `PHP` - [DOMJudge](https://www.domjudge.org/) - A system for running a programming contest, like the ICPC regional and world championship programming contests. ([Demo](https://www.domjudge.org/demo), [Source Code](https://github.com/DOMjudge/domjudge)) `GPL-2.0/BSD-3-Clause/MIT` `PHP` - [F-Droid](https://f-droid.org) - Server tools for maintaining an F-Droid repository system. ([Source Code](https://gitlab.com/fdroid/fdroidserver)) `AGPL-3.0` `Python/Docker` +- [Flagsmith](www.flagsmith.com) - Flagsmith provides a dashboard, API and SDKs for adding Feature Flags to your applications. Alternative to LaunchDarkly. ([Source Code](https://github.com/flagsmith/flagsmith)) `BSD-3-Clause` `Docker` - [google-webfonts-helper](https://github.com/majodev/google-webfonts-helper) `⚠` - Hassle-Free Way to Self-Host Google Fonts. Get eot, ttf, svg, woff and woff2 files + CSS snippets. ([Demo](https://gwfh.mranftl.com/fonts)) `MIT` `Nodejs` - [Gophish](https://getgophish.com/) - Gophish is a powerful, open-source phishing framework that makes it easy to test your organization's exposure to phishing. ([Source Code](https://github.com/gophish/gophish)) `MIT` `Go/Docker` - [graph-vl](https://github.com/verifid/graph-vl) - Identity document verification using Machine Learning and GraphQL. `MIT` `Python`