README.md

@@ -698,6 +698,7 @@ _See also: [dbdb.io - Database of Databases](https://dbdb.io/)_
 - [CloudBeaver](https://dbeaver.com/) - Manage databases, supports PostgreSQL, MySQL, SQLite and more. A web/hosted version of DBeaver. ([Source Code](https://github.com/dbeaver/cloudbeaver)) `Apache-2.0` `Docker`
 - [Databunker](https://databunker.org/) - Network-based, self-hosted, GDPR compliant, secure database for personal data or PII. ([Source Code](https://github.com/securitybunker/databunker)) `MIT` `Docker`
 - [Datasette](https://datasette.io/) - Explore and publish data with easy import and export and database management. ([Demo](https://global-power-plants.datasettes.com/global-power-plants/global-power-plants), [Source Code](https://github.com/simonw/datasette)) `Apache-2.0` `Python/Docker`
+- [Directus](https://directus.io/) - An Instant App & API for your SQL Database. Directus wraps your new or existing SQL database with a realtime GraphQL+REST API for developers, and an intuitive admin app for non-technical users. ([Source Code](https://github.com/directus/directus)) `GPL-3.0` `Nodejs/Docker`
 - [Evidence](https://evidence.dev) - Code-based BI tool. Write reports using SQL and markdown and they render as a website. ([Source Code](https://github.com/evidence-dev/evidence)) `MIT` `Nodejs`
 - [Limbas](https://www.limbas.com/en/) - Database framework for creating database-driven business applications. As a graphical database frontend, it enables the efficient processing of data stocks and the flexible development of comfortable database applications. ([Source Code](https://github.com/limbas/limbas)) `GPL-2.0` `PHP`
 - [Mathesar](https://mathesar.org/) - Intuitive UI to manage data collaboratively, for users of all technical skill levels. Built on Postgres – connect an existing DB or set up a new one. ([Source Code](https://github.com/centerofci/mathesar)) `GPL-3.0` `Docker/Python`
@@ -2089,6 +2090,7 @@ _Related: [Task Management & To-do Lists](#task-management--to-do-lists), [Softw
 - [Just Short It!](https://github.com/miawinter98/just-short-it) - A KISS, single-user URL shortener that runs in just one container. `MIT` `Docker`
 - [Kutt](https://kutt.it) - Modern URL shortener with support for custom domains and custom URLs. ([Demo](https://kutt.it), [Source Code](https://github.com/thedevs-network/kutt)) `MIT` `Nodejs/Docker`
 - [liteshort](https://ls.ikl.sh/) - User-friendly, actually lightweight, and configurable URL shortener. ([Source Code](https://git.ikl.sh/132ikl/liteshort)) `MIT` `Python/deb`
+- [Lstu](https://github.com/ldidry/lstu) - Lightweight URL shortener. `WTFPL` `Perl/Docker`
 - [rs-short](https://git.42l.fr/42l/rs-short) - A lightweight link shortener written in Rust, with features such as caching, spambot protection and phishing detection. ([Demo](https://s.42l.fr/)) `MPL-2.0` `Rust`
 - [Shlink](https://shlink.io) - URL shortener with REST API and command line interface. Includes official progressive web application and docker images. ([Source Code](https://github.com/shlinkio/shlink), [Clients](https://shlink.io/apps)) `MIT` `PHP/Docker`
 - [Simple-URL-Shortener](https://github.com/azlux/Simple-URL-Shortener) - KISS URL shortener, public or private (with account). Minimalist and lightweight. No dependencies. ([Demo](https://u.azlux.fr)) `MIT` `PHP`

non-free.md

@@ -107,7 +107,6 @@
 **[`^        back to top        ^`](##awesome-selfhosted---non-free-software)**
 
 - [Cluster Control](https://severalnines.com/clustercontrol/) - Setup many databases in few clicks with monitoring, load balancing and more. `⊘ Proprietary` `deb/Ansible/Shell/Docker`
-- [Directus](https://directus.io/) - An Instant App & API for your SQL Database. Directus wraps your new or existing SQL database with a realtime GraphQL+REST API for developers, and an intuitive admin app for non-technical users. ([Source Code](https://github.com/directus/directus)) `BUSL-1.1` `Nodejs/Docker`
 - [MindsDB](https://mindsdb.com/) - AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. ([Source Code](https://github.com/mindsdb/mindsdb)) `Elastic-2.0` `Docker/Python`