- Automatically provides titles and descriptions from linked websites
- Import and export bookmarks in Netscape HTML format
- Bookmark archive
- Extensions for [Firefox](https://addons.mozilla.org/de/firefox/addon/linkding-extension/) and [Chrome](https://chrome.google.com/webstore/detail/linkding-extension/beakmhbijpdhipnjhnclmhgjlddhidpe)
The easiest way to run linkding is to use [Docker](https://docs.docker.com/get-started/). The Docker image is compatible with ARM platforms, so it can be run on a Raspberry Pi.
However for **production use** you also want to mount a data folder on your system, so that the applications database is not stored in the container, but on your hosts file system. This is safer in case something happens to the container and makes it easier to update the container later on, or to run backups. To do so you can use the following extended command, where you replace `{host-data-folder}` with the absolute path to a folder on your system where you want to store the data:
If everything completed successfully the application should now be running and can be accessed at http://localhost:9090, provided you did not change the port mapping.
If you are using a Linux system you can use the following [shell script](https://github.com/sissbruecker/linkding/blob/master/install-linkding.sh) for an automated setup. The script does basically everything described above, but also handles updating an existing container to a new application version (technically replaces the existing container with a new container built from a newer image, while mounting the same data folder).
To install linkding using docker-compose you can use the `docker-compose.yml` file. Copy the `.env.sample` file to `.env` and set your parameters, then run:
The command will prompt you for a secure password. After the command has completed you can start using the application by logging into the UI with your credentials.
If you can not or don't want to use Docker you can install the application manually on your server. To do so you can basically follow the steps from the *Development* section below while cross-referencing the `Dockerfile` and `bootstrap.sh` on how to make the application production-ready.
The application runs in a web-server called [uWSGI](https://uwsgi-docs.readthedocs.io/en/latest/) that is production-ready and that you can expose to the web. If you don't know how to configure your server to expose the application to the web there are several more steps involved. I can not support support the process here, but I can give some pointers on what to search for:
- open the port that the application is running on in your servers firewall
- depending on your network configuration, forward the opened port in your network router, so that the application can be addressed from the internet using your public IP address and the opened port
The application provides a REST API that can be used by 3rd party applications to manage bookmarks. Check the [API docs](docs/API.md) for further information.
The default timeout for requests is 60 seconds, after which the application server will cancel the request and return the above error.
Depending on the system that the application runs on, and the number of bookmarks that need to be imported, the import may take longer than the default 60 seconds.
The application is open source, so you are free to modify or contribute. The application is built using the Django web framework. You can get started by checking out the excellent Django docs: https://docs.djangoproject.com/en/3.0/. The `bookmarks` folder contains the actual bookmark application, `siteroot` is the Django root application. Other than that the code should be self-explanatory / standard Django stuff 🙂.
### Prerequisites
- Python 3
- Node.js
### Setup
Create a virtual environment for the application (https://docs.python.org/3/tutorial/venv.html):
- [linkding-extension](https://github.com/jeroenpardon/linkding-extension) Chromium compatible extension that wraps the linkding bookmarklet. Tested with Chrome, Edge, Brave. By [jeroenpardon](https://github.com/jeroenpardon)