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Now with OCI container images.


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“TUI has been reworked and now uses curses, which allows us to do more complex layouts as well as give a new but familiar look and feel.”


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The default language version for C compilation was set to -std=gnu23 from -std=gnu17
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Anki provides the option the self host your own sync server. It is an advanced feature for experienced users.
SYNC_USER1=user:pass anki –syncserver from the command line starts the sync server. If you use a firewall such as ufw you have to adjust the rules to allow IP addresses from 192.168.0.xxx or 192.168.1.xxx with:
ufw allow from 192.168.0.0/24
or
ufw allow from 192.128.1.0/24
Then you get a message like this, indicating a functioning sync server:
Anki starting…
2024-11-16T18:31:41.598515Z INFO listening addr=0.0.0.0:8080
In order to sync your Anki clients towards this server you have to set a URL link to the server’s IP address (in my case 192.168.1.195 => http://192.168.1.195:8080). The server listens to port 8080 as default.

Another option to set a sync server is using a docker container. You can find a sample Dockerfile under the /docs/syncserver path of the git repository: https://github.com/ankitects/anki/tree/main/docs/syncserver
The first step is building the image using:
sudo docker buildx build docs/syncserver/<Dockerfile> –no-cache –build-arg ANKI_VERSION=<version> -t anki-sync-server .
(Please use the <> brackets !!! as well an version available in https://github.com/ankitects/anki/releases, because the script searches through release tags !!!
You should execute this command from the Dockerfile PATH
The build command is deprecated !!! Use buildx)
The command at the end should look like this:
sudo docker build ~/syncserver/<Dockerfile> –no-cache –build-arg ANKI_VERSION=24.06.3 -t anki-sync-server

The second step is to run the docker container with:
docker run -d -e “SYNC_USER1=admin:admin” -p 8080:8080 –name anki-sync-server anki-sync-server
You can check the container’s status with sudo docker ps -a

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The best open-source Professional Photo Management tool.
- More than 160 bugs have been fixed (https://bugs.kde.org/buglist.cgi?f1=cf_versionfixedin&limit=0&list_id=2536450&o1=equals&order=bug_id&product=digikam&v1=8.5.0)
- Improved localization
- Updated LibRAW and ExifTool
- Apple Silicon package
- YuNet is now the default model for face detection
- and many more !!

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Before the 6.2.4 bugfix release of 2024-11-26.


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“Fortran is a powerful programming language for scientific and engineering high performance computing applications and is core to many, some very crucial, HPC codebases”
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Tools→AutoCorrect→AutoCorrect Options…→Word Completion tab → Accept with: Tab
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With support for Intel’s Arrow Lake (Core Ultra Series 2) and Ryzen 9000 series (Zen5-based).








