BSD Ports

www/py-hyperkitty 1.3.12_2 DragonFly

Web interface to access GNU Mailman v3 archives

System
DragonFly
Repository
DPorts
Maintainer
[email protected] (as in FreeBSD)
License
GPLv3
Categories
python, www
Package size
1873.6 KiB, 10820.8 KiB installed

Description

HyperKitty is an open source Django application under development. It aims to provide a web interface to access GNU Mailman v3 archives.

In the other systems

The newest version among them is 1.3.12, as upstream numbers it.

SystemPortVersionVulnerabilitiesStatusMaintainerLast update
DragonFlywww/py-hyperkitty1.3.12_2 newestnone known-[email protected]-
FreeBSDwww/py-hyperkitty1.3.12_2 newestnone known-[email protected]-
NetBSDwww/py-hyperkitty1.3.12 newestnone known-[email protected]2026-10-07
HardenedBSDwww/py-hyperkitty1.3.12_2 newestno data-[email protected]-
GhostBSDwww/py-hyperkitty1.3.12_2 newestno data-[email protected]-

Compare across BSDs

Version history 1

  1. 1.3.12

Upstream's version as each commit to the port's Makefile set it, or as this site first saw it in the system's packages; the tree's own revisions are not versions here.

Install

Binary package:

pkg install py312-hyperkitty

From DPorts:

cd /usr/dports/www/py-hyperkitty && make install clean

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

Dependencies

Run dependencies 15

No port depends on this one.

Configuration

No options to configure.

Service scripts
none

Message after installing

There are a few tasks in HyperKitty that need to be run at regular intervals.
The example_project directory contains an example crontab file that you can
put in your /etc/cron.d directory.

To improve performance, HyperKitty uses a distributed task queue that offloads long operations to separate processes called “workers”. 
To run the workers on startup, add hyperkitty_qcluster_enable="yes"
in your /etc/rc.conf. These options must also be configured in rc.conf:

- hyperkitty_qcluster_dir:  Path to directory where hyperkitty setup.py is located
- hyperkitty_qcluster_user: The user that should run the asynchronous workers

HyperKitty has been upgraded, you need to run the commands that will update the
database schemas. Before updating any of those databases, it is recommended to
shut down the webserver which serves HyperKitty (Apache HTTPd for example).

To update the HyperKitty database, run:

django-admin migrate --pythonpath example_project --settings settings
After this command complete, your database will be updated, you can start your webserver again.