@girish awesome

@nebulon I think it's better to make the locales configurable. In my case, it would be perfect.

@girish thank you, but the issue is the display of dates and not the strings that are displayed correctly in French (or other languages available). As said @nebulon the problem is caused by locales that are not available in the LAMP app.

@nebulon have created an issue at https://git.cloudron.io/cloudron/lamp-app/issues/14

thanks @murgero & @nebulon

Okay, I could try to propose a solution before reporting the problem!
I could also ask on this forum

It doesn't work any better. The timezone is configured in my application and the French translation is correct. On another server (except Cloudron) MRBS works without any problem. In fact, PHP setlocale has no effect.

Cloudron terminal:

# locale -a
C
C.UTF-8
POSIX

Another server:

% locale -a
C
C.UTF-8
en_US.utf8
french
fr_FR
fr_FR@euro
fr_FR.iso88591
fr_FR.iso885915@euro
fr_FR.utf8
fr_FR.utf8@euro
POSIX

I installed MRBS with a LAMP application, it works fine. However, the dates are not displayed in French while the rest of the localization works. The locales are not activated in the container LAMP. Is there a workaround?

MRBS is a free, GPL, web application using PHP and MySQL/pgsql for booking meeting rooms or other resources.

did anyone work on the integration of a decidim app within Cloudron?

Kimai is a free open source timetracker. It tracks work time and prints out a summary of activities on demand. Yearly, monthly, daily, by customer, by project, by action, etc.

• The new version (V2) is announced.
• https://v2.kimai.org/
• https://www.kimai.org/

Polis is an AI-powered conversation platform used by companies, governments, nonprofits, and political parties around the world to inform decision-making. Polis combines quantitative and qualitative methods with advanced statistical methods to function as a state-of-the-art social research tool.

Polis works by creating a “conversation” that participants engage with by adding their opinions and voting on the opinions of others. This is the sort of data usually collected through time-consuming and expensive community forums, interviews, or focus groups.

Then machine learning methods uncover patterns in real-time—mapping out the entire conversation by visualizing correlations between opinions and participants, sorting participants into opinion groups, and surfacing areas of consensus and divisiveness.

https://intercom.help/polis/faq/polis-faq

https://pol.is/home

https://github.com/pol-is/

@girish Great, that was very informative for me.