mathesar VS Lean and Mean Docker containers

Congratulations on launching, it's nice to see more open source products in this area (I work on https://mathesar.org/). Feel free to reach out if you'd like to talk and compare notes.

This is what we're trying to do with [Mathesar](https://github.com/centerofci/mathesar). We probably don't meet your needs yet because we don't support real-time concurrent editing, but we're actively working on the project and it is early days.

I'm an engineer on the Mathesar core team and I'd just like to clarify that Mathesar does support grouping to some extent. Here is a screenshot[1] that demonstrates the grouping functionality. Grouping levels are unlimited. You can play with this functionality on our live demo[2]. It's worth mentioning that Mathesar does not yet have the capability to expand and collapse groups, but that feature is planned[3].

Best of luck building Visual DB! Nice to see more innovation in this space!

[1]: https://mathesar.org/assets/crm-table-zoomed.png

[2]: https://demo.mathesar.org/

[3]: https://github.com/centerofci/mathesar/issues/475

I’m not sure if it’s okay to plug my project, but I work on Mathesar (https://github.com/centerofci/mathesar) which can be used as a Postgres GUI. We’re putting a lot of product/design effort into making it nice to use for non technical users.

Otherwise, I just use the command line.

We're trying to do this with Mathesar: https://github.com/centerofci/mathesar. Some feedback would be great!

We're trying to build a community driven project in this space - https://github.com/centerofci/mathesar. We just did our alpha release a couple of months ago.

I'm philosophically opposed to open core (Mathesar is run out of a non-profit), but I can see why other projects do it – finding funding for a big project like this is difficult without VCs (who expect returns).

I'm working on https://mathesar.org/ – it's an open source database solution built on Postgres, you can import data, connect to multiple databases, edit data and build reports. It can't connect to non-Postgres databases, so it may not work for you.

We've just released Mathesar v0.1.2. Major new features are support for multiple databases in the UI and more options for installing Mathesar. We also made a bunch of smaller UX improvements and fixed a few bugs. Our full release notes are here: https://github.com/centerofci/mathesar/releases/tag/0.1.2

We did this for our open source project, Mathesar (https://github.com/centerofci/mathesar), which also uses Django. It's a lot of work. You can take a look at our code if it's helpful.

And if you want to make the container quickly secure without bloats, maybe give this a try https://github.com/slimtoolkit/slim

Slim.ai presents the data in a more user friendly way than many of the other tools in this post. On top of its open source SlimToolkit for identifying the contents of an image, Slim.ai uses Trivy for vulnerability scanning.

What about https://github.com/slimtoolkit/slim?

A last practice that I do not use at all and which may interest you is to use slim toolkit to keep only the useful elements in your final image.

Anyone tried using https://github.com/docker-slim/docker-slim To minify an image?..

Distroless images are better left for people with serious need for lightweight images and good Linux knowledge because they require lot of planning with the build so that they stay light and work. If you need lighter images but docker isn't your main tool and you can't afford to take hours and hours of practicing different build strategies you can check docker-slim (https://dockersl.im/). With this tool you can easily size down the images.

Maybe this would help in that regard: https://github.com/docker-slim/docker-slim