Motor Admin VS datastation-documentation

Tangential: MotorAdmin is a pretty reasonable, mountable, Rails-based option.

I'm using it to pack BrowserUp, a command line app that can run load tests in Ruby using your own Ruby/Capybara/Selenium/Cuprite libraries (note: still alpha, ping if interested). Motor Admin ships a web app with a no-code admin utility. I think Shopify would have been way better off using this for their latest command line interface rather than taking on a Node dependency, but they might not have realized this was an option, so that's part of why I'm sharing this.

There seems enough competitors when this looks like a tool from 20 years ago with limited functionality.

If you somehow do not use the obvious GUI tools like TablePlus, Postico or SequelAce but prefer web based, there are some that actually look modern.

https://www.getmotoradmin.com/

https://www.nocodb.com/

https://redash.io/

For readonly usage, Metabase is good.

You should check Motor Admin open-source tool (disclaimer: I'm the creator of the tool): https://github.com/motor-admin/motor-admin

>Auto-generating the GUI from SQL schema, similar to the original Django Admin

Thats exactly how Motor Admin works :)

The link posted here is to a Supabase-specific landing page.

Their main home page doesn't mention Supabase: https://www.getmotoradmin.com/

If you want a more codeless approach (not as customizable, but it already looks good and works fine out of the box), I suggest Motor Admin. You just plop it in your project, run a few migrations and it's ready to go. From that point forward, you can add forms, graphs, and query all of your models without coding as much.

Github

There are many open-source no-code tools so you can gain full control over your data/application with them as well as contribute into the source code.

For instance, you can deploy an admin panel with https://www.getmotoradmin.com/ (plug) and save a lot of time building custom internal tools.

Hey folks! I quit my job at Oracle almost a year ago now to build DataStation. It's an app I've wanted as an engineering manager for years now.

DataStation helps you query a variety of data sources (conventional SQL like PostgreSQL and MySQL, non-SQL like Prometheus or Elasticsearch), files and HTTP APIs. It is not a SQL layer on top of these various APIs like FDW in Postgres or Apache Calcite. For Prometheus you query with PromQL. For Elasticsearch you query with Lucene. And for SQL databases you query with their SQL dialect.

DataStation is made of panels (other apps might call them cells) that each produce a result. Panels can refer to other panels. These allow you to build workflows that cross the boundary of a particular datasource. For example you might have some data in a CSV a product manager gave you and the bulk of your data is in PostgreSQL. DataStation helps you pull together these data sets and script them.

DataStation is mainly a desktop app today where the end result is that you export graph SVGS or HTML tables or markdown tables or just a CSV file. All this data stays on your laptop so it's as easy to use in a corporate environment as any existing SQL IDE or Jupyter Notebook.

In the last year it's reached 1.5k stars on Github, over 1000 unique users and currently on-average about 40 fairly active users per month (defined as having opened the app more than a few times).

DataStation is primarily an Electron app but the code that evaluates panels is written in Go.

You can find a ton of tutorials on how to interact with supported databases on the DataStation website: https://datastation.multiprocess.io/docs/.

Looking forward to your feedback!

There are primarily a bunch of tutorials for getting started [0] (these are up to date) and some old videos (not up to date) [1].

[0] https://datastation.multiprocess.io/docs/

[1] https://www.youtube.com/channel/UCGOQFKonPUVo5LgxQDW26yg/vid...

A markdown generator embeds markdown from a Github repo into the marketing site. This way the marketing site is kept private while anyone can easily contribute to docs.

Docs are kept in separate folders for each release.

https://github.com/multiprocessio/datastation-documentation