SQLpage VS superset

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> SQLPage is a tool that allows you to build websites using nothing more than SQL queries. You write simple text files containing SQL queries, SQLPage runs them on your database, and renders the results as a website.

The 22-line "TinyTweeter" example at 28:45 [0] in the video is a good overview - perhaps better than anything currently on the homepage/docs: https://github.com/lovasoa/SQLpage/blob/main/examples/tiny_t...

Also, based on a couple of discussions [1][2] it seems like SQLPage has the potential to combine well with HTMX too. The two projects definitely share a similar philosophy.

[0] https://youtu.be/mXdgmSdaXkg?t=1721

[1] https://github.com/lovasoa/SQLpage/issues/84#issuecomment-19...

[2] https://github.com/lovasoa/SQLpage/pull/175#issuecomment-187...

I am currently looking for a solution to run automated tests on a sql website generator I am working on ( https://sql.ophir.dev )

I wanted to use hurl (https://hurl.dev/), but Bruno's UI seems to be useful while developing the tests... Has someone tried both ? Which is better for automated testing, including when the response type is html and not json?

Full fledged BI tools like Superset and Metabase are amazing for their intended use cases.

But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. so if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be very useful for latter kind of use cases are SQLPage and Evidence.

They make it very convenient to whip out some SQL and convert that to a neat professional looking web ui that can be forwarded to an end user. In case of Evidence it is a statically generated site, and in case of SQLPage it is a web app that connects to a live database.

SQLPage: https://sql.ophir.dev/

Evidence: https://evidence.dev

I feel obligated to add a shameless plug here. The idea is very close to a project I presented at pgconf.eu last week: SQLPage

https://sql.ophir.dev/

SQLPage has the same goal as postgrest+htmx, but is a little bit higher level. It let's you build your application using prepackaged components you can invoke directly from SQL, without having to write any HTML, CSS, or JS.

It would be great if someone could open a github issue with reproduction steps and maybe a screenshot: https://github.com/lovasoa/SQLpage/issues

The worst I'm able to get when manually disabling the cache and simulating a slow 3G connection is this: a blank page first, then text in the browser's font, then the text re-renders with the right font, then the icons load. The user should never see completely unstyled content.

The site uses "font-display: fallback" so this happens only on slow network connections. If the font loads fast enough, then the fallback never appears.

The official website for SQLPage (https://sql.ophir.dev/) is written in SQLPage.

The source code is here: https://github.com/lovasoa/SQLpage/tree/main/examples/offici...

The site also links to this little collaborative game written in SQLPage: https://conundrum.ophir.dev/

The github README has code snippets and associated screenshots: https://github.com/lovasoa/SQLpage#examples

There is also an official repl.it that you can fork to quickly try it online without having to download anything: https://replit.com/@pimaj62145/SQLPage

And SQLPage cloud is coming: https://sql.ophir.dev/your-first-sql-website/hosted.sql

Hey HN community!

I'll be making my first ever presentation at a large tech conference at pgconf.eu this December, where I'll be presenting the SQLPage webapp micro-framework ( https://sql.ophir.dev/ ). I'm eager to make a lasting impression and deliver a presentation that truly resonates with the audience at the conference, who probably knows more about postgres than I do.

That's where I could use your insights. What makes a good tech talk in your eyes? Do you like seeing mind-blowing demos, deep dives into code, compelling storytelling, or something else entirely ?

If you have any specific advice, tips, or ideas for structuring a tech conference presentation, I'm all ears. I want to ensure that my presentation is not just informative but also an experience to remember.

Thank you in advance for your guidance and suggestion !

When I see that, I always wonder whether this is part of the business plan of the people who distribute open source software for free, with a paid hosted version. There is some kind of a conflict of interest: the easier the software is to install and operate, the less attractive the hosted version.

I am working on an open-source software with a hosted version myself ( https://sql.ophir.dev ). It's a website builder, and I'm trying to make ease of deployment and operations a competitive advantage, which is marketed on the home page. But it may be idealistic to ask the same of others. My audience is mostly people who will have to operate the software themselves, whereas in most other domains, the people making the choice to use the software and the people who will then have to operate it are not the same.

Superset is absolutely phenomenal. I really hope Microsoft eventually releases all of their customizations they made to it internally to the OS community someday.

https://www.youtube.com/watch?v=RY0SSvSUkMA

https://github.com/apache/superset/discussions/20094

I recently ran a little shootout between Superset, Metabase, and Lightdash. All have nontrivial weaknesses but I ended up picking Lightdash.

Superset the best of them at _data visualization_ but I honestly found it almost useless for self-serve _BI_ by business users. This issue on how to do joins in Superset (with stalebot making a mess XD) is everything difficult about Superset for BI in a nutshell. https://github.com/apache/superset/issues/8645

Metabase is pretty great and it's definitely the right choice for a startup looking to get low cost BI set up. It still has a very table centric view, but feels built for _BI_ rather than visualization alone.

Lightdash has significant warts (YAML, pivoting being done in the frontend, no symmetric aggregates) but the Looker inspiration is obvious and it makes it easy to present _groups of tables_ to business users ready to rock. I liked Looker before Google acquired it. My business users are comfortable with star and snowflake schemas (not that they know those words) and it was easy to drop Lightdash on top of our existing data warehouse.

Or like not being able to delete a user without running some SQL:

https://github.com/apache/superset/issues/13345

Almostl instantly run into this issue setting up a test instance of Superset. And the issue has been around for years.

Are you interested in trying out Superset, but you're intimidated by the local setup process? Worry not! Superset needs some initial setup to install locally, but I've got a streamlined way to get started - using the makefile! This file contains a set of scripts to simplify the setup process.

Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding.

if they don't want to pay for powerbi, can try something like https://superset.apache.org/

In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.