SQLpage
seaborn
SQLpage | seaborn | |
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36 | 77 | |
804 | 11,994 | |
- | - | |
9.8 | 8.4 | |
2 days ago | 4 days ago | |
Rust | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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SQLpage
- OAuth and OIDC Implementation in SQL
- SQLite Schema Diagram Generator
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SQLPage – Building a full web application with nothing but SQL queries [video]
Saving further clicks:
> 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...
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Bruno
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?
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Apache Superset
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
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PostgREST: Providing HTML Content Using Htmx
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.
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I think I need to go lie down
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.
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Portugal. The Man – Official Website Is a Google Sheets Document
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
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Ask HN: What do you like to see in tech talks?
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 !
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Show HN: A open-source financial accounting alternative to QuickBooks
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.
seaborn
- "No" is not an actionable error message
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Apache Superset
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.
I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.
I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.
For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.
Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).
The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
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Seaborn bug responsible for finding of declining disruptiveness in science
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).
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Why Pandas feels clunky when coming from R
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.
https://seaborn.pydata.org/
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Releasing The Force Of Machine Learning: A Novice’s Guide 😃
Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Seaborn - Statistical data visualization using Matplotlib.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/mwaskom/seaborn
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[OC] Nationwide Public Transit Ridership is down 30% from pre-lockdown levels; San Francisco's BART ridership is down almost 70%
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts
What are some alternatives?
bigcapital - 💵 Bigcapital is financial accounting with intelligent reporting for faster decision-making, an open-source alternative to Quickbooks, Xero, etc.
bokeh - Interactive Data Visualization in the browser, from Python
dwarf - dwarf is a typed, interpreted, language that shares syntax with Rust.
Altair - Declarative statistical visualization library for Python
duckdb-prql - PRQL as a DuckDB extension
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
ggplot - ggplot port for python
pugsql - A HugSQL-inspired database library for Python
plotnine - A Grammar of Graphics for Python
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
matplotlib - matplotlib: plotting with Python