Jorin

@jorin.me

Open Source Data Dashboards + Embedded Analytics, powered by DuckDB: https://taleshape.com

One of the best things I did in 2026 so far is reading fiction again. Got an ereader. Downloaded a bunch of books and manga. This plus no more phone in the bedroom.

How does Shaper compare to other data visualization tools? @dataders.bsky.social built a cool project to compare 10+ code-based dashboarding tools. The project is completely code-based and processes data with DBT, then visualizes the results. Most of the tools directly generate static HTML. 1/2

BildBild

2026 is the year of Bash. I am back to managing servers with shell scripts. Docker Swarm and Nomad are dead. It's all Kubernetes now. 1/3

I am running Linux for over 10 years and it's never been a better time to give it a try: More reasons than ever to want more control over your setup: 1/3

New @aleshape.com Visualization Option: Confidence Bands Allows you to show a band for a line chart which is great to show extra statistical context (the confidence of a prediction, the spread of a distribution, etc) It's a nice middle ground between only show a line and showing a full Boxplot

Bild

Did you know you can download @taleshape.com dashboards with SQL? Use Shaper's API to download PDFs, images, Excel files and so on. Call the API with the DuckDB http_client extensions from a Shaper task to post charts to Slack, email a weekly PDF report or automate anything else you can think of.

Bild

It's not pretty but works. In the future I will add SQL functions similar to the macro to generate files without needing an API key. And I am thinking to create a generic DuckDB extension to send mail, slack messages and so. Can also generate png, excel, csv & json. Will dm you the code!

Bild

The @taleshape.com CLI just got an upgrade 🚀️ New Commands: - fetch the database schema - validate a dashboard - open a preview in the browser Task Support: - Tasks a files: mytask.task.sql - Run task on startup: `SELECT 'init'::SCHEDULE;` 1/3

BildBild

Did you know duckdb.org's UNPIVOT feature? You rarely need them but from time to time PIVOT and UNPIVOT really help to keep your SQL easy to read: PIVOT turns one row into multiple columns. UNPIVOT turns columns into multiple rows. 1/2

BildBild

The @taleshape.bsky.social docs now have live examples 📊 Examples are now embedded as live dashboards instead of only screenshots. With this you can also directly see the differences between light and dark mode:

BildBildBildBild

ggsql lets you build charts in SQL. Visualizations directly in SQL is also what @taleshape.bsky.social has always been about. And they are not competing: ggsql generalizes charting while shaper builds PDF reports and interactive dashboards, then integrates them into your systems. 1/2

Thomas Lin Pedersen@thomasp85.com · 4mo ago

I am excited beyond description to lift the veil on what we have been working on in 2026: Please meet ggsql! A new extension of the SQL language for creating visualisations using the grammar of graphics. Read all about it in the blog post or visit the website at ggsql.org

have you tried disabling "smart complete" in your editor? I am much more focused when writing since I got rid of Copilot in my editor. 95% of the time the suggestions are useless and just interrupt my train of thought.

Did you know you can build a data analytics agent without the LLM ever seeing your data? That's what we did. We teach the LLM about your data and let it generates SQL. Then we use our open-source tool Shaper generate charts/PDF reports/Excel files and send them directly to you. 1/2

Bild

@duckdb.org is such a flexible tool that it's hard to categorize. Is it SQLite for analytics? Is it a SQL query engine for any data source? A dataframes alternative? A lightweight data lake?

Bild

It's probably the best time ever to get into game development: We gotta make use of all those GPUs out there somehow. And if any of those claims about our productivity in the near future are true, we should have lots of time to play games soon!

Bild

Did you know that with @duckdb.org you can directly query your database schema? When you combine this with considerate comments on your tables and columns it becomes a powerful tool to build agents and other systems that dynamically discover and learn to use your data.

Bild

We are happy to release DuckLake v1.0, a production-ready lakehouse format specification. Its reference implementation, the ducklake DuckDB extension, is available as of today in DuckDB v1.5.2. For more details, read the announcement blog post: ducklake.select/2026/04/13/d...

DuckLake v1.0

We are happy to release DuckLake v1.0, a production-ready lakehouse format specification. Its reference implementation, the ducklake DuckDB extension, is available as of today in DuckDB v1.5.2.

ducklake.select