I implemented a neural network in SQL
Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…
I implemented a neural network in SQL launched on July 13, 2026 with 121 votes, #309 of 24,623 launches that month and more than 95% of that year's launches.
In plain words
Xarray-SQL is an array database library that represents N-dimensional arrays as tabular data with orthogonal dimensions mapped to primary keys. It enables bidirectional conversion between gridded raster data and relational table models, allowing users to perform array operations using SQL queries. The project is designed for data scientists and researchers working with geospatial and climate datasets who want to leverage relational database approaches for array-based workflows.
written from the facts on this page · September 2026
From the sources
An experiment to query Xarray datasets with SQL. Contribute to xqlsystems/xarray-sql development by creating an account on GitHub.
In the maker’s words, at launch
Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the…
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