gensql-magics

This package provides magics for using GenSQL inside of a jupyter notebook. Queries are wrapped into a Pandas dataframe.

Requires 24 or later installed an in PATH. (Java 17 might work).

Usage:

First load the package and the extension:

import gensql_magics
%load_ext gensql_magics

Then you can use it in its own cells:

%%gensql -d db.edn
SELECT * FROM data LIMIT 10

Valid options are:

-d The model database, defaults to db.edn.
-o Jupyter variable to bind output to.
-l Query language, permissive or strict, defaults to permissive.

Building

Make sure you have the git repo checked out recursively (including submodules). Then, make sure to run the prebuild.sh script before building with uv.

git clone --recursive https://github.com/LeifAndersen/GenSQL.magics/
./prebuild.sh
uv build

Metadata

Release files for gensql-magics 0.0.4

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Source distribution (sdist)

Source distribution for gensql-magics 0.0.4
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gensql_magics-0.0.4.tar.gz	74.1 MB	Sep 18, 2025	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for gensql-magics 0.0.4
File	Interpreter	ABI	Platform	Reset
gensql_magics-0.0.4-py3-none-any.whl 74.1 MB Sep 18, 2025 Without provenance	Python 3	none	any	Details

Total release size: 148.1 MB

Release files / gensql_magics-0.0.4.tar.gz

Download URL	gensql_magics-0.0.4.tar.gz
Size	74.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`ad4dad7b8c793657576aeaf7ea21616872ef5856a2587116430a1ac82590d925`
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Upload date	Sep 18, 2025
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Uploaded via	`uv/0.8.17`

Release files / gensql_magics-0.0.4-py3-none-any.whl

Download URL	gensql_magics-0.0.4-py3-none-any.whl
Size	74.1 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`4a49dcc7a305b123c31e03f6a82d0ec3e5615d433217ecf57f4eeddaabcf74ba`
BLAKE2b-256 checksum How to use checksums	`1c67bc6a91a778a07f54896f40d0429f8f2ebf49f0c8c6247f3f7824cee9cc57`
Upload date	Sep 18, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.8.17`

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