Skip to main content

datasette-datatable

Export Datasette records in a form that the DataTables library understands.

Installation

Install this plugin in the same environment as Datasette. Note that this plugin is built against the development version of datasette, not the one released on PyPi.

$ datasette install datasette-datatable

Usage

Having installed this plugin, every table and query will gain a new .datatable export link.

You can also construct these URLs directly: /dbname/tablename.datatable

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-datatable
python3 -mvenv venv
source venv/bin/activate

Or if you are using pipenv:

pipenv shell

Now install the dependencies and tests:

pip install https://github.com/simonw/datasette/archive/refs/heads/main.zip
pip install -e '.[test]'

To run the tests:

pytest

Metadata

Release files for datasette-datatable 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datasette-datatable 0.0.1
File Size Uploaded Provenance
datasette_datatable-0.0.1.tar.gz 4.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for datasette-datatable 0.0.1
File Interpreter ABI Platform
datasette_datatable-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 8.4 kB

Release files / datasette_datatable-0.0.1.tar.gz

Download URL datasette_datatable-0.0.1.tar.gz
Size 4.4 kB
Tags Source
SHA-256 checksum
How to use checksums
0a82142fe4a68dd6b824692f66b2b275bb45adf5df22158009a2ff1266d48e75
BLAKE2b-256 checksum
How to use checksums
ca1f326abc7a2f528c0bea2f9f88f2724006167b0739047064059d95d5fb5854
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.0.0 CPython/3.12.3

Release files / datasette_datatable-0.0.1-py3-none-any.whl

Download URL datasette_datatable-0.0.1-py3-none-any.whl
Size 3.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8912816bda1d46e9d983dc0231072840aaa15c94ec981984cfa3839cfdb872df
BLAKE2b-256 checksum
How to use checksums
c905133acac45f6e7f83753978600f5c9a7574eab7ae80f34daf0b4cac4d886d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.0.0 CPython/3.12.3

Security for datasette-datatable 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page