This release is a pre-release and may not be stable for production use.
datasette-profiles
Editable user profile pages for Datasette
Installation
Install this plugin in the same environment as Datasette.
datasette install datasette-profiles
Usage
Adds the ability for users to view profiles and edit their profile, from options in the main application menu.
Stores data in the internal database, so Datasette needs to be run with the --internal internal.db option.
Plugin hook
This plugin adds a plugin hook: bottom_profile(datasette, request, profile_actor). Other plugins can use this to return HTML to be included at the bottom of the public user profile page - or return an async def function that returns that HTML.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-profiles
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
python -m pytest
Release files for datasette-profiles 0.1a5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datasette_profiles-0.1a5.tar.gz | 16.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datasette_profiles-0.1a5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.8 kB
Release files / datasette_profiles-0.1a5.tar.gz
| Download URL | datasette_profiles-0.1a5.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 8, 2025.
Transparency logRelease files / datasette_profiles-0.1a5-py3-none-any.whl
| Download URL | datasette_profiles-0.1a5-py3-none-any.whl |
|---|---|
| Size | 18.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
73496aa7e2677563c9b48e9296a45230b6eaf33a458860a3a773c2ce210d80f0
|
|
BLAKE2b-256 checksum How to use checksums |
6987ef60ad0352c8895d2802170376a1ff38030161f73bf1a021ded9e4690928
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 8, 2025.
Transparency log