This release is a pre-release and may not be stable for production use.
datasette-alerts-ntfy
Installation
Install this plugin in the same environment as Datasette.
datasette install datasette-alerts-ntfy
Usage
Usage instructions go here.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-alerts-ntfy
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
1 maintainer
Metadata
1 maintainer
Release files for datasette-alerts-ntfy 0.1.0a2
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_alerts_ntfy-0.1.0a2.tar.gz | 3.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datasette_alerts_ntfy-0.1.0a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.2 kB
Release files / datasette_alerts_ntfy-0.1.0a2.tar.gz
| Download URL | datasette_alerts_ntfy-0.1.0a2.tar.gz |
|---|---|
| Size | 3.5 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/3.13.12
|
Provenance
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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 Apr 9, 2026.
Transparency logRelease files / datasette_alerts_ntfy-0.1.0a2-py3-none-any.whl
| Download URL | datasette_alerts_ntfy-0.1.0a2-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
e15359080473cb199638f1754df0fdba149b0d68ccd2aa45d652abaed420e652
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 9, 2026.
Transparency log
