ShowerData
A library to save and load calorimeter shower data in HDF5 format. It stores variable-size point-clouds efficiently and provides easy access to the data.
Installation
You can install the library using pip:
pip install showerdata
Documentation
The full documentation is available at: https://flc-qu-hep.github.io/ShowerData/
Development
If you want to contribute to the development of the library, follow these steps to set up your development environment.
1. Clone the repository
git clone https://github.com/FLC-QU-hep/ShowerData.git
cd ShowerData
2. Install dependencies
Use one of the following methods to install the required dependencies.
uv (recommended):
uv sync --group=dev --group=test --group=doc
source .venv/bin/activate
pip + venv (alternative):
python -m venv .venv
source .venv/bin/activate
pip install -e .
pip install --group dev
pip install --group doc
pip install --group test
3. Setup pre-commit hooks
pre-commit install
4. Run unit tests
pytest
Metadata
Release files for showerdata 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| showerdata-0.7.0.tar.gz | 33.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| showerdata-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.2 kB
Release files / showerdata-0.7.0.tar.gz
| Download URL | showerdata-0.7.0.tar.gz |
|---|---|
| Size | 33.2 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / showerdata-0.7.0-py3-none-any.whl
| Download URL | showerdata-0.7.0-py3-none-any.whl |
|---|---|
| Size | 26.0 kB |
| Tags | Python 3 |
|
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/7.0.0 CPython/3.13.14
|
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 Oct 5, 2026.
Transparency log