Panl
Panl is a Python library for analyzing structural panels with cutouts, providing tools for stress analysis, geometric optimization, and design validation.
Features
- 🔧 Structural panel analysis with cutout support
- 📊 Stress concentration calculations
- 🎯 Geometric optimization
- ✅ Comprehensive testing with pytest
- 🎨 Code quality enforced with pre-commit hooks
Installation
From PyPI (once published)
pip install panl
For Development
# Clone the repository
git clone https://github.com/Czarified/panl.git
cd panl
# Install Poetry if you haven't already
# Visit: https://python-poetry.org/docs/#installation
# Install dependencies
poetry install
# Install pre-commit hooks
poetry run pre-commit install
Quick Start
import panl
# Your code here
print(f"Panl version: {panl.__version__}")
Development
This project uses several tools to maintain code quality:
- Poetry: Dependency management
- Nox: Task automation and testing across Python versions
- pre-commit: Git hooks for code quality
- pytest: Testing framework with coverage
Running Tests
# Run tests with coverage
poetry run nox -s tests
# Run tests for specific Python version
poetry run nox -s tests-3.11
Code Quality
# Run all linters
poetry run nox -s lint
# Format code with black
poetry run nox -s black
# Sort imports with isort
poetry run nox -s isort
# Run pre-commit hooks
poetry run nox -s pre-commit
Available Nox Sessions
# List all available sessions
poetry run nox --list
# Run a specific session
poetry run nox -s <session-name>
Requirements
- Python >= 3.11
- Poetry for dependency management
Contributing
Contributions are welcome! Please ensure:
- All tests pass:
poetry run nox -s tests - Code is formatted:
poetry run nox -s black - Linting passes:
poetry run nox -s lint - Pre-commit hooks pass:
poetry run pre-commit run --all-files
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Benjamin Crews - your.email@example.com
This project is an Agentic Experiment by the author, and uses Gemini 3 Flash.
Metadata
Release files for panl 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| panl-1.0.0.tar.gz | 18.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| panl-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.5 kB
Release files / panl-1.0.0.tar.gz
| Download URL | panl-1.0.0.tar.gz |
|---|---|
| Size | 18.9 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 Feb 12, 2026.
Transparency logRelease files / panl-1.0.0-py3-none-any.whl
| Download URL | panl-1.0.0-py3-none-any.whl |
|---|---|
| Size | 20.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cbee5a29e1861c55aa46d3abd2f79b5b8f449a590d5238a63f679d12b5df6226
|
|
BLAKE2b-256 checksum How to use checksums |
deee06c560deb8ea07d5b517e83b442caddcb2ec450326269834168cf1394cb9
|
| 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 Feb 12, 2026.
Transparency log