pytolerance

🎯 Description

Python library designed for Tolerance Stack-up analysis using Monte Carlo simulation, allowing you to predict dimensional variability in mechanical assemblies. The dimension class also calculates absolute tolerances, enabling direct comparison with your Monte Carlo simulation results.

🚀 Key Features

Monte Carlo Simulation: Statistical precision for non-linear distributions. Distribution Support: Currently only supports Gausian distribution but is planned to include Uniform, Triangular ... Sensitivity Analysis: Identify which tolerances have the greatest impact on your results. Lightweight & Fast: Optimized for iterative calculations.

📦 Installation

pip install pytolerance

🛠️ Quick Start

📏 Define your dimensions

from pytolerance.dimension import Dimension

SAMPLES = 100000

dimension1 = Dimension(nominal=10,
                       tol_sup=0.5,
                       tol_inf=0,
                       CP=2,
                       number_samples=SAMPLES)

dimension2 = Dimension(nominal=11,
                       tol_sup=0,
                       tol_inf=-0.5,
                       CP=2,
                       number_samples=SAMPLES)

📊 Perform the operation

result = dimension1 - dimension2

📊 Visualize results

print(f"Mean: {result.mean:.4f} mm")
print(f"Sigma: {result.std:.4f} mm")

from pytolerance.hystogram import Hystogram

hist = Hystogram(
    dimension=result,
    bins=50,
    xlabel="Dimension (mm)",
    ylabel="Density",
    title="Distribution with Tolerance Limits"
)
hist.show_plot()

⚙️ Technical Requirements

Python 3.11

Main dependencies: numpy.

🤝 Contributing

To contribute to this project, please visit my GitHub repository: https://github.com/ErnestoAvedillo/tolerances/

📜 License

Copyright (c) 2026 Ernesto Avedillo Carretero

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.