A Python library for geotechnical engineering calculations.
Project description
GeoEq
A Python library for geotechnical engineering calculations.
The installable package name is geoeq (like NumPy / numpy). GeoEq
is the project name used in documentation.
GeoEq brings common geotechnical formulas into one consistent, validated, and well-documented Python package. It is built for engineers, students, and researchers who want to replace repetitive spreadsheet work with clean, reusable code.
Status
v0.0.2 is the current release (same API as v0.0.1; documentation uses the GeoEq name). It covers soil property and phase-relationship formulas -- the building blocks for everything else in geotechnical engineering.
Future releases will add effective stress, bearing capacity, settlement, consolidation, earth pressure, slope stability, pile capacity, liquefaction assessment, and more.
Installation
pip install geoeq
Requires Python 3.9 or later. No external dependencies.
Quick start
from geoeq.soil import properties as sp
# Dry unit weight from specific gravity and void ratio
gamma_d = sp.dry_unit_weight(Gs=2.65, e=0.72)
print(f"Dry unit weight: {gamma_d:.2f} kN/m3")
# Saturated and submerged unit weights
gamma_sat = sp.saturated_unit_weight(Gs=2.65, e=0.72)
gamma_sub = sp.submerged_unit_weight(Gs=2.65, e=0.72)
# Phase relations
n = sp.porosity_from_void_ratio(0.72)
S = sp.degree_of_saturation(w=0.18, Gs=2.65, e=0.72)
w = sp.water_content(S=0.80, Gs=2.65, e=0.72)
e = sp.void_ratio_from_porosity(0.42)
# Relative density
Dr = sp.relative_density(e=0.60, e_max=0.85, e_min=0.45)
# Atterberg limits
PI = sp.plasticity_index(LL=48, PL=22)
LI = sp.liquidity_index(w=35, PL=22, PI=26)
CI = sp.consistency_index(w=35, LL=48, PI=26)
What is included in v0.0.2
Soil property and phase-relationship formulas
All functions validate inputs, document units in docstrings, and reference their source methods.
Void ratio and porosity
void_ratio_from_porosity(n)-- convert porosity to void ratioporosity_from_void_ratio(e)-- convert void ratio to porosity
Degree of saturation and water content
degree_of_saturation(w, Gs, e)-- compute S from water content, Gs, and ewater_content(S, Gs, e)-- compute w from saturation, Gs, and e
Unit weights
dry_unit_weight(Gs, e)-- dry unit weight (kN/m3)saturated_unit_weight(Gs, e)-- saturated unit weight (kN/m3)bulk_unit_weight(Gs, e, S)-- moist/total unit weight (kN/m3)submerged_unit_weight(Gs, e)-- buoyant unit weight (kN/m3)
Density
dry_density(Gs, e)-- dry density (kg/m3)bulk_density(Gs, e, S)-- bulk density (kg/m3)
Void ratio from other quantities
void_ratio_from_water_content(w, Gs, S)-- compute e from w, Gs, Svoid_ratio_from_dry_unit_weight(gamma_d, Gs)-- compute e from gamma_d
Relative density
relative_density(e, e_max, e_min)-- density index for granular soils
Atterberg limits and consistency
plasticity_index(LL, PL)-- PI = LL - PLliquidity_index(w, PL, PI)-- LIconsistency_index(w, LL, PI)-- CI
Core utilities
- Validation -- input checking (positive, non-negative, range, fraction, angle)
- Constants -- gravity, unit weight of water, atmospheric pressure
- Types --
Soildataclass for passing soil properties between functions
Design principles
- Validated inputs. Every function checks that values are physically meaningful. Negative void ratios, impossible saturation, and bad angles raise clear errors.
- Documented units. Every docstring states what units are expected and returned.
- Traceable methods. Docstrings reference the source formula or textbook.
- No hidden dependencies. GeoEq uses only the Python standard library.
- Tested. Every formula is tested against hand-calculated values and textbook examples.
Roadmap
| Version | Scope |
|---|---|
| v0.0.1 | Soil properties and phase relations |
| v0.1.x | Effective stress, pore pressure, seepage |
| v0.2.x | Shallow foundations, bearing capacity, settlement |
| v0.3.x | Soil classification (USCS), SPT/CPT correlations |
| v0.4.x | Earth pressure, consolidation, slope stability |
| v0.5.x | Pile capacity, liquefaction, advanced methods |
| v1.0.0 | Stable API, full documentation, examples |
Running the tests
From a clone of this repository:
pip install -e ".[dev]"
pytest
If you only install pytest, tests still run from the project root (see pythonpath in pyproject.toml):
pip install pytest
pytest
The wheel on PyPI does not include the test files; run tests from a source checkout.
Contributing
The repository is private until around v0.5; it will then be opened for public contributions. Until then, feedback and feature requests are appreciated.
Every contribution should include the code, a test, a documentation update, and a reference for the method.
License
MIT License. See LICENSE for details.
Copyright (c) 2026 Ripon Chandra Malo
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