The first Python-based soap formulation library. Professional saponification calculations, recipe management, and property analysis.
Project description
Soap Calc
The first Python-based soap formulation library. Define recipes in JSON, calculate lye and water amounts, predict soap properties, and export printable instructions—all from the command line or through AI agents like Claude Code.
Traditional web calculators lock your formulas in HTML forms. Soap Calc treats recipes as code: version them with git, iterate programmatically, and collaborate with AI to brainstorm oils, debug formulations, and scale batches. Ask "Create a moisturizing bar soap for dry skin" or "Why is this recipe too soft?" and get structured, chemically sound answers.
Every calculation is transparent and reproducible. No proprietary formulas, no hidden assumptions—just saponification chemistry you can audit and extend.
Background
Inspired by Soapmaking Friend, this project reimagines soap calculation as a Python library. Built collaboratively with AI tools including antigravity by Google, Gemini 3 Pro, and Claude Opus 4.6.
Features
Core Calculation
- Multi-Lye Support
- Sodium Hydroxide (NaOH): For hard bar soaps.
- Potassium Hydroxide (KOH): For liquid soaps.
- Dual Lye (Hybrid): Create hybrid recipes (e.g., shaving soap, cream soap) with any ratio of NaOH:KOH.
- Flexible Water Calculation Modes
- Water:Lye Ratio: Specify water relative to the lye amount (e.g., 2:1).
- Lye Concentration: Calculate water needed to reach a specific lye concentration %.
- Water as % of Oils: Traditional method (discouraged but supported).
- Superfatting
- Apply lye discount directly (standard superfat).
- Define "Superfat Oils" added post-cook or after the gel phase (Hot Process).
Recipe Management
- Ingredient Management:
- Oils: Define base oils with percentage of total oil weight.
- Liquids: Define liquid phase ingredients (water, milks, juices, etc.) with handling notes.
- Additives: Track additives (sugar, sodium lactate, colorants, exfoliants) with usage rates (amount or percentage) and addition stage.
- Fragrances: Manage Essential Oils and Fragrance Oils with usage amounts and safety limits.
- Phased Tracking: Assign ingredients to specific stages:
- Lye Liquid
- Oil Phase
- Trace (Light/Medium/Heavy)
- Post Cook / After Gel
- In Mold
- Mold-Based Sizing: Calculate total batch size based on mold dimensions (Length x Width x Height) and desired fill factor, assuming ~0.692 g/cm³ oil density.
- Recipe Scaling: Automatically resize recipes to a target total oil weight while preserving ingredient ratios.
Analysis & Validation
- Property Estimation: Estimate theoretical soap qualities based on fatty acid profiles:
- Hardness, Cleansing, Conditioning
- Bubbly Lather, Creamy Lather
- Longevity
- Iodine Value
- INS Value
- Validation System: Checks recipes for:
- Missing lye/water definitions.
- Properties falling outside recommended ranges.
- Fragrance safety limits (where applicable).
Database & Extensibility
- Built-in Oil Library: Includes common oils (Olive, Coconut, Palm, Shea Butter, Castor, etc.) with their SAP values and fatty acid profiles.
- User Extensions: Extend the database with your own oils via
~/.soap_calc/oils.json. - Search: CLI tools to list and search available oils.
Output & Formats
- Input Formats: Define recipes using human-readable JSON or YAML.
- Markdown Export: Generate detailed, printable recipe sheets including:
- Calculated measurements (Lye, Water, Oils).
- Step-by-step ingredient checklists grouped by stage.
- Property analysis and warnings.
Recipe Format Example
Create recipes in JSON or YAML. Here is a feature-rich example:
{
"name": "Lavender Dream",
"lye_type": "NaOH",
"superfat_pct": 5.0,
"water_mode": "Water:Lye Ratio",
"water_value": 2.0,
"total_oil_weight": 800,
"oils": [
{ "oil": "Olive Oil", "percentage": 40 },
{ "oil": "Coconut Oil, 76 deg", "percentage": 30 },
{ "oil": "Palm Oil", "percentage": 30 }
],
"additives": [
{
"name": "Sodium Lactate",
"percentage": 1.0,
"percent_base": "Oil Weight",
"stage": "Lye Liquid"
}
],
"fragrances": [
{
"name": "Lavender EO",
"percentage": 3.0,
"max_safe_pct": 5.0
}
],
"ignore_warnings": ["ins_low", "iodine_high"]
}
Advanced Fields
-
total_oil_weightvsbase_oil_weight: Two ways to specify batch size (only set one):"total_oil_weight": Total weight of all oils in grams (base + superfat combined). Use for cold process or when you think in terms of total batch oils."base_oil_weight": Weight of just the base oils in grams. Superfat oils are calculated on top of this amount (base × superfat_pct / 100). Ideal for hot process recipes where you want a specific base oil weight.- If neither is set, defaults to 800 g. A
moldspecification or CLI--oil-weightoverride takes priority over both.
Example:
"base_oil_weight": 1000with"superfat_pct": 10→ 1000 g base oils + 100 g superfat oils = 1100 g total. -
percent_base: When defining additives, specify what the percentage is based on."Oil Weight"(Default)"Liquid Weight""Total Batch Weight"
-
ignore_warnings: A list of warning codes to suppress during validation (e.g., if you intentionally want a very soft soap).
Installation
This package requires Python 3.9 or higher.
Install from PyPI:
pip install soap-calc
Or install in editable mode for development:
git clone https://github.com/mikewolfd/soap-calc.git
cd soap-calc
pip install -e .
Built-in Claude Code Skill
This repository includes a soap formulation skill for Claude Code (.agent/skills/soap-formulation/). The skill combines expert formulation guidance with the calculation engine to help you design, troubleshoot, and refine recipes through conversation.
What it does:
- Generates recipes from natural language descriptions ("moisturizing bar with shea butter")
- Troubleshoots formulation problems ("why is my soap soft?", "how do I fix DOS?")
- Suggests oil substitutions based on fatty acid profiles and SAP values
- Validates recipes against formulation best practices before calculation
- Provides safety guidance for lye handling and pH testing
How it works:
The skill consults soap-formulation-expert-reference.md for fatty acid balance targets and formulation archetypes, searches the oil database to verify ingredient names, writes recipe files, validates them, runs calculations, and exports formatted instructions—all while explaining the chemistry and design choices.
Try: "Create a conditioning shampoo bar recipe" or "Why does my castile soap take forever to harden?"
Usage
Once installed, the soap-calc command is available in your terminal.
Validate a Recipe
Check a recipe file for potential issues:
soap-calc validate my_recipe.yaml
Calculate & View
Calculate a recipe and display the results in the terminal. You can optionally override the total oil weight using --oil-weight (or -w implies via arg parsing if alias existed, but use full flag for clarity):
soap-calc calculate my_recipe.yaml
# Override to 1200g oil weight
soap-calc calculate my_recipe.yaml --oil-weight 1200
Export to Markdown
Generate a detailed report:
soap-calc export my_recipe.yaml -o report.md
Scale a Recipe
Resize a recipe to use 1000g of oils:
soap-calc scale my_recipe.yaml 1000 -o scaled_recipe.yaml
List Available Oils
soap-calc list-oils "coconut"
Extending the Database
You can add your own oils by creating a file at ~/.soap_calc/oils.json.
Schema:
[
{
"name": "My Custom Oil",
"sap_naoh": 0.135,
"sap_koh": 0.190,
"iodine": 55,
"ins": 145,
"fatty_acids": {
"lauric": 0.0,
"myristic": 0.0,
"palmitic": 10.0,
"stearic": 5.0,
"ricinoleic": 0.0,
"oleic": 40.0,
"linoleic": 40.0,
"linolenic": 0.0
},
"notes": "Sourced from Local Supplier X"
}
]
- SAP Values: Must be provided.
- Fatty Acids: Should sum to approximately 100.0. Used for property calculation.
Development
Running Tests
To run the test suite, ensure you have pytest installed:
pip install pytest
pytest
Project Structure
soap_calc/: Main package source code.tests/: Unit and integration tests.data/: Built-in oil database.examples/: Example recipe files.
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