SFPPy is a modeling and simulation framework for evaluating the compliance and risk of food contact materials, from monolayer to complex multilayer structures, with parameter estimation, regulatory filters, and more.
SFPPyLite is a self-contained, browser-based version powered by JupyterLite. It runs a full Python environment (via pyodide), a file browser, a live editor, and persists your work entirely in-browser — no installation, no server, just your browser.
⚙️ How It Works
- 💾 Data is saved using a persistent web worker session.
- 📂 Use drag & drop to upload files.
- 📥 Use right-click → Download to export one or multiple files.
- 🧠 No AI assistance is included in this Lite version.
Tip: Your session data remains available between visits. To reset or recover from sync issues, use reset.html.
🚀 Start Here
| 📘 demo.ipynb Overview of SFPPy capabilities, how to interact with the environment, and what to explore next. |
📂 Available Notebooks
| ✅ comply.ipynb Comprehensive compliance notebook aligned with regulatory workflows. |
| 🔬 example1.ipynb Migration simulation for monolayer materials. |
| 📦 example2.ipynb Multilayer structures with internal barriers and coatings. |
| ⛓ example3.ipynb Chained simulations for evolving exposure scenarios. |
| 🔧 example4.ipynb Identify parameters from experimental migration data. |
| 🖼 gui.ipynb Interactive GUI to run models and visualize results. |
| 🧭 index.ipynb Notebook index navigator (useful in Colab, less here). |
🧰 Utilities
| ♻️ reset.html Reset the browser storage to reload SFPPyLite fresh. |