PhysiCore — The next generation of PhysiCell: modular, fast, and future-ready.

Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).

A repository that stores all the MCP servers for creating biological mechanistic models. It includes server for NeKo, MaBoSS, PhysiCell/PhysiBoSS.

PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!

The CLI-based chat interface optimized for the Hatch! packages (i.e. MCP server packages).

The official Python SDK for Model Context Protocol servers and clients

use your reMarkable as a graphics tablet

The goal of this package is to perform uncertainty quantification across the entire input space of PhysiCell models (including parameters, initial conditions, and rules) using either a single deskt…

Biologically-informed neural networks

Python data loader for PhysiCell digital snapshots

Repository for all parallel alternatives of BioFVM

Repository for all parallel alternatives of PhysiCell

PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!

python3 physicell data output loader.

This page hosts NeKo, a python package that allow the user to automatically build gene regulatory networks from any databases.

A Python Framework for Modeling and Analysis of Signaling Systems

Comprehensive Python client for the Uniprot REST API

A live viewer for reMarkable written in PyQt5

PhysiCell MicroEnvironment Structure Simulation

Goo is a Blender library for modeling biological cells, tissues, and embryos

The cutest Discord modification

Computational framework for dataset integration

A set of scripts and utilities to analyze PhysiCell/hisyBoSS simulations

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

DrugLogics Software documentation

A set of scripts and utilities to analyze PhysiCell/PhysiBoSS simulations

A generalized, model-agnostic framework for model calibration in PhysiCell.

Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.