Skip to main content

protocol and execution for compositional systems biology

Project description

Process-Bigraph

PyPI GitHub Pages

Process-Bigraph is a compositional runtime and protocol for building and executing multiscale biological models from interoperable processes.

It provides a shared architectural layer for:

  • declaring process interfaces
  • wiring processes through typed shared state
  • orchestrating execution across heterogeneous timescales
  • supporting dynamic structure (workflows, division, graph rewrites)

Process-Bigraph is the execution core of Vivarium 2.0, designed to integrate models built with different formalisms—including ODEs, FBA, agent-based models, spatial solvers, and machine-learning components—into a single coherent simulation.

Process Bigraph composition framework


🧩 What is a Process Bigraph?

A process bigraph combines:

  • Typed stores — hierarchical, schema-validated state defined with bigraph-schema
  • Processes — executable components with explicit input/output ports
  • Composites — encapsulated sub-simulations with their own internal structure
  • Orchestration patterns — multi-timestepping, directed workflows, and event-driven rewrites

Processes do not mutate state directly. Instead, they emit typed deltas that are merged by the runtime.

This allows:

  • numerical updates
  • structural rewrites
  • scheduling and orchestration

to coexist under a single execution semantics.

In this sense, Process-Bigraph is a composition protocol, not a domain-specific simulator.


📄 Paper reference

The conceptual framework and formal semantics of process bigraphs are introduced in:

Agmon, E. & Spangler, R. K.
Process Bigraphs and the Architecture of Compositional Systems Biology
https://arxiv.org/abs/2512.23754


🚀 Getting Started

Installation

pip install process-bigraph

📘 Tutorials

The Process-Bigraph tutorials are executable Jupyter notebooks, rendered to HTML and published automatically on GitHub Pages.

Learning Path (Featured Tutorials)

More tutorials are added continuously and appear automatically in the index.

Topic Guides

  • Emitters — Recording Simulation Results Built-in emitters (RAM, console, JSON, SQLite), how to wire them, retrieve results, store runs long-term, and write your own. doc/emitters.md

🧪 Reference Implementation: spatio-flux

Process-Bigraph is exercised end-to-end in spatio-flux, a multiscale reference model built entirely using the process-bigraph protocol.

spatio-flux composes spatial fields, particle dynamics, and metabolic processes using typed shared state and declarative orchestration.

GitHub: https://github.com/vivarium-collective/spatio-flux
Live test report: https://vivarium-collective.github.io/spatio-flux/report/index.html


🔗 Related Resources


📜 License

Process-Bigraph is open-source software released under the
Apache 2 License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

process_bigraph-1.5.0.tar.gz (118.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

process_bigraph-1.5.0-py3-none-any.whl (127.3 kB view details)

Uploaded Python 3

File details

Details for the file process_bigraph-1.5.0.tar.gz.

File metadata

  • Download URL: process_bigraph-1.5.0.tar.gz
  • Upload date:
  • Size: 118.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for process_bigraph-1.5.0.tar.gz
Algorithm Hash digest
SHA256 b408a69f2719e7520dd2b7f31a446d97a92eb946d7c69fc4d87e7baf4a4195b3
MD5 3145067af8359b41af24f8711a9a4c6e
BLAKE2b-256 82b17454c11c1d6eb5d75b28ae1b7e440f156e548fb03346d86ce23bb542050d

See more details on using hashes here.

Provenance

The following attestation bundles were made for process_bigraph-1.5.0.tar.gz:

Publisher: release.yml on vivarium-collective/process-bigraph

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file process_bigraph-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: process_bigraph-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 127.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for process_bigraph-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 29da1015a51fc9ccd07e4838ed86ce8a37cf9872ea457b9f3e638261d8efa23e
MD5 a0bf3db66ff410e849f872a1b13f6bac
BLAKE2b-256 552051940f2a086ad2c1c6a99716714c1ba47dfc937dd1c029c8bdcebd1aca82

See more details on using hashes here.

Provenance

The following attestation bundles were made for process_bigraph-1.5.0-py3-none-any.whl:

Publisher: release.yml on vivarium-collective/process-bigraph

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page