assembly-theory: Open, Reproducible Calculation of Assembly Indices

The Journal of Open Source Software 2026 Open access

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Authors: Devansh Vimal, Garrett Parzych, Olivia M. Smith, Devendra Parkar, Holly Bergen, Joshua J. Daymude, Cole Mathis
DOI: 10.21105/joss.09318
Cited by: 0
References: 18

Abstract

We present assembly-theory, an open-source, high-performance library for computing assembly indices of covalently bonded molecular structures.This is a key complexity measure of assembly theory, a recent theoretical framework quantifying evolutionary selection across chemical, biological, and engineered systems.assembly-theory is designed for researchers and practitioners alike, providing (i) extensible, high-performance Rust implementations of assembly index calculation algorithms, (ii) comprehensive tests and benchmarks against which current and future algorithmic improvements can be evaluated, and (iii) Python bindings to support integration with existing computational pipelines.

Fields of Study & Subjects

Manufacturing Process and Optimization

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
117
Pages
9318–9318
Publication date
6 January 2026
Language
EN