The Syndemic Lab's RESPOND Simulation Python Extension Module.
Project description
RESPONDPY
:snake: Welcome to RESPOND for Python! :snake: This repository acts as a set of python bindings for the Syndemics Lab's RESPOND model. As such, it is simply a set of wrappers and helper functions for ease of use in various lab projects. Our project can be installed from PyPI or built locally.
RESPOND
RESPOND is a simulation model developed by the Syndemics Lab at Boston Medical Center to study the various cost-effectiveness impacts of different treatment options for substance use disorders (SUD). While originally built to study opioid use disorder (OUD), RESPOND is a Markov model with the ability to scale to encompass various drug use behaviors and treatment approaches or venues. This repository adds bindings and helper functions to easily work with SQLite. The original RESPOND model is written in R and C++ and can be found on GitHub.
Pybind11
This tool makes use of the popular tool Pybind11. From here, we expose bindings for users to connect to via Python.
Building and Installing
The bindings are available on PyPI! They can be installed via pip install respondpy.
If you want to build the project locally, we make use of scikit-build-core along with CMake to build the library. To build locally, you can clone the repository here.
git clone git@github.com:SyndemicsLab/respondpy.git
uv sync
uv build
This results in a wheel and tar.gz being placed in a dist/ directory. From here, we use uv to include it in other projects. Future work would be to allow for building device independent wheels and publishing to PyPI where we could install anywhere.
Supported OSes
We are currently working on supporting as many OSes as possible. As these are bindings for a C++ project, we are limited in our capacity. For the moment, we are generating many linux builds for python versions >= 3.10. We do not have a Windows or Mac build at the present.
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Source Distribution
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