SUND toolbox

SUND logo

SUND (Simulation Using Nonlinear Dynamic models) is a Python package for high‑level, object‑oriented modeling and fast simulation of ODE/DAE systems with complex time‑dependent inputs and hierarchical model structures. Models compile against a SUNDIALS backend for performance and can be seamlessly connected by declaring inputs and outputs.

Supported Python: 3.10–3.14 on Linux (x86_64), Windows (x86_64) and macOS (Intel & ARM).

Requirements

A C++ compiler (GCC, Clang, or MSVC) is required to install SUND and to compile models for efficient simulations. Pre-built wheels are not provided, as model compilation is performed locally. Ensure your system has a working C++ compiler before installing.

Install

Install using pip or uv (requires compiler):

pip install sund   # or: uv add sund

Quick start

Minimal end‑to‑end example:

import sund

# 1. Generate a template model file
sund.save_model_template("example_model.txt", model_name="Example")

# 2. Install (compiles → C extension module under sund/models)
sund.install_model("example_model.txt")

# 3. Load an instance
model = sund.load_model("Example")

# 4. Simulate (time vector in model time unit; default from template is 's')
sim = sund.Simulation(models=[model], time_vector=[0, 1, 2, 3], time_unit=model.time_unit)
sim.simulate()

# 5. Get the results as a dict and print
print(sim.features_as_dict())

See the docs for activities (time‑varying inputs), multiple models, events, validation.

Documentation

Full user & API docs: https://isbgroup.eu/sund-toolbox (versioned; latest alias always points to newest release).

Model validation (optional)

Validate a model file or content before installing:

import sund
results = sund.validate_model_file("example_model.txt", verbose=True)

Citation

If you use SUND in academic work, please cite the project (formal citation text will be added once available).

Getting help

Open an issue or start a discussion on the project GitLab. Bug reports with a minimal reproducer and model snippet are appreciated.

Metadata

Release files for sund 2.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sund 2.6.0
File	Size	Uploaded
sund-2.6.0.tar.gz	391.6 kB	Oct 12, 2026	Details

Release files / sund-2.6.0.tar.gz

Download URL	sund-2.6.0.tar.gz
Size	391.6 kB
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SHA-256 checksum How to use checksums	`d87e16d9e1e8eecdc405063747c7122f362e44ab70152774ee62ff83109e634c`
BLAKE2b-256 checksum How to use checksums	`328dee19697d8cf92eb54f88b4b53cba4766e03571d28a02590563ae77aec742`
Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.5`