stdgrimmsim 0.1.1

A library of population genetic simulation models for German folklore and mythology

stdgrimmsim

Disclaimer: This project is under development. Do not use it in production or for serious work yet. APIs and the catalog may change without notice.

Install: pip install stdgrimmsim · Docs: stdgrimmsim.readthedocs.io

A community-maintained library of population genetic simulation models for German folklore, fairy tales, and mythology, with a strong focus on geographic regions: Bavaria (Bayern), Prussia (Preußen, East Prussia, Masuria), Rhine, Harz, Black Forest, and more.

Forked from stdvoidsim (and ultimately stdpopsim), stdgrimmsim provides fictional but population-genetically plausible demographic models for creatures and spirits from German-speaking folklore. Demographics are tied to real regions (Upper Bavaria, Bavarian Forest, East Prussia, Kurische Nehrung, Masurian Lakes, etc.). All models use realistic population genetic parameters and are fully simulatable with msprime and SLiM.

26 species, 160+ demographic models — Bavaria, Prussia, Saxony, Pomerania, Lower Saxony/Bremen, Thuringia/Hesse, and more Grimm fairy-tale species.

Available Species

Fairy tale & Grimm

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
ZweBerg	Zwergus bergensis	Bergzwerg (Mountain Dwarf)	80,000	25 yr	2
FraHol	Holle hesseensis	Frau Holle (KHM 24)	60,000	30 yr	2
KobHau	Koboldus domesticus	Kobold (house spirit)	200,000	15 yr	2
HeiCol	Heinzelmaennchen coloniensis	Heinzelmännchen (Cologne)	300,000	8 yr	2
RumSti	Rumpelstilzchen thuringiensis	Rumpelstiltskin (KHM 55)	48,000	22 yr	2
SieRab	Corvus septem ravens	Seven Ravens (KHM 25)	65,000	18 yr	2
BreSta	Bremer stadtmusikanten	Town Musicians of Bremen (KHM 27)	88,000	14 yr	2
AscPut	Aschenputtel doves	Cinderella doves (KHM 21)	420,000	8 yr	2

Water & river spirits

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
NixRhe	Nixus rhenanus	Nix (Rhine water spirit)	45,000	50 yr	2
LorRhe	Loreley rhenanus	Loreley (Rhine rock spirit)	35,000	40 yr	2
FeeFlu	Flussfee aquaticus	Flussfee (River Fairy)	55,000	30 yr	2

Bavaria (Bayern)

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
WolBay	Wolpertingerus bavarius	Wolpertinger (Bavarian hybrid)	95,000	12 yr	2
BerAlp	Berchta alpina	Berchta / Perchta (Alpine winter)	42,000	35 yr	2
MooBay	Moosweib bavaricum	Moosweib (Bavarian Forest)	38,000	28 yr	2

Demographic models use Upper Bavaria (Oberbayern), Bavarian Forest (Bayrischer Wald), Allgäu, Salzburg, Tyrol, Oberpfalz.

Prussia (Preußen)

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
PukPru	Puk prussicus	Puk (Prussian house spirit)	180,000	18 yr	2
OstBal	Ostpreussius balticus	East Prussian Baltic spirit	28,000	55 yr	2
MasLak	Masurius lacustris	Masurian lake spirit (Masuren)	32,000	48 yr	2

Demographic models use East Prussia (Ostpreußen), West Prussia, Berlin–Brandenburg, Kurische Nehrung (Curonian Spit), Memelland, Samland, Masurian Lakes, Spirdingsee (Śniardwy), Mauersee (Mamry).

Saxony (Sachsen) & Pomerania (Pommern)

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
SaxErz	Bergmann erzgebirgensis	Erzgebirge spirit (Ore Mountains)	72,000	28 yr	2
PomBal	Pommersch balticus	Pomeranian Baltic spirit	36,000	52 yr	2

Demographic models use Erzgebirge, Vogtland, Dresden region (Saxony); Usedom, Rügen, Stettin (Pomeranian Baltic).

Thuringia & Hesse (Grimm heartland)

Rumpelstiltskin (RumSti) and other Grimm species use Thuringia (Thüringen) and Hesse (Hessen) populations — the core Grimm fairy-tale region.

Lower Saxony & Bremen

Town Musicians of Bremen (BreSta) use Bremen, Lower Saxony (Niedersachsen), Lüneburg Heath (Lüneburger Heide).

Mountain & regional mythology

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
RueHar	Ruebezahl harzensis	Rübezahl (mountain spirit)	15,000	100 yr	2
SchWar	Silvani schwarzwaldensis	Black Forest spirit	120,000	20 yr	2
LinDra	Lindwurm draconicus	Lindwurm (Dragon)	2,000	200 yr	2

Beings & hauntings

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
WilJae	Wildjaeger germanicus	Wilde Jagd (Wild Hunt)	25,000	60 yr	2
WerWol	Werwolfus lupinus	Werwolf (Werewolf)	10,000	20 yr	2
ErlKoe	Erlkoenig sylvestris	Erlkönig (Alder King)	30,000	45 yr	2
AlpNac	Alpus nocturnalis	Alp (nightmare spirit)	150,000	10 yr	2

Dragons & medieval bestiary

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
LinDra	Lindwormis draco	Lindworm (dragon)	5,000	60 yr	2
DraFeu	Draco feuerspeiensis	Firedrake (fire dragon)	8,000	50 yr	2
BasRex	Basiliscus rex	Basilisk (serpent king)	5,000	80 yr	2

Pre-Christian & tribal Germanic

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
JotRie	Jotunnus riesensis	Frost Giant (Jotun)	3,000	150 yr	2
ValKri	Valkyria kriegensis	Valkyrie (battle chooser)	12,000	100 yr	2

17th-18th century folklore

ID	Species	Common Name	Pop Size	Gen Time	Ploidy
HexWal	Hexara walpurgis	Walpurgis Witch (Brocken)	25,000	30 yr	2
MueGei	Muellerin geisterhaft	Mill Ghost (Mühlengeist)	40,000	20 yr	2

Quick Start

import stdgrimmsim

# Get the mountain dwarf species (Schwarzwald / Harz)
species = stdgrimmsim.get_species("ZweBerg")

# Use the Black Forest single-population demographic model
model = species.get_demographic_model("BlackForest_1D12")

# Set up a generic contig of 100kb
contig = species.get_contig(length=100_000)

# Simulate with msprime
engine = stdgrimmsim.get_engine("msprime")
ts = engine.simulate(model, contig, samples={"BlackForest": 20}, seed=42)

print(f"Trees: {ts.num_trees}, Mutations: {ts.num_mutations}")

CLI Usage

# List all available species
stdgrimmsim --help

# Simulate 10 Black Forest dwarf samples
stdgrimmsim ZweBerg -d BlackForest_1D12 -o dwarves.trees -L 100000 BlackForest:10

# Simulate Nix (water spirit) from Rhine and Elbe
stdgrimmsim NixRhe -d RhineElbe_2D12 -o nix.trees -L 50000 Rhine:10 Elbe:10

# Bavaria: Wolpertinger (Upper Bavaria + Bavarian Forest)
stdgrimmsim WolBay -d UpperBavariaBavarianForest_2D12 -o wolpertinger.trees -L 50000 UpperBavaria:10 BavarianForest:10

# Prussia: Puk (East Prussia and Berlin–Brandenburg)
stdgrimmsim PukPru -d EastPrussiaBerlinBrandenburg_2D12 -o puk.trees -L 50000 EastPrussia:10 BerlinBrandenburg:10

Installation

From PyPI (once published):

pip install stdgrimmsim

From source (editable):

pip install -e .

SLiM engine (optional)

To run simulations with the SLiM engine instead of msprime, install SLiM and ensure slim is on your PATH. Use SLiM 3.x (e.g. 3.7); the generated scripts target the SLiM 3 API.

stdgrimmsim ZweBerg -d BlackForest_1D12 -e slim -o dwarves.trees -L 10000 BlackForest:10

Development with uv

uv makes installing and running tests fast. Install uv (pip install uv or brew install uv), then from the repo root:

make install    # editable install + dev/CI dependencies
make test       # run test suite
make test-cov   # run tests with coverage
make quick-sim  # run quick simulation check (.test/run_simulation.py)

Or without Make: uv pip install -e ., uv pip install -r requirements/CI/requirements.txt, then uv run pytest -v tests.

Releasing to PyPI

The package uses setuptools_scm for versioning; the version is read from git tags. To publish a release to PyPI:

1. One-time: Create a PyPI account and an API token at pypi.org/manage/account/token/. Add the token as repository secret PYPI_API_TOKEN in GitHub (Settings → Secrets and variables → Actions).
2. Each release: Tag the commit with a semantic version and push. The GitHub Action will build and upload to PyPI:

   git tag v0.1.0
   git push origin v0.1.0
   

   Use a new tag for each release (e.g. v0.1.1, v0.2.0). To test without publishing, use Test PyPI and set TWINE_REPOSITORY_URL in the workflow or run twine upload --repository-url https://test.pypi.org/legacy/ dist/* locally.

Design Philosophy

Each species has:

• Made-up but internally consistent genome: chromosome counts, lengths, ploidy, mutation rates, and recombination rates chosen to reflect the creature's biology
• Demographic models: population size changes, bottlenecks, splits, and migrations that reflect regional folklore and fairy-tale settings (Bavaria, Prussia, Black Forest, Harz, Rhine, Masuria, etc.)
• Simulatable parameters: all values are chosen so that simulations complete in reasonable time and produce meaningful coalescent trees

The models are designed to be useful for testing population genetic inference methods on non-standard demographic scenarios (bottlenecks, splits, migrations) in a fun, folklore-themed setting.

Citation

This project is a fork of stdvoidsim and stdpopsim. If you use the simulation framework, please cite:

• Adrion, et al. (2020)
• Lauterbur, et al. (2023)

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