wh40kdc

The 40kdc Warhammer 40K dataset behind a linked, typed API — find units, follow them to their weapons, abilities, phases, and factions. The Python counterpart to @alpaca-software/40kdc-data (npm) and wh40kdc (crates.io), held in behavioral lockstep with both by the shared conformance corpus in the 40kdc-data repository.

pip install wh40kdc

from wh40kdc import Dataset

ds = Dataset.embedded()
unit = ds.units.find("Khârn the Betrayer")
for weapon in unit.weapons:
    print(weapon.name)

What ships:

  • Linked dataset API — Dataset with id/name lookups (diacritic- and punctuation-insensitive), reverse indexes, and join queries across units, weapons, abilities, phases, and factions.
  • Importers — ListForge, NewRecruit (JSON / WTC-compact / WTC-full / simple), GW app export, and Rosterizer, all resolving to one Roster shape.
  • Exporters — the same roster formats back out, byte-identical to the TypeScript and Rust implementations.
  • Cruncher — the damage-projection engine (attacks → hits → wounds → unsaved → damage → after-FNP → models-killed) with buff resolution and per-buff attribution.
  • Scoring, terrain, translation — secondary-mission scoring, terrain layout resolution and keystone measurements, and the ability-DSL / scoring-card describers.
  • Validator — validate(target, value) against the canonical JSON Schemas, emitting the closed error-code enum shared by all implementations.

The conformance runner (used by the cross-implementation parity differ) is invoked as python -m wh40kdc.runner — see conformance/RUNNER_PROTOCOL.md in the repository.

Development

cd python
uv venv && uv pip install -e ".[dev]"
pytest          # includes the conformance suite when run inside the repo
ruff check .
mypy src

Generated artifacts (_bundle.json, _spec.py, _types.py, src/wh40kdc/schemas/) are produced by the scripts in codegen/ and checked for drift in CI — regenerate with:

python3 codegen/sync_bundle.py && python3 codegen/sync_spec.py && python3 codegen/gen_typeddicts.py

License

MIT. The schema content the dataset describes is CC0; enrichment data is CC BY 4.0 — see the repository's licensing table.

Project links

Data verified by PyPI on Aug 31, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.4.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for TheAlpacalypse from gravatar.com TheAlpacalypse

Credits

Author: Alpaca Software

GitHub Statistics

Data verified by PyPI on Aug 31, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Provides Extra

dev

Tags

40k dataset schema wargaming warhammer

Classifiers

Report project as malware

Download files

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

Source Distribution

wh40kdc-1.3.4.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

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

wh40kdc-1.3.4-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file wh40kdc-1.3.4.tar.gz.

File metadata

  • Download URL: wh40kdc-1.3.4.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for wh40kdc-1.3.4.tar.gz
Algorithm Hash digest
SHA256 3e39753e53fd9e38d065376f29d17ca386c9d7643b5d498d3f8006d1032c53d6
MD5 2af049ef085693a83b2dc8322d607a79
BLAKE2b-256 e8db30b96eaa752f794aecdd2d8bcf8d9df7bcec1988100d32f5dc1004b763f1

See more details on using hashes here.

Provenance

The following attestation bundles were made for wh40kdc-1.3.4.tar.gz:

Publisher: validate.yml on wn-mitch/40kdc-data

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

File details

Details for the file wh40kdc-1.3.4-py3-none-any.whl.

File metadata

  • Download URL: wh40kdc-1.3.4-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for wh40kdc-1.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 09ad4e0456f67032c533d74b88be7b8dea153f0d0a840827bc5f5224e2d4e3d6
MD5 4ddb15e0348092dab5109c2c966c2095
BLAKE2b-256 f1f650407e1d8b33f82f90eabaa1e15d92d1a3273cfd003fde47549896aa929a

See more details on using hashes here.

Provenance

The following attestation bundles were made for wh40kdc-1.3.4-py3-none-any.whl:

Publisher: validate.yml on wn-mitch/40kdc-data

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

Release history Release notifications | RSS feed

1.4.1

2 files

1.4.0

2 files

1.3.5

2 files

This release

1.3.4 This release

2 files

1.3.3

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.0.28

2 files

1.0.27

2 files

1.0.26

2 files

1.0.25

2 files

1.0.24

2 files

1.0.23

2 files

1.0.22

2 files

1.0.21

2 files

1.0.20

2 files

1.0.19

2 files

1.0.18

2 files

1.0.17

2 files

1.0.16

2 files

1.0.15

2 files

1.0.14

2 files

1.0.13

2 files

1.0.11

2 files

1.0.10

2 files

1.0.9

2 files

1.0.8

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.1

2 files

1.0.0

2 files

0.5.18

2 files

0.5.17

2 files

0.5.16

2 files

0.5.15

2 files

0.5.14

2 files

0.5.12

2 files

0.5.11

2 files

0.5.5

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page