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 Jul 7, 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 Jul 7, 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-1.0.22.tar.gz (962.1 kB view details)

Uploaded Source

Built Distribution

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

wh40kdc-1.0.22-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file wh40kdc-1.0.22.tar.gz.

File metadata

  • Download URL: wh40kdc-1.0.22.tar.gz
  • Upload date:
  • Size: 962.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for wh40kdc-1.0.22.tar.gz
Algorithm Hash digest
SHA256 c4d8a8ee45ac71c19dc96d3d01d7610733b811620d7c2cebb6b03f1ab7a57688
MD5 643fb37bb250da5f18bfbad274ce1d22
BLAKE2b-256 53c4f56c81f32c7733a0d8f5b8a5b7cd084931813ea2a61adac9faeecd5df0bc

See more details on using hashes here.

Provenance

The following attestation bundles were made for wh40kdc-1.0.22.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-1.0.22-py3-none-any.whl.

File metadata

  • Download URL: wh40kdc-1.0.22-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for wh40kdc-1.0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 809a7aa65c3454b6b10a6c1e1c2f44d23f0b111c39e0e21d9d15af6c3633cc7b
MD5 728cd37cafdad27ace37ba0bbb4bd5b1
BLAKE2b-256 a08eae4e90aaec39f3611ce91f29c9760a45ae958938e0c4ac876ed05bdba68a

See more details on using hashes here.

Provenance

The following attestation bundles were made for wh40kdc-1.0.22-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

1.3.4

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

This release

1.0.22 This release

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