Skip to main content

EVEShip.fit's Dogma Engine

crates.io npm PyPI CI docs.rs

Discord

This library calculates accurately statistics of an EVE Online ship fit.

The input are several data-files provided by EVE Online, together with a ship fit. The output are all the Dogma attributes of the ship, its items and the character.

Implementation

This Dogma engine implements a multi-pass approach.

  • pass 1: collect all the Dogma attributes of the hull and modules.
  • pass 2: collect all the Dogma effects of the hull and modules.
  • pass 3: apply all the Dogma effects to the hull/modules, calculating the actual Dogma attribute values.
  • pass 4: augment the Dogma attributes with EVEShip.fit specific attributes, that are too complex for the Dogma itself to handle.

Input and output

calculate takes a fit and options, and returns a calculation. All identifiers are those from the SDE.

Fit

  • name (optional): name of the fit.
  • ship: the ship being fitted.
    • type_id: its type.
    • mode (optional): type ID of the active mode, for ships that have modes. Whether the mode belongs to the ship is not checked.
  • items: everything fitted or carried. Each item has:
    • type_id: its type.
    • slot: where the item is.
      • type: high, medium, low, rig, subsystem, service, fighter_tube, fighter_bay, implant, booster, drone_bay or cargo.
      • index: position within that slot type, starting at 0 (implant and booster starting at 1). Absent for fighter_bay, drone_bay and cargo.
    • quantity (optional, default 1): stack size for drones, fighters and cargo. For fighters in a tube, the squadron size.
    • state: requested state; offline, online, active or overload.
    • charge (optional): the loaded charge, as type_id.
    • mutation (optional): for mutated items (Abyssal modules, mutated drones, ...).
      • base: type ID of the item before it was mutated.
      • attributes: the rolled value per attribute ID.
    • fighter_abilities (optional): the abilities a fighter uses, as effect IDs. Absent means the fighter's default abilities.
    • booster_side_effects (optional): the side effects a booster rolled, as effect IDs. Absent means none.
    • spool (optional): for modules whose bonus grows every cycle, how far it has spooled. Only per-second stats use it; volley is always unspooled. Absent means fully spooled.
      • multiplier_bonus: the bonus reached so far; 0.0 is unspooled, 2.125 is +212.5%.
  • character (optional):
    • skills: level (0 to 5) per skill type ID. A missing skill gives no bonuses.
    • security_status (optional, default 0.0): the pilot's security status, -10.0 to 5.0.
  • environment (optional): where the fit is.
    • damage_profile (optional, default 0.25 each): incoming damage for effective hitpoints, as em, explosive, kinetic and thermal (relative to each other).
    • security (optional, default high_sec): high_sec, low_sec, null_sec or wormhole.
    • reactive_armor (optional, default do_not_adapt): what a Reactive Armor Hardener shifts its resistances towards. do_not_adapt leaves them where EVE shows them, damage_profile shifts towards damage_profile, and {"profile": {..}} shifts towards a profile of its own, written the same way as damage_profile.
  • incoming (optional): what effects and buffs to apply that come from outside the ship. A calculation reports the same shape as outgoing: feed one fit's result into another's incoming links them up.
    • buffs (optional, default none): buffs to apply, like the ones a command burst hands out.
      • id: which buff, as dbuffCollections in the SDE numbers them.
      • value: how strong it is, in whatever the buff's operation reads.
    • effects (optional, default none): effects aimed at the fit, like a stasis webifier.
      • type_id: the type the effect belongs to; its category decides the stacking penalty.
      • effect_id: which effect, as dogmaEffects in the SDE numbers them.
      • attributes: the value per attribute ID the effect reads, worked out by the fit that aimed it.

Options

  • sources (optional, default false): report per attribute what its value was calculated from. Leave it off unless you show it; it makes the calculation several times bigger.

Calculation

  • ship: result for the ship.
  • mode: result for the mode; absent when the fit has no mode.
  • items: one result per item of the fit, in the same order.
  • character: result for the character.
  • buffs: the buffs that landed, ordered by id. Those of incoming, plus the ones the fit's own bursts hand out: a fleet boost reaches the ship running it. What is missing lost to another source of the same buff, or the SDE has no such buff.
    • id: which buff, as dbuffCollections in the SDE numbers them.
    • value: how strong it is, in whatever the buff's operation reads.
  • outgoing: what the fit hands to other fits, in the shape incoming takes.

Each result has:

  • attributes: per attribute ID, its base value before effects and its final value. With the sources option, also sources: every modifier on it, in the order they were applied. Each has:

    • from: where it comes from; type is ship, mode, character, item or charge (with the index into items), projected (with the index into incoming.effects), skill (with its type_id) or buff (with its id).
    • effect_id: the effect that holds the modifier; null for a buff, which has none.
    • source_attribute_id: the attribute on the source that holds value; null for a buff, which carries its own strength.
    • operator: pre_assign, pre_mul, pre_div, mod_add, mod_sub, post_mul, post_div, post_percent or post_assign.
    • value: the value of the modifying attribute, or the strength of the buff.
    • quantity: how many times it counts. A stacking penalised stack is listed once per item instead.
    • penalty: the stacking penalty factor it got, or null if not penalised.
    • applied: false when the source's state is too low for the effect.

    How much each source added is not reported: multiplications compound and stacking penalties depend on order, so there is no single answer.

  • state: the state the item reached, which can be lower than requested.

  • max_state: the highest state the item can reach.

  • charge: result for its charge, if it has one.

EVEShip.fit's specific attributes

Pass 4 create Dogma attributes that do not exist in-game, but are rather complicated to calculate. To make rendering a fit easier, these are calculated by this library, and presented as new Dogma attributes.

Their identifier is always a negative value, to visually separate them. What additional attributes exist are defined in EVEShipFit/sde-patched repository.

Usage

The engine is published for Rust, Javascript and Python; all three calculate the same way. Each hands over sde.dat once, and every lookup after that happens inside Rust. An EFT import matches the English names in sde.dat; hand over names.dat too to also match the other languages EVE supports.

How each package is built is explained under Integration.

Rust

The crate is published on crates.io as esf-dogma-engine. esf-data reads sde.dat.

cargo add esf-dogma-engine esf-data
use esf_data::{InfoSde, Sde};
use esf_dogma_engine::{Fit, Options, beacon, calculate};

let bytes = std::fs::read("sde.dat")?;
let sde = Sde::new(&bytes)?;
let info = InfoSde::new(&sde);

let fit: Fit = serde_json::from_str(
    r#"{
        "ship": {"type_id": 587},
        "items": [
            {
                "type_id": 2873,
                "slot": {"type": "high", "index": 0},
                "state": "active",
                "charge": {"type_id": 185}
            }
        ],
        "character": {"skills": {"3300": 5}}
    }"#,
)?;

let calculation = calculate(&info, &fit, &Options::default());
// Or if you want to know the source of the effects:
let with_sources = calculate(&info, &fit, &Options { sources: true, ..Default::default() });
// Or if you have a beacon in space (like wormhole effects):
let with_beacon = calculate(&info, &Fit { incoming: beacon(&info, beacon_type_id), ..fit }, &Options::default());

Javascript (WebAssembly)

The WebAssembly variant is published on npm as @eveshipfit/dogma-engine. @eveshipfit/sde ships sde.dat in its dist folder; serve or bundle that file.

npm install @eveshipfit/dogma-engine @eveshipfit/sde
import init, { init as initPanicHook, load_sde, load_eft, calculate, beacon } from "@eveshipfit/dogma-engine";

await init();
initPanicHook();

const sde = await fetch("/sde.dat").then((response) => response.arrayBuffer());
const buildNumber = load_sde(new Uint8Array(sde));
const fit = {
  ship: { type_id: 587 },
  items: [{ type_id: 2873, slot: { type: "high", index: 0 }, state: "active", charge: { type_id: 185 } }],
  character: { skills: { 3300: 5 } },
};

const calculation = calculate(fit);
/* Or if you want to know the source of the effects: */
const withSources = calculate(fit, { sources: true });
/* Or if you have a beacon in space (like wormhole effects): */
const withBeacon = calculate({ ...fit, incoming: beacon(beaconTypeId) });
/* Or if you have an EFT, the text format EVE copies a fit to the clipboard in: */
const imported = calculate(load_eft("[Rifter, My Rifter]\n200mm AutoCannon I"));

Python

The Python variant is published on PyPI as eveshipfit-dogma-engine. The sde extra brings in eveshipfit-sde, which ships sde.dat.

pip install eveshipfit-dogma-engine[sde]
import esf_dogma_engine as dogma
from eveshipfit_sde import sde_path

build_number = dogma.load_sde_from_file(sde_path())

fit = {
    "ship": {"type_id": 587},
    "items": [
        {
            "type_id": 2873,
            "slot": {"type": "high", "index": 0},
            "state": "active",
            "charge": {"type_id": 185},
        }
    ],
    "character": {"skills": {3300: 5}},
}

calculation = dogma.calculate(fit)
# Or if you want to know the source of the effects:
with_sources = dogma.calculate(fit, {"sources": True})
# Or if you have a beacon in space (like wormhole effects):
with_beacon = dogma.calculate({**fit, "incoming": dogma.beacon(beacon_type_id)})
# Or if you have an EFT, the text format EVE copies a fit to the clipboard in:
imported = dogma.calculate(dogma.load_eft("[Rifter, My Rifter]\n200mm AutoCannon I"))

Fits and calculations are plain dicts, typed with TypedDict in esf_dogma_engine.types.

load_eft, calculate and beacon release the GIL while they work, so a thread pool calculates fits in parallel.

Development

Make sure you have Rust installed.

Next, we need the data-files. They are Flatbuffers, built by sde-patched and published on npm as @eveshipfit/sde:

npm ci
  • sde.dat holds everything needed to calculate a fit.
  • names.dat holds the type names in the other seven languages EVE supports. It is optional.

English names live in sde.dat, so an EFT-fit written in English imports without it; names.dat is only consulted when a name does not match.

After that, we can run the application.

flatc --rust --gen-onefile -o crates/esf-data/src/sde/ node_modules/@eveshipfit/sde/specs/eve.fbs node_modules/@eveshipfit/sde/specs/names.fbs
cargo run --release -p esf-cli

For example, some attributes of a fit with every skill at L0 except two:

printf '[Nergal, Spool]\nLight Entropic Disintegrator II, Occult S\n' \
  | cargo run --release -p esf-cli -- -l 0 --skill "Gunnery=4" --skill "Rapid Firing=2" -a damage -a speed

It prints a table on a terminal and JSON otherwise; see --help for the rest.

The regression suite reads the same paths; set ESF_SDE and ESF_NAMES to point it elsewhere.

Regression

The engine is locked down by snapshot tests. A case calculates one fit with one set of skills, and compares the result against a stored snapshot in tests/snapshots.

cargo test

If failures are expected differences, use insta to resolve them:

cargo install cargo-insta
cargo insta review

Integration

Every variant is built from the same Rust crates; the flatc step from Development comes first.

Rust

The engine itself is a plain crate; esf-cli is an example of using it.

cargo build --release -p esf-dogma-engine

Javascript (WebAssembly)

The primary goal of this library is to build a WebAssembly variant that can easily be used in the browser. This means that there is no need for a server-component, and everything can be calculated in the browser.

This is done with wasm-pack:

cargo install wasm-pack
wasm-pack build crates/esf-wasm --release --out-dir ../../pkg

In the pkg folder is now a NPM module to use.

Python

This is done with maturin:

cargo install maturin
maturin build --release

In the target/wheels folder is now a wheel to install.

Release files for eveshipfit-dogma-engine 11.0.1

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

Source distribution (sdist)

Source distribution for eveshipfit-dogma-engine 11.0.1
File Size Uploaded
eveshipfit_dogma_engine-11.0.1.tar.gz 81.9 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for eveshipfit-dogma-engine 11.0.1
File
eveshipfit_dogma_engine-11.0.1-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
eveshipfit_dogma_engine-11.0.1-cp310-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.10 abi3 macOS 11.0+ ARM64, macOS 10.12+ x86-64, macOS 10.12+ universal2 (ARM64, x86-64) Details

Total release size: 2.6 MB

Release files / eveshipfit_dogma_engine-11.0.1.tar.gz

Download URL eveshipfit_dogma_engine-11.0.1.tar.gz
Size 81.9 kB
Tags Source
SHA-256 checksum
How to use checksums
fcdae9a72f273b401bd129994cf646dfdd1d93b59ae9a6992ff9b52cfebe4924
BLAKE2b-256 checksum
How to use checksums
3396d1199256b1c3fe566633765d46401877163750a30d4522f0615629d814c7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / eveshipfit_dogma_engine-11.0.1-cp310-abi3-win_amd64.whl

Download URL eveshipfit_dogma_engine-11.0.1-cp310-abi3-win_amd64.whl
Size 394.8 kB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
c56f5977529a5f48c6cb643de62b323a04f2af642ff7d66ce38484e0642e642c
BLAKE2b-256 checksum
How to use checksums
25da7bd0b4253260e0ee759929d523a619834b65b3f913681d38151447c1e98e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 559.3 kB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
802a8ede24d7d545d7cb098489d37b4ddee8d64da8eb1780aa2fce981151049c
BLAKE2b-256 checksum
How to use checksums
3d504ff5e2abef1aaa8ce08ea186829c9660cc5edb2527b3325fca73a81b59b0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL eveshipfit_dogma_engine-11.0.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 538.9 kB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
3672e89e919b92e2d18ebabf647e86bd0968eaf2db27a5d82f96c788897f878e
BLAKE2b-256 checksum
How to use checksums
595953ef6a8f1698c814f3415b3ad194f3d4146b85faea734096bfffbe704bc0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / eveshipfit_dogma_engine-11.0.1-cp310-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl

Download URL eveshipfit_dogma_engine-11.0.1-cp310-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Size 989.1 kB
Tags CPython 3.10 abi3 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
45d7f46d22a0572341b88437185ac5aa7213149e8ac18b43cd310dad04f11e19
BLAKE2b-256 checksum
How to use checksums
d8229b1724125521ca80a660df8d2bdc354993752a00756d983d5276d5d7e909
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release history Release notifications | RSS feed

12.0.0

5 release files

11.2.0

5 release files

11.1.0

5 release files

This release

11.0.1 This release

5 release 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