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ballistics-engine

High-performance ballistics trajectory engine with professional physics modeling.

Features

  • Professional-grade trajectory calculations with multiple drag models (G1, G7, G8)
  • Advanced physics including wind effects and atmospheric modeling
  • Fast Rust implementation with Python bindings via PyO3
  • Imperial units API (grains, fps, yards, inches) with automatic metric conversion

Installation

pip install ballistics-engine

Quick Start

from ballistics_engine import BallisticInputs, TrajectorySolver, WindConditions, AtmosphericConditions, DragModel

# Create ballistic inputs (all imperial units)
inputs = BallisticInputs(
    bc=0.505,                        # G7 BC
    bullet_weight_grains=168,        # grains
    muzzle_velocity_fps=2650,        # feet per second
    bullet_diameter_inches=0.308,    # inches
    bullet_length_inches=1.24,       # inches
    sight_height_inches=1.5,         # inches above bore
    zero_distance_yards=100,         # yards
    twist_rate_inches=11.25,         # inches per turn
)
inputs.drag_model = DragModel.g7()  # Use G7 drag model

# Create wind conditions (optional)
wind = WindConditions(
    speed_mph=10,                    # mph
    direction_degrees=90,            # degrees (0=headwind, 90=from right)
)

# Create atmospheric conditions (optional)
atmosphere = AtmosphericConditions(
    temperature_f=59,                # Fahrenheit
    pressure_inhg=29.92,             # inHg
    humidity_percent=50,             # percent
    altitude_feet=0,                 # feet
)

# Solve trajectory
solver = TrajectorySolver(inputs, wind=wind, atmosphere=atmosphere)
result = solver.solve()

# Print results
print(f"Max range: {result.max_range_yards:.1f} yards")
print(f"Time of flight: {result.time_of_flight:.2f} seconds")
print(f"Impact velocity: {result.impact_velocity_fps:.1f} fps")
print(f"Impact energy: {result.impact_energy_ftlbs:.1f} ft-lbs")

# Iterate through trajectory points
for point in result.points:
    print(f"Time: {point.time:.2f}s, X: {point.x:.1f}yd, Y: {point.y:.3f}yd, V: {point.velocity_fps:.1f}fps")

Units

The Python API uses imperial units for convenience:

  • Mass: grains (gr)
  • Velocity: feet per second (fps)
  • Distance: yards (yd) and inches (in)
  • Pressure: inches of mercury (inHg)
  • Temperature: Fahrenheit (°F)
  • Wind speed: miles per hour (mph)

All conversions to metric (used internally by the Rust engine) are handled automatically.

API Reference

BallisticInputs

Main input parameters for trajectory calculation.

Parameters:

  • bc (float): Ballistic coefficient
  • bullet_weight_grains (float): Bullet mass in grains
  • muzzle_velocity_fps (float): Muzzle velocity in fps
  • bullet_diameter_inches (float): Bullet diameter in inches
  • bullet_length_inches (float): Bullet length in inches
  • sight_height_inches (float): Sight height above bore in inches
  • zero_distance_yards (float): Zero distance in yards
  • shooting_angle_degrees (float): Uphill/downhill angle in degrees
  • twist_rate_inches (float): Barrel twist rate (inches per turn)
  • is_right_twist (bool): True for right-hand twist (default: True)

WindConditions

Wind parameters.

Parameters:

  • speed_mph (float): Wind speed in mph (default: 0)
  • direction_degrees (float): Wind direction in degrees (0=headwind, 90=from right, default: 0)

AtmosphericConditions

Atmospheric parameters.

Parameters:

  • temperature_f (float): Temperature in Fahrenheit (default: 59)
  • pressure_inhg (float): Barometric pressure in inHg (default: 29.92)
  • humidity_percent (float): Relative humidity percentage (default: 50)
  • altitude_feet (float): Altitude in feet (default: 0)

TrajectorySolver

Trajectory calculation engine.

Methods:

  • __init__(inputs, wind=None, atmosphere=None): Create solver with inputs
  • solve(): Calculate trajectory, returns TrajectoryResult

TrajectoryResult

Trajectory calculation results.

Properties:

  • max_range_yards (float): Maximum range in yards
  • max_height_yards (float): Maximum height in yards
  • time_of_flight (float): Total flight time in seconds
  • impact_velocity_fps (float): Impact velocity in fps
  • impact_energy_ftlbs (float): Impact energy in ft-lbs
  • points (list[TrajectoryPoint]): List of trajectory points

TrajectoryPoint

Individual point along trajectory.

Properties:

  • time (float): Time in seconds
  • x (float): Downrange distance in yards
  • y (float): Vertical position in yards (relative to line of sight)
  • z (float): Lateral position in yards
  • velocity_fps (float): Velocity in fps
  • energy_ftlbs (float): Kinetic energy in ft-lbs

DragModel

Drag model selection.

Static methods:

  • DragModel.g1(): G1 drag model (flat base)
  • DragModel.g7(): G7 drag model (boat tail)
  • DragModel.g8(): G8 drag model (boat tail with meplat)

bridge_call(request_json: str) -> str

The engine's versioned JSON command bridge: one request envelope in, one response envelope out, both as strings. It is a transport onto the engine's own service layer, so it reaches corrections.bc5d_table_path and atmosphere.pressure_reference, which the typed classes above cannot carry at all. It is also the safer route to effects.wind_shear_model: the inputs dict has accepted wind_shear_model for some time, but it takes any string and silently resolves an unrecognised one to the power law, where the bridge validates it and names the offending field.

import json
from ballistics_engine import bridge_call

response = json.loads(bridge_call(json.dumps({
    "api_version": 1,
    "command": "solve",
    "request": {
        "schema_version": 1,
        "projectile": {"mass_kg": 0.01134, "diameter_m": 0.00782, "length_m": 0.0338,
                       "drag_model": "G7", "ballistic_coefficient": 0.243},
        "rifle": {"muzzle_velocity_mps": 823.0, "sight_height_m": 0.0381},
        "shot": {"max_range_m": 1000.0, "zero_distance_m": 100.0},
        "atmosphere": {}, "wind": {"speed_mps": 4.47, "direction_from_rad": 1.5708},
        "solver": {}, "effects": {"wind_shear_model": "logarithmic"},
        "sampling": {"interval_m": 100.0},
    },
})))

if response["ok"]:
    print(response["result"]["samples"][-1])
else:
    print(response["error"]["code"], response["error"]["message"])

Unlike the rest of this API, failures come back inside the returned JSON rather than as a Python exception — a bad envelope, an unknown command or an invalid field all return a well-formed {"ok": false, "api_version": 1, "engine_version": "...", "error": {"code": ..., "message": ...}} document. The wrapper returns the string verbatim; parsing and error handling are the caller's.

Unlike the classes above, the bridge speaks SI units throughout (kg, m, m/s, K, Pa, radians), because it is the engine's own wire contract.

Ask meta.capabilities for the command list this wheel can actually run — it is build-dependent, and this wheel links the engine with default features off, so the PDF- and profile-import-gated commands are not compiled in.

License

Dual licensed under MIT or Apache-2.0.

Metadata

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