openballistics 0.3.0

High-performance Python library for computing ballistic trajectories and firing solutions

OpenBallistics is a lightweight, header-only C++ library with native Python bindings for high-fidelity external ballistics simulation. It is built to reliably answer two core questions: Where will this projectile land? and How do I need to aim to hit my target?

Capabilities

• Trajectory Prediction: Compute a projectile's final impact position or full sampled flight path over a given time of flight.
• Direction Optimizer: Find the best-effort launch direction or angles toward a stationary target at a known time of flight.
• Direction Solver: Find the required launch direction or angles to hit a stationary target, returning no solution if miss distance exceeds a threshold.
• Time-of-Flight Optimizer: Find the time of flight that brings the projectile closest to a stationary target, given a fixed launch direction.
• Time-of-Flight Solver: Find the time of flight that hits a stationary target within a miss distance threshold, given a fixed launch direction.
• Intercept Solver: Jointly solve launch direction and time of flight to intercept a moving target given its position as a function of time.

All solvers accept an optional platform velocity to account for a moving launcher, and support earliest or latest solution priority where applicable.

Physics Models

• Aerodynamics: Mach-dependent drag, yaw drag, lift, Magnus force, overturning and spin damping moments — configurable as a constant, curve function, or lookup table.
• Environment: Temperature, pressure, gravity, and 3D wind — configurable as a constant, altitude profile, or spatial field.
• Frame of Reference: Local Cartesian, X-east, Y-north, Z-up.

The trajectory model closely follows STANAG 4355 and McCoy's Modern Exterior Ballistics as primary technical references.

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Python

Install

pip install openballistics

Example

import numpy as np
import openballistics as ob

solver = ob.Ballistics(
    model="pm",
    integrator="rk45",
    environment="isa",
    projectile=ob.Projectile(mass=0.1, diameter=0.02, drag_force_coefficient=0.2),
)

def jet(t: float):
    return np.array([
        69.0 + 340.0 * t,
        420.0 + 1000.0 * np.sin(0.5 * t),
        1000.0 + 200.0 * np.cos(0.5 * t),
    ])

solution = solver.solve_launch_direction_and_time_of_flight(
    launch_position=[0.0, 0.0, 0.0], # z is up
    max_time_of_flight=67.0,
    muzzle_velocity=900.0,
    target_position=jet,
)

if not solution:
    print("No valid firing solution found.")
    exit(1)

direction, tof = solution
impact_pos = solver.compute_final_position(
    launch_position=[0.0, 0.0, 0.0],
    launch_direction=direction,
    muzzle_velocity=900.0,
    time_of_flight=tof,
)

np.set_printoptions(precision=3, suppress=True)
print(f"Launch Direction: {direction}")
print(f"Time of Flight  : {tof:.3f} s")
print(f"Bullet Intercept: {impact_pos} m")
print(f"Miss Distance   : {np.linalg.norm(impact_pos - jet(tof)):.3f} m")

Output

Launch Direction: [0.61  0.643 0.464]
Time of Flight  : 3.666 s
Bullet Intercept: [1315.367 1385.849  948.179] m
Miss Distance   : 0.000 m

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Contributors

License

MIT © Ariyudo Pertama