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pin-pink

Inverse kinematics for articulated robot models, based on Pinocchio.

Worth itPyPI Scientific/EngineeringReleased Jul 2026264.0K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pin_pink-4.3.0-py3-none-any.whl
v4.3.0 · released 2026-07-15 · Python >=3.10 · 5 runtime deps: loop-rate-limiters, numpy, pin, qpsolvers, typing-extensions

Yes. Pink is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively. It is production-stable and well-suited for anyone building task-based inverse kinematics solvers for articulated robots. Install it if you need to control multi-objective robot motion; skip it if you only need forward kinematics or single-task IK.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a Pinocchio robot model and configuration object; the package expects numpy arrays and assumes familiarity with robot kinematics concepts (Jacobians, task residuals).
  • Low install friction with a pure Python wheel.
  • Active maintenance with a recent release 30 days ago and steady repository activity.

License · maintenance · safety

permissive license (permissive) — Licensed under Apache 2.0 (permissive), allowing commercial and private use with minimal restrictions.

last release 2026-07-15 (30 days) · last repo commit 2026-07-25 · 817 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 264,025 downloads/mo, #8,345 on PyPI

Verify before relying

pip install pin-pink

from pink.tasks import FrameTask, PostureTask
from pink import Configuration, solve_ik
import numpy as np

tasks = {
    "base": FrameTask("base", position_cost=1.0, orientation_cost=1.0),
    "posture": PostureTask(cost=1e-3),
}
dt = 6e-3
for t in np.arange(0.0, 10.0, dt):
    velocity = solve_ik(configuration, tasks.values(), dt, solver="quadprog")
    configuration.integrate_inplace(velocity, dt)
  • Whether Pinocchio must be pre-installed or is handled as a transitive dependency through the listed runtime deps.
  • Performance characteristics when solving IK for robots with many degrees of freedom.
  • Compatibility with specific robot description formats beyond URDF.
Same gist for agents: .md · .json

What it is and what it does

Pink is a Python inverse kinematics solver built on top of Pinocchio for controlling articulated robots. It formulates robot motion as a set of weighted tasks—such as positioning a foot, orienting a base, or maintaining a preferred posture—and solves a quadratic program to compute joint velocities that satisfy all tasks simultaneously while respecting joint limits. The solver handles task conflicts by normalizing objectives and weighting them relative to each other, making it suitable for complex multi-objective control problems on robots ranging from simple arms to humanoids and quadrupeds.

The package provides a task-based API where you define residual functions (e.g., desired frame position minus current position) and costs, then call solve_ik to get a velocity command. It integrates with Pinocchio's robot models and supports floating-base velocity limits for robots with free-flyer or planar bases. The solver outputs differential velocities that can be integrated over time to reach target configurations, or continuously tracked if targets change.

Use it for

  • Control a multi-limb robot (humanoid, dual-arm, or quadruped) to simultaneously achieve multiple frame and posture objectives.
  • Solve inverse kinematics for a manipulator arm with end-effector position and orientation targets plus joint regularization.
  • Track moving targets in real-time by continuously updating task targets and integrating the solver's velocity output.
  • Enforce floating-base velocity limits on legged robots to clamp commanded linear and angular velocities.
  • Resolve conflicting task objectives (e.g., foot contact vs. base orientation) by weighting normalized costs.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Pink is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively. It is production-stable and well-suited for anyone building task-based inverse kinematics solvers for articulated robots. Install it if you need to control multi-objective robot motion; skip it if you only need forward kinematics or single-task IK.

Install

pin-pink on PyPI

Before you install

Low install friction with a pure Python wheel. Active maintenance with a recent release 30 days ago and steady repository activity. Supports current Python versions (3.10–3.14).

Requires a Pinocchio robot model and configuration object; the package expects numpy arrays and assumes familiarity with robot kinematics concepts (Jacobians, task residuals).

License in practice

Licensed under Apache 2.0 (permissive), allowing commercial and private use with minimal restrictions.

Quickstart

pip install pin-pink

from pink.tasks import FrameTask, PostureTask
from pink import Configuration, solve_ik
import numpy as np

tasks = {
    "base": FrameTask("base", position_cost=1.0, orientation_cost=1.0),
    "posture": PostureTask(cost=1e-3),
}
dt = 6e-3
for t in np.arange(0.0, 10.0, dt):
    velocity = solve_ik(configuration, tasks.values(), dt, solver="quadprog")
    configuration.integrate_inplace(velocity, dt)

Verify before relying

  • Whether Pinocchio must be pre-installed or is handled as a transitive dependency through the listed runtime deps.
  • Performance characteristics when solving IK for robots with many degrees of freedom.
  • Compatibility with specific robot description formats beyond URDF.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
loop-rate-limitersnumpypinqpsolverstyping-extensions
MaintenanceActively maintained 30 days since the last release
Last repo commit
First released
Downloads264,025 / month, #8,345 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableFramework :: Robot Framework :: LibraryIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering

Evidence: pin_pink-4.3.0-py3-none-any.whl

Tags

Capabilities
inverse kinematics robotdifferential IK solvertask-based robot controlpinocchio inverse kinematicsrobot motion planningarticulated robot kinematicsweighted task optimization
Topics
roboticskinematicsoptimization
PyPI keywords
inversekinematicspinocchio

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See also mink · dex-retargeting · pin · toppra · libpinocchio · quadprog · robosuite · python-motion-planning · daqp