skillfed

pin

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

pin v4.1.0 1.1M downloads/30d#4,365 on PyPI3
Permissive license BSD-3-Clause Active released

What it is and what it does

pin is a Python binding to a high-performance C++ library for rigid-body dynamics computations. It implements algorithms for forward and inverse kinematics, forward and inverse dynamics, centroidal dynamics, and contact dynamics, all with analytical derivatives suitable for gradient-based optimization. The library is built on Eigen for linear algebra and coal for collision detection, and supports multiple robot description formats (URDF, SDF, MJCF, SRDF) as well as programmatic model construction.

Designed primarily for robotics, pin handles closed-loop kinematic mechanisms, frictional contact problems, and sparse constrained dynamics. The C++ template design allows compile-time specialization and custom scalar types, while the Python interface enables rapid prototyping. The library is actively maintained and extensively tested across Windows, macOS, and Linux platforms.

Use it for:

  • Computing forward and inverse kinematics and dynamics for robot control and trajectory optimization.
  • Gradient-based robot motion planning and learning using analytical derivatives of dynamics algorithms.
  • Simulating closed-loop mechanisms and frictional contact in physics-based applications.
  • Identifying system parameters via kinematic and dynamic regressors for system identification.
  • Prototyping hierarchical control frameworks and differential dynamic programming solvers.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Python interface to a C++ rigid-body dynamics library that computes forward and inverse kinematics, dynamics, and their analytical derivatives for articulated mechanical systems.

Yes, with conditions. Install if you need production-grade rigid-body dynamics and can work with the compiled dependency stack. The library is actively maintained, permissively licensed (BSD-3-Clause), and widely deployed. On macOS and Windows, prefer Conda installation over pip; on Linux, pip is available but requires underlying C++ libraries. No known security vulnerabilities.

Install

pin on PyPI

pip

pip install pin

uv

uv add pin

poetry

poetry add pin

Installing pin

Before you install

Medium install friction due to compiled dependencies (cmeel, cmeel-boost, cmeel-urdfdom, coal, libpinocchio). Actively maintained with recent releases; supports Python 3.9+ across macOS (Intel and ARM) and Linux platforms via pre-built wheels.

License in practice

BSD-3-Clause permissive license allows commercial and private use with minimal restrictions; you must retain copyright and license notices in derivative works.

Quickstart

pip install pin

import pin
model = pin.buildModelFromUrdf('robot.urdf')
data = model.createData()
pin.forwardKinematics(model, data, q)

Requires compiled C++ library stack (libpinocchio and dependencies); pip installation currently available only on Linux—macOS and Windows users should use Conda instead.

Verify before relying

  • Whether analytical derivatives support automatic differentiation frameworks beyond those mentioned in the description.
  • Performance characteristics and scalability limits for large kinematic trees or real-time control loops.
  • Maturity and completeness of MJCF and SDF format support relative to URDF.
  • Whether the package is suitable for biomechanics, computer graphics, or vision applications as suggested in the description.

Package facts

License BSD-3-Clause (permissive)
Python support supports the current Python release (>=3.9)
Install friction medium — platform-specific wheel
Runtime dependencies 5 — cmeel, cmeel-boost, cmeel-urdfdom, coal, libpinocchio
Maintenance actively maintained — 37 days since the last release
Last repo commit
First released
Downloads 1,105,874/month — #4,365 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: pin-4.1.0-0-cp310-cp310-macosx_10_9_x86_64.whl; pin-4.1.0-0-cp310-cp310-macosx_11_0_arm64.whl; pin-4.1.0-0-cp310-cp310-manylinux_2_28_aarch64.whl; pin-4.1.0-0-cp310-cp310-manylinux_2_28_x86_64.whl; pin-4.1.0-0-cp311-cp311-macosx_10_9_x86_64.whl; pin-4.1.0-0-cp311-cp311-macosx_11_0_arm64.whl; pin-4.1.0-0-cp311-cp311-manylinux_2_28_aarch64.whl; pin-4.1.0-0-cp311-cp311-manylinux_2_28_x86_64.whl; pin-4.1.0-0-cp312-cp312-macosx_10_9_x86_64.whl; pin-4.1.0-0-cp312-cp312-macosx_11_0_arm64.whl; pin-4.1.0-0-cp312-cp312-manylinux_2_28_aarch64.whl; pin-4.1.0-0-cp312-cp312-manylinux_2_28_x86_64.whl; pin-4.1.0-0-cp313-cp313-macosx_10_9_x86_64.whl; pin-4.1.0-0-cp313-cp313-macosx_11_0_arm64.whl; pin-4.1.0-0-cp313-cp313-manylinux_2_28_aarch64.whl; pin-4.1.0-0-cp313-cp313-manylinux_2_28_x86_64.whl; pin-4.1.0-0-cp314-cp314-macosx_10_9_x86_64.whl; pin-4.1.0-0-cp314-cp314-macosx_11_0_arm64.whl; pin-4.1.0-0-cp314-cp314-manylinux_2_28_aarch64.whl; pin-4.1.0-0-cp314-cp314-manylinux_2_28_x86_64.whl

Tags

rigid body dynamicsrobot kinematics and dynamicsforward inverse dynamicsarticulated body algorithmsrobotics physics simulationanalytical derivatives dynamicsmulti-body system simulation
roboticsphysics-simulationdynamics-algorithms

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