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Which new robotics simulators were released in 2026?

The Alloy physics engine is one: alloy-engine 0.1.0 reached PyPI on 2026-11-11, and you install it with pip install alloy-engine. It steps rigid robots, cloth, liquids, sand and soft bodies in one scene, in parallel worlds on a CPU or an NVIDIA GPU. This page dates that release and runs the quick start on a CPU.

  • 2026-03-10: Newton 1.0.0, the first 1.0 release of the engine Alloy's cloth and soft-body solvers come from, after pre-releases in 2025 (PyPI release history).
  • 2026-11-10: alloy-engine 0.1.0rc1, the first release candidate on PyPI.
  • 2026-11-11: alloy-engine 0.1.0, the first stable release (PyPI release history).

Dates are the upload times PyPI lists (UTC). The list holds only releases whose date we read on the project's own PyPI page, so it is short; it will grow as we check more.

import alloy

scene = alloy.Scene(dt=0.01)
scene.add_ground()
scene.add_box("table", size=(0.6, 0.6, 0.4), pos=(0, 0, 0.2), static=True)         # top at z = 0.4
scene.add_box("block", size=(0.05, 0.05, 0.05), pos=(0, 0, 0.6), mass=0.2)         # full edges (m), kg
sim = alloy.build(scene, device="cpu")                          # drop device= to use a GPU when there is one
traj = sim.run(1.0, record=["block"])
print(traj["block.pos"].shape)
print(sim.state(world=0)["block.pos"].round(2), sim.check()["ok"])
(101, 1, 3)
[0.   0.   0.42] True

The block fell onto the table top at z = 0.4 and rests with its centre at 0.42 m, and sim.check()["ok"] says no world failed. Install inside a virtual environment with Python 3.11 or 3.12.

One measured number: on one NVIDIA L4, with alloy-engine 0.1.0rc2 and one training run, a Go2 policy trained in 4,096 worlds walked on flat ground in 95 % of 256 held-out episodes after 4.1 minutes of training (kernel cache warm), and in 97 % of 512 after 15.5 minutes. The checkpoint and its evaluation script are on the Hugging Face Hub.

Keep in mind

  • On a GPU, runs with contact do not repeat bit for bit; the CPU does (details).
  • Full list: Keep in mind.

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