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simulo

The Simulo SDK and CLI — define robotics simulation and training apps in Python, submit them to the Simulo cloud, monitor jobs, and retrieve trained models.

Simulo is a cloud-first robotics simulation and training platform. Write your app against a small, stable Python API; Simulo handles running it.

Install

pip install simulo

Requires Python 3.11+.

Quickstart

The fastest way to start: scaffold a runnable app.

simulo create mybot
# Created training app in mybot/ (app.py + .simuloignore).
cd mybot

--type picks the starter shape (default training): training (a single training job), inference (train → evaluate → rollout, self-contained), or scenario (a scripted scene, no learning). No network call and no login required — simulo create only writes files to your local folder. Edit app.py for your own robot and task, then see "Log in and submit" below to run it.

Or write an app by hand

# app.py
import simulo

app = simulo.App("hello")


@app.job(timeout=5 * 60)
def hello(name: str = "world", repeat: int = 3) -> dict:
    for i in range(repeat):
        print(f"[hello] {i + 1}/{repeat}: hello, {name}!")
    return {"greeting": f"hello, {name}", "repeat": repeat}


@app.entrypoint
def main(name: str = "world", repeat: int = 3) -> None:
    handle = hello.spawn(name=name, repeat=repeat)
    print(f"Submitted job: {handle.job_name}")

Log in and submit to the cloud

simulo login
simulo run app.py --name robot --repeat 5

Without logging in, simulo run packages the app locally without submitting it.

Every cloud submit is fresh — running the same command twice trains twice, never a silent no-op. To continue training from an earlier job's checkpoint instead, pass --from <job-ref>[:best|:latest]. Job ids, and their unambiguous prefixes (>=4 characters), work anywhere the CLI takes a job id.

Monitor jobs and retrieve results

simulo jobs                      # your jobs and their statuses
simulo logs --follow             # stream the latest job's logs live
simulo result                    # the completed job's result JSON
simulo models                    # list / download trained checkpoints (sha256-verified)
simulo recordings                # download MCAP flight recordings
simulo view                      # watch the live 3D scene (jobs submitted with --viewstream)
simulo cancel                    # cancel a queued or running job

Commands that take a job id default to the latest job, announcing what they resolved to on stderr.

Learn more at simulo.ai.

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0.33.1

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