Skip to main content

SimView Visualizer

Documentation Live Demo

SimView is a powerful and interactive tool for visualizing 3D models and terrain data in simulations. It enables you to explore and analyze multiple simulation scenarios (batches) within a shared environment, all defined through an intuitive JSON format or a Python API.

Whether you're simulating physical objects or comparing different runs, SimView provides a flexible and efficient way to bring your data to life using a web-based interface powered by Three.js.


Documentation

Full documentation — usage guides, CLI reference, the JSON format specification, the API reference, and developer/architecture docs — is available at:

https://vlk-jan.github.io/simview/

Want to try it without installing anything? There's a live browser demo (always up-to-date with the current code, no backend needed).


Features

  • Batched Simulations: Visualize multiple simulation instances side-by-side.
  • Shared Terrain: Efficient rendering with shared terrain across all batches.
  • Interactive UI: Web-based controls for playback, camera, and data inspection.
  • Python API: Easy-to-use API for generating scenes and launching the visualizer directly from your code.
  • JSON Support: Load and save simulation data using a portable JSON format.
  • Remote Files: Open a scene straight off a compute host with simview host:path/to/scene.json — fetched over SSH, compressed on the wire, and cached locally.
  • Comparing Runs: Merge several scene files into one, taking whole files or just picked batches — simview gt.json method_a.json#1 method_b.json#1.

Quick Start

The easiest way to get started is to run the provided example script:

python example.py

This script demonstrates how to use the Python API to create a simulation with wavy terrain, dynamic bodies, and time-series data.

The Python authoring API (simview.scene, simview.state, simview.model) depends on torch and einops. Install them with the optional authoring extra shown below. Only these are needed to build simulations; viewing an existing JSON file does not require torch.


Installation

Requires Python 3.12+.

From PyPI

To only view existing simulation JSON files:

pip install simview

To also author simulations from Python (installs torch and einops):

pip install "simview[authoring]"

From source

For working on SimView itself (or to track an unreleased commit), install an editable checkout instead:

pip install -e .              # viewing only
pip install -e ".[authoring]" # viewing + authoring

For independent use of this repository, use venv or uv:

python -m venv .venv
source .venv/bin/activate
pip install -e ".[authoring]"
uv sync --extra authoring
source .venv/bin/activate

License

SimView is distributed under the BSD 3-Clause License. The web interface vendors uPlot, three.js, and chroma-js (all MIT licensed) under simview/static/lib/ so the viewer works fully offline — see the documentation for details. All third-party libraries used by SimView are permissively licensed (MIT/BSD), so there are no licensing restrictions on commercial use.

Release files for simview 4.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for simview 4.2.0
File Size Uploaded
simview-4.2.0.tar.gz 860.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for simview 4.2.0
File Interpreter ABI Platform
simview-4.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.7 MB

Release files / simview-4.2.0.tar.gz

Download URL simview-4.2.0.tar.gz
Size 860.7 kB
Tags Source
SHA-256 checksum
How to use checksums
32c908e8f7290cf752d3dc9a783dc91eb32cd3dc5b4a43a6b9cf03af22eb0d4f
BLAKE2b-256 checksum
How to use checksums
36bf474d5ffe65861a95eb40907e88e26ba8f9f62a52960874a87dd3d76d69aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 31, 2026.

Transparency log

Release files / simview-4.2.0-py3-none-any.whl

Download URL simview-4.2.0-py3-none-any.whl
Size 870.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c308582e737985510185074301e201bcb9598d7275df7e508efc120b96e3a840
BLAKE2b-256 checksum
How to use checksums
f6e22524f114e65b6bf49756d419fa0858feb8861b176b1166f73212c5dd7edc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 31, 2026.

Transparency log

Release history Release notifications | RSS feed

5.0.0

2 release files

4.2.1

2 release files

This release

4.2.0 This release

2 release files

4.1.0

2 release files

4.0.0

2 release files

3.6

2 release files

3.5

2 release files

3.4

2 release files

3.3

2 release files

3.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page