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Olympus

3D AECO authoring in the browser. Modular. Open.

Don't waste time re-building an editor from scratch: olympus is here!

aeco.dev License

Hello World (reference app) · Addons (build your host app)

Olympus — digital construction app

More Screenshots

Olympus — digital construction app

Olympus — digital construction app2


Overview

A lightweight web framework (1.4MB js build + tool dependencies) for build or prototyping 3D web applications for the architecture, engineering, construction, and operations (AECO).

Olympus removes the overhead of building a 3D viewer from scratch.

Quick start

Prerequisites

  • Node.js 18+
  • npm 9+
  • pip
  • python 3.10+

Let's Get Started

# Clone the repository
git clone <repository-url>
cd Olympus

# Install dependencies
npm install

# Build the project
npm run build

# Start the development server
npm run serve

Serve the repository root, then open directory URLs (for example npm run serve on port 3000, or python -m http.server 8080):

Olympus AECO Modes

Features are additive: each row includes everything to its left.

Mode Viewport IFC Geometry IFC editing Code editor Python prototyping
AECO_Vanilla
AECO_Power
AECO_SuperPower

Useful applications:

Any Business Usecase in the AEC industry can be built with Olympus.

We already cover some construction use cases and plan to cover more in the future. ( Community Powered !)

You can freely create your own app with Olympus:

  • Slap your logo and call it a day
  • Modify core to your liking
  • Create addons for your own application

Examples in this repository

There are two hosted examples. Both load template IFC samples from external/ifc, run in-browser Python (Pyodide) and the Monaco scripting UI, and turn on BIM-related modules (project, attributes, property sets, and related toggles in each app’s configuration/config.modules.js). They differ in purpose, not in “lite versus full” runtime.

Example Role
HelloWorld Reference application — the default app layout in the repo; use it for first run, tutorials, and to see core module defaults.
Addons Host application pattern — same stack as HelloWorld, plus a configuration/ layout and custom addons under examples/Addons/addons/; use it as the template for your own product or internal tool.

Development (rebuild from source)

Changing src/ or regenerating dist/index.js and dist/pyodide.worker.js uses Node.js and npm. Use npm run setup for install, full vendor sync, and build in one step, or see Repository setup.

Examples: http://localhost:3000/examples/HelloWorld/. The project server sets MIME types suitable for Pyodide and .mjs loads. For Pyodide or module load issues behind a minimal static server, use npm run serve or Build and runtime troubleshooting.

Data Agnostic

Olympus is data agnostic. It currently implements the IFC standard for Building Information Modeling. Other data schemas will be supported in the future ( BrickSchema for Operations, Google Buildings Schema).

Documentation

This page summarizes orientation, quick paths, and a documentation index. Procedures, configuration, tutorials, and API detail live under docs/.

In this repository

  • Quick start — Hosted demos, local static serve, development workflow
  • Examples in this repository — HelloWorld (reference app) and Addons (host app pattern); both use template IFC, Python, and BIM modules
  • Features — Viewport, scripting, IFC, modules

Setup and deployment

Tutorials

Authoring

API (Markdown)

Generated documentation site

Canonical prose and API notes are maintained under docs/getting-started/, docs/guides/, and docs/api/. The static pages under docs/olympus/ can be previewed with a static server (for example npx serve docs/olympus).

Example notes

Roadmap

Working on it - feel free to contribute!

License and contact

Licensed under the terms in LICENSE. Contact: contact@aeco.dev. Issues: github.com/myoualid/olympus/issues.

About

Lightweight toolkit for building and prototyping 3D web-based applications for AECO (Architecture, Engineering, Construction, and Operations), with a focus on visual data analysis.

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