Orebit Open Source Initiative

Data Visualization,
Processed Locally.

We are open-sourcing our core geological visualization tools to the global mining community. Powered by WebAssembly, our apps run instantly in your browser without servers.

Deployed statically on GitHub Pages. No backend tracing. 100% Client-side.

Open Source Projects

Tools designed to reduce friction for geologists, engineers, and researchers. Fork them, run them locally, or use our hosted versions.

Enterprise Tech & Prototypes

Static UI mockups and logic architectural previews of our complex, closed-source backend enterprise systems.

Interactive Prototype

EIS (Engineering)

Production recording, validation workflows, and mining analytics logic. Read the architecture and logic flow for our enterprise production system.

Interactive Prototype

HIS (Safety)

Health, Safety, and Environment management framework covering Work Permits (e-Permit), Audits, and automated incident reporting.

Interactive Prototype

GeoBot AI

An AI-powered assistant designed to translate natural language into SQL queries against complex mining and metallurgical database schemas.

Interactive Prototype

PitOp

Strategic open pit optimization models utilizing Floating Cone and Lerchs-Grossmann (LG) graph-theory algorithms for spatial analysis.

Built on Next-Gen Web Technologies

We believe mining software shouldn't require complex local installations or constant internet communication with a backend server.

  • Zero-Server Architecture: Operated entirely on GitHub Pages static hosting.
  • WebAssembly (WASM): R and Python engines are compiled to WASM to run native data-science computation inside your browser block.
  • Data Privacy by Design: Since the logic executes locally, your sensitive geological CSV files are never uploaded to our servers.
Download Full Repo Zip
# OPTION 1: Run the WebAssembly (WASM) version locally (Offline Mode) git clone https://github.com/ghoziankarami/orebit-showcase.git cd orebit-showcase/apps/geodataviz-lite python -m http.server 8000 # Open http://localhost:8000 # OPTION 2: Run the Native R Source Code (Faster for heavy analytics) cd ../../source_code/geodataviz-lite # Install Required Packages & Launch Native R Engine R -e "install.packages(c('shiny','plotly','dplyr','bslib'))" R -e "shiny::runApp()"

Ready to Transform Your Mining Operations?

Whether you need a custom 3D geological visualization instance, specialized analytical models, or integration with your existing enterprise database schema, our engineering team is ready to help.

Contact Engineering Team Explore Open Source Repo