Next-Gen Open-Source Community Ecology Analysis Platform
Combine R's statistical power with modern UX design. Real-time plot customization with flexible export (PNG/PDF/SVG/TIFF), 9 ordination methods, comprehensive diversity analysis—all in an enterprise-grade desktop application.
Enterprise-grade analysis with user-friendly design
NMDS, PCA, CA, DCA, PCoA, CCA, RDA, db-RDA, CAP with real-time customization
iNEXT rarefaction/extrapolation, Shannon, Simpson, and Hill numbers
20+ plot controls in right sidebar: themes, fonts, colors, export settings—instant updates without re-running
Choose format (PNG/PDF/SVG/TIFF), DPI (72-600), width, and height directly from the right sidebar for every plot
PERMANOVA, ANOSIM, Mantel, envfit for robust analysis
6 settings sections with persistent browser storage
Modern Dashboard Interface
Data Upload & Preview
Ordination with Real-Time Customization
iNEXT Rarefaction Curves
Mantel Test & Statistical Analysis
Interactive Help System
Beta Diversity Partitioning
Choose your platform and start analyzing
Windows 10/11 (64-bit)
333 MB (with R 4.5.1)
Download Portable ZIP (333 MB) Installer Coming Soon✨ Portable Version (Recommended): Extract and run instantly - no installation needed!
Features:
Requirements: Windows 10 or later (64-bit)
TESTED & WORKING
Note: Traditional installer (.exe) coming in a future update - portable version works perfectly!
macOS 10.15+ (Intel & Apple Silicon)
~450 MB
Coming SoonStatus: macOS build requires macOS system
Note: Check releases page for updates
Ubuntu 20.04+, Debian 11+
272 MB
Download .debPackage: Debian package with Electron + Shiny
Requires: R 4.0+ installed on system
Install: sudo dpkg -i ordin_3.0.0_amd64.deb
AVAILABLE NOW
Fedora 36+, RHEL 9+
279 MB
Download .rpmPackage: RPM package with Electron + Shiny
Requires: R 4.0+ installed on system
Install: sudo dnf install ordin-3.0.0-1.x86_64.rpm
AVAILABLE NOW
Windows Users: Download the Portable ZIP - fully self-contained with R 4.5.1, no installation required!
Linux Packages: DEB and RPM packages now available! Requires R 4.0+ on your system.
Windows Installer: Traditional .exe installer coming soon - portable version works perfectly in the meantime!
Need older versions? View all releases
⚡ PORTABLE VERSION (Recommended): No installation required!
Or use the traditional installer for system-wide installation
Download Ordin-win32-x64-3.0.0.zip (770 MB) from the download button above
Right-click the ZIP file → Select "Extract All..." → Choose any location (Desktop, Documents, or USB drive)
Open the extracted folder → Double-click ordin.exe → Application starts immediately!
Splash screen appears briefly, then the main window opens. You're ready to analyze your ecological data!
✅ Why Portable?
⚠️ Status: Traditional Windows installer coming in a future update.
Note: The portable ZIP version works perfectly and includes all the same features. It's actually recommended for most users as it requires no installation and can run from anywhere!
Download Ordin-3.0.0-Setup.exe (770 MB) from the download button above
Double-click the installer → Follow the installation wizard → Choose installation location
After installation, find Ördin in your Start Menu or Desktop shortcut
Installer Benefits (Coming Soon):
Status: macOS build not yet available. Building macOS packages requires a macOS system.
Check the releases page for future macOS builds.
Alternatively, you can run Ördin on macOS by installing R and running the Shiny app locally.
# Download the package
wget https://github.com/jm0535/0rdin/releases/latest/download/ordin_3.0.0_amd64.deb
# Install with dpkg
sudo dpkg -i ordin_3.0.0_amd64.deb
# Fix missing dependencies (if any)
sudo apt-get install -f
# Launch Ördin
ordin
# Download the package
wget https://github.com/jm0535/0rdin/releases/latest/download/ordin-3.0.0-1.x86_64.rpm
# Install with dnf
sudo dnf install ordin-3.0.0-1.x86_64.rpm
# Launch Ördin
ordin
# Make executable
chmod +x Ordin-3.0.0-x86_64.AppImage
# Run
./Ordin-3.0.0-x86_64.AppImage
Dependencies: Most are bundled, but you may need: libgtk-3-0, libnss3