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Biowatch

Biowatch Logo

GitHub package.json version License: CC BY-NC 4.0
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Download | Documentation | Contact Us



Analyze Camera Trap Data — Privately, On Your Machine

Biowatch is a free, open-source desktop application for wildlife researchers and conservationists. Analyze camera trap datasets completely offline — your data never leaves your machine.

Overview

Key Features

  • 100% Offline & Private: Your research data stays on your machine. No cloud uploads, no accounts, no tracking.
  • On-Device AI: Species identification models run locally — no internet required.
  • Interactive Maps: Visualize camera trap locations and wildlife sightings with spatial analysis tools.
  • Data Analysis: Generate insights with temporal activity patterns, species distributions, and deployment metrics.
  • Media Management: Browse, filter, and search through thousands of camera trap images and videos.
  • CamtrapDP Compatible: Import and export using Camera Trap Data Package standards for GBIF integration.

Installation

Download for Windows Download for macOS Download for Linux

Windows
  1. Download Biowatch-setup.exe
  2. Run the installer
  3. Follow the installation wizard
  4. Launch Biowatch from the Start menu or desktop shortcut
macOS
  1. Download Biowatch.dmg
  2. Open the disk image
  3. Drag Biowatch to the Applications folder
  4. On first launch, right-click and select "Open" (required for apps from identified developers)
Linux

AppImage

  1. Download Biowatch.AppImage
  2. Make it executable: chmod +x Biowatch.AppImage
  3. Run: ./Biowatch.AppImage

Debian/Ubuntu

  1. Download Biowatch_<version>_amd64.deb
  2. Install: sudo dpkg -i Biowatch_*.deb

Documentation

Full developer documentation is available in the docs/ folder:

Quick Start (Development)

# Install all dependencies and start development
make install
make dev

Run make help to see all available commands.

See Development Guide for full details.

License

CC BY-NC 4.0 - Free for non-commercial use with attribution.

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Analyze, visualize, and explore camera trap datasets with ease

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