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Installation

EVAnalyzer is distributed as a pre-built binary for Linux and Windows (x86-64 and ARM64) and macOS (Apple Silicon). No package manager or build toolchain is required to run the application.

Before downloading, check the System Requirements page - in particular if you plan to use a CUDA build for GPU-accelerated AI segmentation.

Pick your operating system and processor, and whether you want a CUDA-accelerated build. The link below always points at the latest published release on GitHub.

1. Choose your operating system

2. Choose your processor

3. CUDA acceleration?

Pick an operating system above to see the matching download.

Packages follow this naming scheme on the GitHub Releases page:

PlatformCPU-onlyCUDA-accelerated
Windows x86-64evanalyzer-windows-x86_64.zipevanalyzer-windows-x86_64-cuda.7z.001
Windows ARM64evanalyzer-windows-arm64.zip- (CUDA builds are x86-64 only)
Linux x86-64evanalyzer-linux-x86_64.tar.gzevanalyzer-linux-x86_64-cuda.7z.001 + .7z.002
Linux ARM64evanalyzer-linux-arm64.tar.gz- (CUDA builds are x86-64 only)
macOS (Apple Silicon)evanalyzer-macos-arm64.tar.gz- (CUDA is not available on macOS)

Extract the downloaded archive to a directory of your choice.

The EVAnalyzer File Support extension adds validation, autocomplete, and creation wizards for .evapipe, .evaproj, and .evapt files to VS Code.

Download the latest release →

Grab the evanalyzer-file-support-*.vsix file from the release’s assets, then install it:

Terminal window
code --install-extension evanalyzer-file-support-*.vsix
Terminal window
./evanalyzer

Double-click evanalyzer.exe, or from PowerShell:

Terminal window
.\evanalyzer.exe

Open EVAnalyzer.app from the extracted folder.

The application opens to the start screen showing the project configuration panel.

See the Building guide if you want to compile EVAnalyzer yourself.