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Installation & Setup

Get IOValence installed and ready in minutes.

System Requirements

Before installing, ensure you have:

  • Python: 3.8 or higher
  • Operating System: Windows, macOS, or Linux
  • RAM: Minimum 4GB (8GB+ recommended)
  • Disk Space: At least 2GB

Detailed System Requirements →

Installation Methods

pip install iovalence

Verify installation:

iovalence --version

Method 2: conda

conda install -c iovalence iovalence

Method 3: From Source

git clone https://github.com/IOValence/iovalence.git
cd iovalence
pip install -e .

Post-Installation Setup

1. Create Your First Project Directory

mkdir my-projects
cd my-projects

2. Initialize IOValence

iovalence init --project my-first-project

3. Verify Everything Works

iovalence check

You should see: 

✓ IOValence installed
✓ Python environment OK
✓ Dependencies satisfied
✓ GPU support available (if applicable)

Configuration

Optional: Set API Key

If using cloud features:

iovalence config set api-key YOUR_API_KEY

Optional: Set Default Framework

iovalence config set framework tensorflow

Options: tensorflow, pytorch, sklearn

Upgrade IOValence

To get the latest version:

pip install --upgrade iovalence

Troubleshooting Installation

Issue: "command not found: iovalence"

Solution: Ensure pip installed to your PATH:

python -m pip install --upgrade iovalence

Issue: Dependency conflicts

Solution: Use a fresh virtual environment:

python -m venv iovalence-env
source iovalence-env/bin/activate  # On Windows: iovalence-env\Scripts\activate
pip install iovalence

Issue: GPU not detected

Solution: Install GPU support separately:

pip install iovalence[gpu]

Create an isolated environment for IOValence:

# Create virtual environment
python -m venv iovalence-env

# Activate it
# On Linux/macOS:
source iovalence-env/bin/activate
# On Windows:
iovalence-env\Scripts\activate

# Install IOValence
pip install iovalence

Next Steps

Need help? See Troubleshooting → pip install iovalence[dev] ```

Next Steps

Need help? See Troubleshooting →