Installation
Tensorify uses a web app for editing and a local CLI for execution.
What you need installed
For a local-first workflow, you need:
- a browser for
app.tensorify.io - the Tensorify CLI on your machine
- Python available for local runtime/export workflows
Web app
The editor itself is browser-based. You do not need to install the editor locally just to build workflows visually.
Local execution requirements
Tensorify depends on local execution commands such as:
tensorify watch <workflowId>
tensorify run <workflowId>
tensorify export <workflowId>
Python
Verify Python is available:
python --version
Use Python 3.10+ where possible.
Recommended local environment
Use a virtual environment for exported or cloned workflow dependencies:
python -m venv tensorify-env
source tensorify-env/bin/activate
Windows:
tensorify-env\Scripts\activate
Environment variables
Many workflows depend on local environment variables for external services.
Examples:
export STRIPE_WEBHOOK_SECRET="..."
export API_BASE_URL="https://internal.example.com"
Use whatever variables your workflow needs. The execution model is local-first, giving you full control over your data and environment.
Docker
Docker can be useful for reproducible local workflow environments.
Next
- Continue to Quick Start
- Read Core Concepts