Installation

Get SignalPilot up and running in minutes with one of three installation methods.

Before installing, make sure your system meets the following requirements:

Python: 3.10 or higher
JupyterLab: ≥ 4.0.0 (Does not work with Jupyter Notebook classic or vscode)
STRONGLY Recommended libraries to install:
- pandas, numpy, matplotlib, scikit-learn, seaborn
Internet connection

We strongly recommend installing conda for package management.

(Optional) Step 1: Install Conda on MacOS, if not installed

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda

Step 2: Create and Activate Conda Environment named

conda create --name spilot
conda activate spilot

Step 3: Install packages inside conda environment


pip install signalpilot-ai jupyterlab 
pip install pandas numpy seaborn scikit-learn

pip install signalpilot-ai jupyterlab 
pip install pandas numpy seaborn scikit-learn

If you use uv, the Rust-based fast package installer.
(Optional) Install UV: https://docs.astral.sh/uv/getting-started/installation/

Then Install Packages:

uv init --python 3.11
uv pip install signalpilot-ai jupyterlab 
uv pip install pandas numpy seaborn scikit-learn

After installation, verify that SignalPilot is working:

Check versions
1. Python: 3.10 or higher
2. JupyterLab: ≥ 4.0.0
```
python --version
jupyter lab --version
```

Start JupyterLab

# conda
jupyter lab

# or uv
uv run jupyter lab

Confirm extension
- Open JupyterLab
- Look for the SignalPilot icon in the sidebar and sign in/sign up
  - Manage Subscriptions and Account: app.signalpilot.ai
- Open it and run a quick test notebook

Extension not showing up
- Restart JupyterLab
- Clear browser cache
- Ensure JupyterLab ≥ 4.0
Python version mismatch