Juno - Your Jupyter copilot for 10x better data science

Juno Your Jupyter copilot for 10x better data science

What is Juno?

Juno serves as an intelligent coding companion for data scientists, seamlessly integrating with Jupyter notebooks to enhance productivity and streamline workflow. The tool provides real-time code suggestions through simple %juno commands, enabling users to generate everything from complex PCA analysis to creative visualizations.

Operating with a strong focus on privacy, Juno processes only metadata about datasets without exposing raw data or PII. The platform offers both cloud-based services and on-premises deployment options for handling sensitive data, making it suitable for various security requirements in data science environments.

Features

Code Suggestions: Real-time code generation using %juno commands
Auto-Debug: Instant solutions for code errors and debugging assistance
Edit Button: AI-powered code refinement and optimization
Privacy Protection: Metadata-only processing with no exposure of raw data
On-Premises Option: Self-hosted deployment for sensitive data handling

Use Cases

Performing PCA analysis in Jupyter notebooks
Debugging data science code
Optimizing existing code implementations
Generating data visualizations
Handling sensitive data analysis projects

FAQs

How does Juno protect data privacy?

Juno only processes metadata about datasets and never exposes raw data rows or PII. For extremely sensitive data, users can opt for on-premises deployment.
How many free prompts are available before requiring a subscription?

Users get 40 prompts free before requiring a subscription at $4.99/month.
How do I install Juno?

Juno can be installed using pip by running the command: pip install juno-ai