Juno is an AI-powered tool that improves data science workflows by automatically generating, editing, and debugging code in Jupyter notebooks.
It provides code suggestions, instantly resolves errors, and offers code editing capabilities based on data and problem context.
Features
- Code suggestions on the fly with %juno
- Auto-debugging to quickly resolve errors
- Code editing with the Edit Button based on data and problem context
- Privacy-sensitive - only uses metadata, not raw data or PII
Use Cases
- Enhancing code writing and debugging in Jupyter notebooks
- Improving code efficiency and optimization
- Streamlining data analysis workflows
Suited For
- Data scientists
- Data analysts
- Machine learning engineers
FAQ
Juno is an AI-powered Jupyter copilot that assists with code writing, editing, and debugging.
Juno analyzes the data and problem context to generate code suggestions, perform auto-debugging, and offer code editing capabilities.
Yes, Juno only utilizes metadata about datasets and does not expose raw data rows or Personally Identifiable Information (PII).