Kernel context
Sphinx is natively designed to work with Jupyter notebooks, and is given extensive context on defined variables, dataframes, and imports.
Sphinx is natively designed to work with Jupyter notebooks, and is given extensive context on defined variables, dataframes, and imports.
Configure guardrails for Sphinx to require user approval before running certain cells.
Sphinx can detect when a cell has been running for too long, and will interrupt and optimize before trying again.
Sphinx automatically searches the internet for public datasets and APIs that it can use in performing analyses.
Sphinx learns with you, taking notes from past analyses to apply to future projects.
Sphinx Extension
The Sphinx Extension can be installed into VSCode, Cursor, Windsurf, and more for a best-in-class IDE experience with Jupyter notebooks
New: Sphinx Lab
The easiest way to get started, Sphinx Lab provides a ready-to-go Jupyter environment and agent directly in your browser
Sphinx CLI
For power-users and programmatic invocations, run Sphinx directly in your terminal analyses to streamline future work
