Variable Explorer & IPython Console

Spyder-style variable inspection inside VS Code.

A live variable explorer in the sidebar and a real IPython console in the panel. Run a plain .py file, watch your variables populate, and click into any DataFrame, array, or nested dict — no notebook required.

Features

Variable explorer — a sidebar table of names, types, sizes, and value previews that refreshes as your code runs, with live filtering and color-coded type badges.
IPython console — full In [N]: / Out[N]: prompts next to the integrated terminal, with command history, streamed output, and real tracebacks.
Click to inspect — open DataFrames, Series, and 2-D NumPy arrays in a sortable grid; explore dicts and lists as a collapsible tree.
Handles big data — paged grids keep large matrices responsive.
Run your way — Run Selection/Line from the right-click menu, or Run File from the editor toolbar.

Requirements

VS Code ^1.90.0
The Python extension (ms-python.python)
A Python environment with the introspection packages:

pip install jupyter_client ipykernel pyzmq spyder-kernels==3.1.4

Getting started

Open a Python file.
Run Variables: Start Console from the Command Palette (Ctrl/Cmd+Shift+P).
Run your code — variables appear in the sidebar as they're created. Click any row to inspect it.

Commands

Action	Command
Start the kernel + panels	`Variables: Start Console`
Run selection or current line	`Variables: Run Selection/Line in IPython Console`
Run the whole file	`Variables: Run File in IPython Console`
Refresh the explorer	`Variables: Refresh`
Clear console (`Ctrl/Cmd+K`)	`Variables: Clear Console`
Reset kernel namespace	`Variables: Clear Variables`

Issues & contributing

Contributions are welcome — see CONTRIBUTING.md.

Spyder Variable Explorer

Saketh Sreeram