Visualize your Python project as an interactive call graph. Functions are nodes; calls between them are edges. Navigate your codebase by clicking — no configuration required.
Features
Static analysis — extracts the call graph from Python's built-in ast module; no runtime or instrumentation needed
Interactive graph — zoom, pan, drag nodes, and filter by function name
Click-to-navigate — click any node to open the file and jump to the function definition
Detail / Complexity slider — progressively cluster low-connectivity nodes to keep large projects navigable
Git integration — color nodes by their git status (modified, new, deleted, staged); toggle with the Git button
Language coloring — color nodes by file/language; toggle with the Language button
Library node clustering — external library calls are grouped into collapsed cluster nodes (e.g. numpy (7)) to prevent visual clutter; click a cluster to expand it
Settings panel — tune layout forces (center, repel, link strength, link distance), display options (node size, text size, link thickness, arrows), and visibility toggles (orphan nodes, library nodes)
Requirements
VS Code 1.85+
Python 3.x installed and available as python3
Usage
Open a Python project folder in VS Code
Open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P) and run CoGraph: Visualize Project
The call graph opens in a side panel
Use the search bar to filter functions by name
Click any node to navigate to its definition
Toggle Git or Language coloring with the buttons in the top-left
Use the Complexity slider to collapse less-connected nodes on large graphs
Open the Settings panel (gear icon) to adjust layout and display options
Limitations
Dynamic dispatch and runtime-generated functions are not tracked
Cross-package call edges (into installed libraries) are intentionally excluded
Very large projects may require using the Complexity slider or search filter to navigate comfortably
