mycelium-map 0.1.1

Static analysis tool that maps the hidden network of connections in codebases

Mycelium

Static analysis CLI that maps the connections in a source code repository. Produces a single JSON file containing file structure, symbols, imports, call graph, community clusters, and execution flows.

Install

uvx mycelium-map

Or install locally:

pip install mycelium-map

Usage

mycelium-map analyze <path>                          # Analyse a repo
mycelium-map analyze <path> -o output.json           # Custom output path
mycelium-map analyze <path> --verbose                # Show phase timing breakdown
mycelium-map analyze <path> --quiet                  # No terminal output
mycelium-map analyze <path> -l cs,ts                 # Only analyse C# and TypeScript
mycelium-map analyze <path> --exclude vendor,legacy  # Skip directories
mycelium-map analyze <path> --resolution 1.5         # Louvain resolution (higher = more communities)
mycelium-map analyze <path> --max-processes 50       # Limit execution flows
mycelium-map analyze <path> --max-depth 8            # Limit BFS trace depth

Default output file: <repo-name>.mycelium.json

Supported Languages

Language	Extensions
C#	.cs
VB.NET	.vb (requires grammar build)
TypeScript	.ts, .tsx
JavaScript	.js, .jsx, .mjs, .cjs
Python	.py
Java	.java
Go	.go
Rust	.rs
C	.c, .h
C++	.cpp, .cc, .cxx, .hpp, .hxx, .hh

Output Schema

The JSON output contains these top-level sections:

metadata

{
  "repo_name": "my-project",
  "repo_path": "/absolute/path",
  "analysed_at": "2026-02-05T18:33:12Z",
  "mycelium_version": "0.1.0",
  "commit_hash": "a1b2c3d4e5f6",
  "analysis_duration_ms": 42.3,
  "phase_timings": { "structure": 0.004, "parsing": 0.001, ... }
}

stats

Summary counts: files, folders, symbols, calls, imports, communities, processes, and a languages breakdown by file count.

structure

File tree with language, size, and line counts.

{
  "files": [{ "path": "src/main.cs", "language": "cs", "size": 1024, "lines": 45 }],
  "folders": [{ "path": "src/", "file_count": 3 }]
}

symbols

Every extracted symbol: classes, methods, interfaces, functions, structs, enums, etc.

{
  "id": "sym_0001",
  "name": "UserController",
  "type": "Class",
  "file": "Controllers/UserController.cs",
  "line": 8,
  "visibility": "public",
  "exported": true,
  "parent": "MyApp.Controllers",
  "language": "cs"
}

Symbol types: Class, Function, Method, Interface, Struct, Enum, Namespace, Property, Constructor, Module, Record, Delegate, TypeAlias, Constant, Trait, Impl, Macro, Typedef, Annotation.

Visibility: public, private, internal, protected.

imports

Three categories of dependency edges:

{
  "file_imports": [{ "from": "Controller.cs", "to": "Service.cs", "statement": "using MyApp.Services" }],
  "project_references": [{ "from_project": "Web.csproj", "to_project": "Core.csproj", "ref_type": "ProjectReference" }],
  "package_references": [{ "project": "Web.csproj", "package": "Newtonsoft.Json", "version": "13.0.1" }]
}

Project and package references are extracted from .csproj/.vbproj files.

calls

Call graph edges with three-tier confidence scoring:

{
  "from": "sym_0004",
  "to": "sym_0015",
  "confidence": 0.9,
  "tier": "A",
  "reason": "import-resolved",
  "line": 17
}

Tier	Confidence	Meaning
A	0.9	Callee found in an imported file
B	0.85	Callee found in the same file
C	0.5	Unique fuzzy match across the codebase
C	0.3	Ambiguous fuzzy match (multiple candidates)

communities

Clusters of symbols that frequently call each other, detected via Louvain algorithm.

{
  "id": "community_0",
  "label": "Absence",
  "members": ["sym_0004", "sym_0015", "sym_0016"],
  "cohesion": 0.8,
  "primary_language": "cs"
}

processes

Execution flows traced from entry points (controllers, handlers, main functions) via BFS through the call graph.

{
  "id": "process_0",
  "entry": "sym_0004",
  "terminal": "sym_0016",
  "steps": ["sym_0004", "sym_0015", "sym_0016"],
  "type": "intra_community",
  "total_confidence": 0.765
}

type is intra_community when all steps are in the same community, or cross_community when the flow spans multiple.

total_confidence is the product of all edge confidences along the path.

Tests

uv run pytest           # 229 tests
uv run pytest -v        # Verbose output