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code-analyser

Analyses source code files and returns style violations, complexity metrics, and quality indicators. Designed as a low-level tool — feed it a file, get back structured JSON.

Part of the analyser family.

Status: Early development. Currently supports Python via ruff and basic AST metrics. Multi-language support and alignment with the family API pattern is in progress.

Install

pip install code-analyser

Requires Python 3.11+.

Usage

Python

from code_analyser import analyse

result = analyse("submission.py")

print(f"Lines:      {result['metrics']['lines_of_code']}")
print(f"Complexity: {result['metrics']['cyclomatic_complexity']}")
print(f"Issues:     {len(result['issues'])}")

HTTP API

# Start the server
uvicorn code_analyser.main:app --port 8004

curl -X POST http://localhost:8004/api/v1/analyze/python \
  -H "Content-Type: application/json" \
  -d '{"code": "def hello():\n    print(\"Hello\")", "language": "python"}'

Supported languages

Language Status
Python supported (ruff, AST metrics)
JavaScript, Java, others planned

Output

{
  "language": "python",
  "metrics": {
    "lines_of_code": 42,
    "cyclomatic_complexity": 3,
    "maintainability_index": 74.2
  },
  "issues": [
    {"rule": "E501", "line": 12, "message": "line too long (92 > 88 characters)"}
  ],
  "summary": {
    "error_count": 0,
    "warning_count": 1,
    "style_count": 2
  }
}

The analyser family

Low-level analysis tools. Each accepts files directly and returns structured JSON. Build your own UI or pipeline on top.

Package Handles
speech-analyser audio and video files — transcript and speech metrics
video-analyser video files — frames, scenes, and visual quality
document-analyser PDF, DOCX, PPTX, TXT — text and readability
code-analyser source code — style, complexity, and quality metrics
records-analyser CSV, Excel, SQLite, Parquet, JSON — data profiling
auto-analyser any file — detects format and routes to the right tool

License

MIT

About

Analyzes source code files to extract style violations, complexity metrics, and quality indicators, returning structured JSON results via Python API or HTTP microservice.

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