Guides
This overview collects all imported guides for ManifestGuard Python and serves as navigation for this section.
- Installation & Download
Concrete installation path for ManifestGuard Python: download, pinned or user-wide installation, device hash and activation via login + license portal. - Testing Basics
Operational guide for how MG Python guide topics are grouped, previewed, edited and published in the Subpages workspace. - Testing Overview
Overview of all testing strategies supported by ManifestGuard. - Reducing Complexity
Techniques to measure and reduce cyclomatic and cognitive complexity in Python code. - Code Consistency
Enforcing consistent coding standards and style across a Python codebase. - PEP 8 Style
Applying PEP 8 formatting and style rules with ManifestGuard quality checks. - Type Hints
Adding and validating Python type annotations to improve static analysis coverage. - Modern Python
Upgrading Python codebases to modern idioms, syntax and standard library patterns. - Documentation Quality
Best practices for docstrings, README files and inline documentation quality gates. - Security Vulnerabilities
Detecting and remedying common Python security vulnerabilities with ManifestGuard. - Security Overview
Overview of all security checks available in ManifestGuard. - Modern Cryptography
Replacing deprecated hashing and encryption algorithms with current best-practice equivalents. - Portable Paths
Cross-platform path handling in Python, avoiding hard-coded separators and OS assumptions. - Performance Optimization
Profiling and tuning Python code for speed and resource efficiency. - Memory Profiling
Measuring and reducing the memory footprint of mgpy runs (without analyzing application runtime leaks). - SBOM Quality
Generating and validating Software Bill of Materials for Python packages. - Quality Gate
Setting up ManifestGuard quality thresholds that block builds on regressions. - Quality Regression Detection
Tracking quality trends over time and alerting on regressions across commits. - Trend Analysis
Visualizing and interpreting long-term quality metric trends from ManifestGuard history.