Code Review
Made Easy

Creview automatically maps out your entire codebase — whether it's Python, JavaScript, TypeScript, or a full-stack project — by analyzing its structure and dependencies. Simply upload your project folder or paste a GitHub URL, and Creview generates an interactive dependency graph showing how all modules, classes, and functions connect. This bird's-eye view eliminates hours of manual code reading and helps you identify entry points, core modules, and architectural patterns instantly.

An AST Visualizer transforms source code into an interactive Abstract Syntax Tree diagram, revealing how a compiler or interpreter perceives your code. Creview uses tree-sitter — a production-grade parser — to support Python, JavaScript, TypeScript, HTML, CSS, and JSON. It renders the hierarchical structure as a zoomable, pannable graph where you can inspect nodes, expressions, and control flow across your entire multi-language project.

A Cyclomatic Complexity tool measures the number of independent execution paths through your code using McCabe metrics. High complexity scores (above 10) indicate functions that are difficult to test, maintain, and debug, directly correlating with bug density and technical debt. Our analyzer calculates complexity for every function and highlights hotspots in red, allowing you to prioritize refactoring efforts and improve code maintainability before issues arise.

Creview's Dependency Graph automatically detects circular import and reference chains by tracing module relationships across your entire project — whether Python, JavaScript, or TypeScript. Circular dependencies appear as loops in the graph visualization, making them immediately visible. You can click any module to inspect its import chain and use the interactive scratchpad to document refactoring strategies, preventing architectural anti-patterns before they reach production.

Yes. Creview displays complete class inheritance trees, module structures, and import maps for Python, JavaScript, and TypeScript projects. The dependency graph mode reveals parent-child class relationships, while the AST view exposes the internal structure of each definition — including decorators, properties, and method signatures. This dual visualization works across your full stack, so you can understand both your backend Python services and your frontend JS/TS components in a single tool.

Upload your entire project folder or ZIP file, or paste a GitHub URL. Creview simultaneously processes Python, JavaScript, TypeScript, HTML, CSS, and JSON files — resolving cross-file relationships and building a unified dependency graph across your entire stack. You can filter by language, search for specific functions, and toggle non-parseable files on or off. This whole-project view is essential for understanding large, mixed-language codebases and planning architectural changes.

McCabe metrics quantify code complexity by counting decision points like if-statements, loops, and exception handlers. Functions with McCabe scores above 10 require exponentially more test cases and have higher defect rates. Our Cyclomatic Complexity tool automatically calculates these metrics for every function and color-codes them in the visualization, allowing you to spot technical debt hotspots instantly and prioritize refactoring based on objective data rather than intuition.

No. All code analysis — regardless of language — happens in-memory during your active session only. Your source code is never persisted to disk, logged, or used for training AI models. Once you close the session, all data is immediately discarded. We prioritize your intellectual property and privacy, making Creview safe for analyzing proprietary Python backends, JavaScript frontends, and confidential full-stack projects without security concerns.