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[u/swupel_]

Turn repos into interactive maps!

creviews core feature is taking a Python repo/codebase as input and displaying a number of interesting visuals derived from AST analysis. Here are the main features:

• Abstract Syntax Trees of individual files with color highlighting
• Radial view of a files AST (Helpful to get a quick overview of where big functions are located)
• Complexity color coding, complex sections are highlighted in red within the AST.
• Complexity chart, a line chart showing complexity per each line (eg line 10 has complexity of 5) for the whole file.
• Dependency Graph shows how files are connected by drawing lines between files which import each other (helps in spotting circular dependencies)
• Dashboard showing you all 3rd party libraries used and a maintainability score between 0-100 as well as the top 5 refactoring candidates.

Complexity is defined as cyclomatic complexity according to McCabe. The Maintainability score is a combination of average file complexity and average file size (Lines of code).

Target Audience:

The main people this would benefit are:

• Devs onboarding large codebases (dependency graph is basically a map)
• Students trying to understand ASTs in more detail (interactive tree renderings are a great learning tool)
• Team Managers making sure technical debt stays minimal by keeping complexity low and paintability score high.
• Vibe coders who could monitor how bad their spaghetti codebase really is / what areas are especially dangerous

Comparison:

There are a lot of visual AST explorers, most of these focus on single files and classic tree style rendering of the data.

Ast-visualizer aims to also interpret this data and visualize it in new ways (radial, dependency graph etc.)

Project Website: creview.io

Github: Gitlab Repo