🗂️ DirectoryTree widget for textual, compatible with all filesystems
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Updated
Oct 18, 2026 - Python
🗂️ DirectoryTree widget for textual, compatible with all filesystems
Directory Structure Visualizer using GraphViz
📁 💾 A tool to create a snapshot ( poor man's backup ) of a directory.
A Python package to generate ASCII tree representation of directory structures.
Flexible recursive directory iterator: `scandir` meets `glob("**", recursive=True)`
A simple tree generator for directories to use in your GitHub README.md file.
Generate clean Markdown folder trees for project documentation, README files, and onboarding guides.
Application for cloning and exploring Git repos and local directories. Browse repos, visualize directories, preview code, generate AI explanations, and analyze file sizes.
PyTreefy is a Python script designed to explore a specified directory, generate a visual representation of its directory tree, and collect all Python scripts (*.py) present in that directory. The collected scripts are then combined with the directory tree structure and written to an output file.
Directory-tree generator
Iterate through a file tree
MCP server for code structure analysis across 20+ languages. Tree-sitter powered. Works with Claude Code and Claude Desktop.
Directory tree metadata parser using Apache Tika
🌳 Enhanced directory tree printer with Git integration and PyCharm-style status colors. Smart filtering, .gitignore awareness, and beautiful terminal output.
Preserve is a lightweight cross-platform file "preservation" tool that maintains directory structure during file transfers. Includes path normalization (relative/absolute/flat), SHA256 verification, metadata retention, and bidirectional operations. Perfect for archiving, backups, and transferring files while maintaining their original organization.
A lightweight Python CLI tool to generate visual directory trees for codebases, documentation, and RAG context preparation.
A pypi module to print/generate directory tree.
Create complex project structures effortlessly.
Python projects made while doing internship.
A high-performance CLI toolkit designed for codebase exploration, intelligent analysis, and LLM context aggregation.
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