docify-ai 1.7.0

An AI-powered documentation generator that uses OpenAI and Gemini models to create high-quality README.md files, model cards, notebooks, tests, and boilerplate, tailored to your project’s code and structure.

Docify-AI

An intelligent command-line interface (CLI) that leverages AI to automate documentation, testing, and project scaffolding for local software projects.

Key Features

• AI-Powered Documentation Generation: Automatically create detailed and domain-specific README.md files for any project.
• Automated Test Suite Generation: Generate runnable pytest test files covering various scenarios.
• Dockerfile Generation: Create optimized Dockerfiles for containerizing your applications.
• GitHub Actions Workflow Generation: Develop YAML configurations for CI/CD pipelines.
• Project Scaffolding: Bootstrap new Python projects with a predefined structure.
• Docstring Generation: Automatically add PEP 257–compliant docstrings to Python functions, classes, and modules.
• Jupyter Notebook Generation: Kickstart data analysis with a starter notebook including data loading, EDA, and model training pipelines.
• Model Card Generation: Create MODEL_CARD.md for ML/AI projects, detailing model information, intended use, and ethical considerations.
• Flexible AI Clients: Support for both Google Gemini and OpenAI GPT models.

Installation

Docify-AI is available on PyPI and can be installed using pip:

pip install docify-ai

Usage

The docify command is the entry point to all functionalities.

1. API Key Setup

Before using the tool, you must set your GEMINI_API_KEY or OPENAI_API_KEY as an environment variable. Alternatively, you can provide it directly via the --key argument.

# Example for Linux/macOS
export GEMINI_API_KEY='YOUR_GEMINI_API_KEY'

# Example for OpenAI
export OPENAI_API_KEY='YOUR_OPENAI_API_KEY'

2. CLI Commands & Options

Global Options

These options can be used with any action:

• --path, -p: Root directory of the project (default: current directory).
• --output, -o: Custom output file/folder name.
• --client, -c: AI client to use (openai or gemini, default: gemini).
• --key, -k: Provide the API key directly, overriding environment variables.
• --ignore-dirs: Space-separated list of directories to ignore.
• --ignore-exts: Space-separated list of file extensions to ignore.

Command Examples

Generate README.md (Default Action) Analyzes your project and creates a professional README file.

docify --path /path/to/your/project

Generate Pytest Tests Creates a tests/ directory with pytest-compatible test modules.

docify --test --path /path/to/your/project

Generate a Dockerfile Creates a Dockerfile tailored to your project's needs.

docify --docker --path /path/to/your/project

Generate a GitHub Actions Workflow Creates a .github/workflows/ci.yml file for continuous integration.

docify --gha --path /path/to/your/project

Bootstrap a New Python Project Generates a basic Python project structure from a description.

docify --init "A simple Flask API for managing tasks"

Add Docstrings to a Python File Inserts Google-style docstrings into a specified Python file in-place.

docify --docstring /path/to/your/project/my_module.py

Generate a Jupyter Notebook Creates a starter Jupyter Notebook for data analysis or ML projects.

docify --notebook --path /path/to/your/data_project

Generate a Model Card Creates a MODEL_CARD.md for your AI/ML projects.

docify --model-card --path /path/to/your/ml_project

CHANGELOG

1.7.0 - 2025-09-14

• 🏗 Updated --init to accept a requirements description instead of just a project name.
• 📂 Project scaffold is now generated in the current working directory (user creates the folder first).

1.6.2 - 2025-09-08

• Optimized .ipynb and dataset files reading to avoid context length explosion.

1.6.0 - 2025-09-07

• 📝 Added --notebook option to generate a starter Jupyter Notebook with analysis pipelines and tests.
• 📄 Added --model-card option to generate a Model Card (MODEL_CARD.md) for ML/AI projects.

1.5.0 - 2025-09-05

• 📝 Added --docstring option to automatically generate PEP 257–compliant docstrings for Python functions, classes, and modules.

1.4.0 - 2025-08-28

• 🐳 Added --docker option to generate a project-aware Dockerfile.
• ⚙️ Added --gha option to generate GitHub Actions workflow YAML for CI/CD.
• 🏗 Added --init option to bootstrap a new Python project with a predefined structure.

1.3.0 - 2025-08-22

• 🚫 Added --ignore-dirs and --ignore-exts options to exclude unwanted directories and files from documentation and test generation.

1.2.0 - 2025-08-21

• 🧪 Added -t or --test option to generate pytest-compatible test modules for all project features.

1.1.1 - 2025-08-20

• 🛠 Fixed issue where project description was not visible in generated docs.

1.1.0 - 2025-08-20

• ✨ Added support for OpenAI and Gemini clients.
• 🔑 Added --key argument to provide API key without environment variables.
• 🔍 Case-insensitive --client option.

1.0.0 - 2025-08-15

• 🚀 Initial release