Cookiecutter Data Science (CCDS) is a CLI tool that generates standardized, opinionated project scaffolds for data science work. It wraps the cookiecutter templating engine with custom prompting logic that supports nested configuration choices (e.g., cloud storage options with sub-fields for bucket names), and post-generation hooks that dynamically write dependency files in multiple formats (requirements.txt, pyproject.toml, environment.yml, Pipfile, pixi.toml), configure linting/formatting tools (ruff or flake8+black+isort), set up testing frameworks (pytest/unittest), and scaffold code modules with boilerplate for data processing, feature engineering, modeling, and visualization. The tool is designed to be run via the `ccds` command, which defaults to the DrivenData template repository and the installed version of the template. The codebase demonstrates solid software engineering: it monkey-patches cookiecutter's internals in a controlled way to add functionality (prompting with sub-options, custom context file selection), provides a suite of reusable hook utilities for dependency management and custom config injection, and maintains extensive test coverage across multiple operating systems and environment managers (conda, virtualenv, pipenv, uv, pixi, poetry). The architecture is a thin CLI application that delegates to cookiecutter while extending it through monkey-patching and post-generation hooks. It is not a data research project itself but a tool for creating such projects.
Framefox is a full-stack Python web framework built on FastAPI and SQLModel, designed for building modern web applications with a focus on developer productivity. It follows an MVC architecture with clean separation of concerns, featuring a robust dependency injection container, comprehensive security system (including JWT, OAuth, CSRF protection, and brute force prevention), form handling and validation, session management, and a powerful CLI for code generation. The framework includes built-in profiling and debugging tools, task queuing capabilities, and email services. Its architecture emphasizes SOLID principles, with well-defined layers for controllers, services, repositories, and entities, making it suitable for both traditional web applications and API-driven projects.