GoData is a comprehensive data management tool designed for scientists working with Python. It streamlines the process of handling data by abstracting file management, allowing users to focus more on their scientific research. GoData is particularly suited for interactive computing environments, such as Jupyter notebooks, and for scripts that generate numerous outputs. It ensures thread safety and provides immediate data availability across all Python interpreters on a system. Key Features and Functionality: - Project and Collection Management: Organize data into projects and collections, facilitating structured and efficient data handling. - Data Storage and Retrieval: Easily store and retrieve Python objects within projects, eliminating the need to manage file paths manually. - Automatic Folder Handling: Automatically creates and deletes folders as needed, reducing the overhead of manual directory management. - Cross-Interpreter Accessibility: Ensures that data changes are immediately available across all Python interpreters on the system, enhancing collaboration and consistency. - Thread Safety: Designed to be thread-safe, allowing for reliable concurrent data operations. Primary Value and Problem Solved: GoData addresses the common challenges scientists face in managing data files and directories during research. By abstracting the complexities of file management, it allows users to concentrate on their scientific work without the distractions of organizing and tracking numerous data files. This leads to increased productivity, reduced errors, and a more streamlined research process.