Llamafile is a new Python library that allows for easy data versioning and sharing. It uses a command-line interface and integrates with Jupyter notebooks, providing an intuitive way to track changes in datasets. It utilises Git and GitHub for version control, enabling users to handle large datasets with ease.
Llamafile creates a .llamafile directory in your project, tracking changes to data files. It also generates a YAML file, which records the version history and metadata of your datasets. This file can be committed to a Git repository, facilitating easy sharing and collaboration.
The library supports various data formats like CSV, JSON, and SQLite. It uses hashing to identify changes in files, ensuring that only modified data is reprocessed. This feature optimises data processing, saving time and computational resources.
Llamafile also allows for easy data exploration with its ‘llama explore’ command. This command launches a Jupyter notebook with preloaded data, allowing users to analyse and visualise their data quickly.
In essence, Llamafile is a powerful tool for data scientists, offering simple data versioning, efficient data processing, and easy collaboration. It simplifies the management of large datasets, making it a valuable addition to any data scientist’s toolkit.
Go to source article: https://simonwillison.net/2023/Nov/29/llamafile/